Ofertas de empleo para Google Analytics

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Python TSQL Cloud Coumputing Git

Scopely is looking for an Analytics Engineer, Finance to join our Finance team in Barcelona, Spain, on a hybrid basis, working 3 days a week from our hub.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

In this role, you will help to improve the reliability, accuracy, and maintainability of Finance data workflows by developing and supporting automated pipelines, data transformations, and reporting models. Working closely with stakeholders and the Lead Analytics Engineer in Finance, this role contributes to reducing manual processes, strengthening data quality, and ensuring dependable financial information for monthly close, revenue reporting, and accounting activities.

What You Will Do

• Partner with Finance stakeholders to understand business requirements, financial processes, and controls, translating them into practical technical solutions with guidance from the Lead Analytics Engineer.
• Develop, maintain, and troubleshoot data pipelines, SQL transformations, and reporting models supporting monthly close, revenue reporting, and accounting workflows.
• Investigate missing, delayed, inconsistent, or incorrect financial data, identify root causes, and implement reliable solutions.
• Help modernize legacy SQL, scheduled workflows, and manual processes into maintainable, documented, and dependency-aware pipelines using dbt.
• Build and improve automated data-quality checks, reconciliations, monitoring, and alerting to strengthen the reliability of Finance data workflows.
• Apply Git, code review, testing, and deployment practices to improve the quality and maintainability of Finance data assets.
• Support the automation of recurring spreadsheet-based processes and manual handoffs, while maintaining technical documentation, dependency maps, runbooks, and recovery procedures.
• Collaborate with the Lead Analytics Engineer to apply engineering standards and contribute to governed, reusable models within the Looker semantic and reporting layer.
  
  

What We're Looking For

• Strong SQL skills and experience developing and maintaining production data transformations.
• Experience working with a modern cloud data warehouse such as BigQuery, Snowflake, or Redshift.
• Experience with data transformation frameworks such as dbt, Dataform, or equivalent technologies.
• Knowledge of Git, version control, code reviews, and collaborative software development practices.
• Familiarity with data-quality checks, automated testing, monitoring, or reconciliation processes.
• Strong debugging and problem-solving skills, including the ability to investigate issues in inherited or imperfectly documented systems.
• Experience working with Finance, Accounting, Revenue Accounting, month-end close, or audit-related data.
• Ability to communicate technical concepts clearly to non-technical stakeholders, collaborate with engineering colleagues, and independently progress defined technical problems while seeking guidance when appropriate.
• Openness to learning and responsibly using AI-supported tools to improve SQL development, documentation, debugging, testing, and workflow efficiency, while maintaining appropriate data security and validation practices.
  
  

Bonus Points

• Familiarity with financial controls, reconciliation, general-ledger concepts, or revenue recognition.
• Experience in gaming, digital products, app-store revenue, or virtual economies.
• Experience with data lineage, CI/CD, observability, or data governance practices.
• Experience working with GCP, Airflow, Cloud Composer, or Looker.
• Experience modernizing legacy SQL pipelines or stored-procedure-heavy environments.
• Familiarity with orchestration tools for scheduling, dependency management, monitoring, and recovery.
• Experience supporting business-critical workflows with defined service-level agreements (SLAs).
• Working knowledge of Python or another programming language used for automation and data workflows.
• Experience using or integrating agentic workflows in Finance processes.
  
  

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

About Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact [email protected]. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 nov.

. Javascript Python TSQL Docker Cloud Coumputing Kubernetes R IoT Tableau

The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high performance. We don’t just "report" on what happened; we engineer the tools and insights that determine what happens next.

This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence. Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support.

Location: This is a remote role based in the AMER or EMEA Region.

The role entails

• Multi-Disciplinary Leadership: Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad.
• Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code.
• Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data).
• Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services.
• “Effectiveness at Work” Strategy: Identify opportunities to leverage “High Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value.
  
  

What we are looking for in you

• Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering.
• Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation.
• Ability to translate business questions to key research objectives.
• Ability to identify the best methodology to execute research, synthesize and analyze findings.
• Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset.
• Willingness to examine the status quo and be resilient in the face of challenges.
• Ambition to build tomorrow's AI/Data stack in open source.
• An exceptional academic track record from high school and university.
• Business level written and spoken English.
• Sincere personal motivation aligned with our mission.
• International travel 2-4 times a year for company events up to two weeks long.
  
  

In addition we expect that you will match our values, by being:

• Precise, taking care to deliver correctness and clarity.
• Reliable, delivering high quality work that builds trust and confidence.
• Accessible, collaborating to build products and systems that are usable.
• Adroit, blending enthusiasm, knowledge, adaptability, style and character.
  
  

Nice-to-have skills

• Experience with dbt (Data Build Tool), Airbyte, Ranger, Superset, Temporal, or Trino
• Basic understanding of containerization technologies such as Docker and Kubernetes
• Agentic Engineering
• Product management
• User experience and design
  
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Bi-annual compensation review
• Company recognition rewards
• 40 days annual leave per annum, including public holidays and our All Company holiday periods
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.

Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 nov.

Teletrabajo . API Python TSQL Cloud Coumputing REST Google Ads Kafka Spark LESS Salesforce

Job Description

Kleinanzeigen reaches 36M+ monthly users and is Germany’s leading online classifieds market. We are a sustainability-focused platform where you won't just write code; you will power the services that bridge our high-traffic backend with seamless user experiences.

As a Data Engineer (Analytics & Products) at Kleinanzeigen, you start where the data need begins — not where the code does. You will work directly with product managers, analysts, and domain stakeholders to understand what decisions the data needs to support, how it will be consumed, and what already exists in the platform before writing a single line. From there, you design and build data assets that are homogeneous with the existing stack, cost-effective at scale, maintainable by the next engineer, and self-discoverable, so consumers can find, understand, and trust what you built without asking you.

You will own the full lifecycle: ingestion through Airflow DAGs, transformation across dbt stage, core, and report layers on Databricks, and the quality, documentation, and observability that make those assets production-grade. You stay current with Airflow and design DAG topology deliberately, knowing when to use dynamic task mapping, data-aware scheduling, the TaskFlow API, or a Cosmos dbt task group with Watcher mode for performance-critical pipelines. You understand Spark well enough to know why a dbt incremental model running in Databricks produces a full table scan instead of a partition filter push-down, how a poorly configured merge operation compounds into file fragmentation over time, and what to do about it, whether that means adjusting the incremental strategy, adding liquid clustering, running OPTIMIZE, or rethinking the model grain entirely. You write Python and shell scripts as naturally as SQL and follow engineering core principles: modularity, idempotency, testability, not because they are rules, but because they make your work last.

You operate in an AI-First engineering model: AI handles execution; you own intent, precision, and correctness. You use it to automate, to accelerate best practices, and to raise the quality bar across the team, not to ship faster with less judgment. You will collaborate closely with analysts, product managers, data platform engineers, and stakeholders across the company to ensure that the datasets we create and maintain in our data platform are reliable, trustworthy, and built to serve the decisions that matter.

Job requirements

Data Modelling & dbt Development

• Implement dbt models across the medallion architecture applying the right materialisation strategy for each layer and use case — incremental, full refresh or snapshots — with consistent naming conventions, YAML documentation, metadata tagging, unit tests to validate critical business logic, and reusable macros for common transformation and data replication patterns
• Build and refactor models for different business areas of the company, including for example marketing performance, product metrics, C2C transactions, monetisation, vibrancy, and trust & safety
• Author reusable macros and apply consistent naming conventions, YAML documentation, and metadata tagging (billed, retention, gdpr)
• Design data models that are homogeneous with the existing stack, built at the right grain for the use case, cost-effective to run, and self-discoverable without needing the author to explain them
• Perform cost-aware modelling: clustering strategies, warehouse sizing, incremental scan reduction, and pre-aggregation layers
  
  

Data Ingestion & Pipeline Engineering

• Build and maintain Airflow DAGs using Python operators, designing DAG topology deliberately by choosing execution patterns, dependency structures, and sensor logic that match the operational requirements of each pipeline
• Design sensor logic for pipeline dependencies, including intraday vs daily completeness checks and DST-aware temporal handling
• Operate Cosmos dbt task groups within Airflow, including DAG splitting, warehouse selection, and Cosmos version upgrades
• Integrate new data sources end-to-end by building reliable, fault-tolerant connections across heterogeneous endpoint types including REST APIs, event streams, database connectors and file-based sources, with error handling, retry logic, and security patterns that make each integration production-safe from day one, unit testing every operator and transformation component where possible, and defining SLAs and SLOs that set clear expectations on data freshness, completeness, and availability for downstream consumers
• Work with data in the right format for each layer: Avro for event-driven ingestion schemas, Parquet for efficient columnar storage, and Delta for ACID-compliant lakehouse tables with time travel and schema evolution
  
  

Data Quality & Reliability

• Write dbt tests (not_null, unique, accepted_values) and semantic row-count checks to catch data quality issues before they reach consumers
• Author unit tests for critical business logic using dbt's unit test framework
• Own data quality across the full lifecycle: design and maintain quality check pipelines combining dbt tests, semantic validation and custom logic, monitor pipeline health proactively before issues reach downstream consumers, diagnose and resolve root causes across schema drift, silent failures, duplicate data and idempotency issues, and plan and execute backfills safely with pre-validation, before and after checks and documented rollback criteria
• Apply governance standards consistently across every pipeline and data asset you own, ensuring compliance requirements, data classification, retention policies and ownership accountability are traceable and maintained as the platform evolves
• Contribute to the reliability of the platform beyond your own work, flagging systemic issues, improving shared patterns, and leaving every codebase and dataset in better shape than you found it
  
  

Cost Optimisation

• Identify and implement cost reduction opportunities: warehouse downsizing, incremental model rewrites, DAG consolidation, unused table deprecation
• Ensure governance rules for compliance and cost ownership are applied consistently across pipelines and data assets — including tagging standards (business_unit, business_area, team) in Airflow and dbt
• Evaluate and act on compute cost signals from Databricks query cost tables
  
  

Stakeholder Collaboration & Knowledge Sharing

• Partner with analysts, product managers and domain teams to translate business requirements into accurate, reusable data models, and enable them to build and own their own data assets through patterns, templates, PR reviews and pair programming
• Provide consultancy and training to product teams on data ingestion and transformation patterns
• Support analysts in adopting dbt for report-layer development, including onboarding, PR review, and pair programming
• Enable teams to build their own data products: provide patterns, templates, and consultancy so analysts and product teams can develop and own report-layer assets independently
• Define and document reusable metrics, dimensions and business logic in the semantic layer, and capture institutional knowledge including domain assumptions, architectural decisions and data lineage context so it lives in the codebase and not in people's heads
• Participate in cross-team alignment on data model standards, shared definitions and platform evolution, representing the data engineering perspective in decisions that affect multiple domains
  
  

AI-First Engineering

• Review and verify all AI-generated code before submitting for peer review — you own correctness, not the AI
• Maintain machine-readable context files (CLAUDE.md) in repositories you own, capturing architectural constraints, naming conventions, and domain-specific rules for AI agents
• Use AI tooling as a force multiplier: author intent specifications, verify AI-generated outputs with full ownership of correctness, contribute to shared skills and context files, and use automation to raise quality standards across the team
• Build and iterate on Claude agents for scoped engineering tasks (e.g. report-layer model extension, documentation generation, comparison notebooks)
• Orchestrate multi-agent workflows for complex tasks (large-scale migrations, documentation backfills, cross-domain refactors) while verifying outcomes
• Contribute to the team's AI Skill Library: dbt patterns, ingestion templates, data quality check agents
  
  

Job responsibilities

Required

• Advanced SQL: window functions, CTEs, query optimisation, partitioning and clustering, with enough depth to understand execution plans and diagnose performance issues
• Hands-on production experience with dbt across the medallion architecture: models, tests, unit tests, macros, snapshots, YAML documentation and materialisation strategies
• Experience building and operating Airflow DAGs using Python operators, with the ability to design DAG topology deliberately for different pipeline requirements
• Proficiency in Python and shell scripting for pipeline development, ingestion tasks and operational tooling
• Solid understanding of lakehouse concepts and data formats: Delta Lake for ACID-compliant storage, Parquet for columnar efficiency, and Avro for event-driven schema definition
• Ability to work independently: owning tickets from design through delivery, including incident response and backfills
• Ability to gather requirements from non-technical stakeholders, understand consumption patterns, and translate business needs into data models that are accurate, maintainable and cost-effective
• Experience defining and maintaining schema definitions (Avro/ODIN or equivalent schema registry)
• Fluency with AI-assisted development workflows as part of daily practice: authoring intent specifications, verifying and owning AI-generated outputs, and contributing to shared context and tooling so the whole team benefits
• Experience with semantic layer concepts: defining reusable metrics, dimensions, and business logic that serve as a single source of truth across consumers (e.g. dbt Semantic Layer, Looker LookML, or equivalent)
• Spark comprehension at the level needed to understand how Databricks processes dbt models, read execution plans, and diagnose and fix performance issues such as full table scans, merge inefficiencies and file fragmentation
• Engineering fundamentals applied to data work: modularity, idempotency, testability and single responsibility as default practices, not afterthoughts
• Experience treating cost as a first-class constraint: identifying and acting on optimisation opportunities across compute, storage and pipeline design
  
  

Nice to Have

• Experience with Kafka or event-driven ingestion
• Familiarity with Salesforce, Google Ads, Meta, or other marketing/CRM APIs
• Experience with data modelling patterns and when to apply each: dimensional modelling, star schema, wide tables, one big table, slowly changing dimensions, and normalisation vs denormalisation tradeoffs
• Exposure to compliance requirements in data engineering: data classification, retention policies and privacy-aware modelling
• Experience with cost optimisation in cloud data platforms
• Experience orchestrating multi-agent AI workflows for complex engineering tasks
• Contribution to shared AI tooling, skills, or context files in previous roles
  
  

What Makes You a Great Fit

• Proactive by default: you don't wait to be asked. You flag issues before they become incidents, own follow-ups after delivery, and look for ways to improve things beyond the scope of your ticket.
• Generous with knowledge: you enjoy sharing what you know, whether that's through documentation, pair programming, code reviews, or supporting analysts and product teams in adopting the data platform.
• A team builder: you care about the people around you as much as the work. You contribute to a culture where the team gets better together, not just individually.
• An architect of intent, not just a code translator: you define the what and why with precision, use AI to handle the how, and verify that the output actually solves the problem. You understand that AI commoditizes syntax production — your value is in T-shaped thinking that connects business context, data modeling, and technical constraints.
• Quality-first mindset enabled by AI: you treat comprehensive testing, documentation, and data quality checks as non-negotiable — precisely because AI has made them cheap to produce. Low test coverage is no longer a time constraint; it's a choice.
  
  

Job benefits

At Kleinanzeigen, we care about our people — their wellbeing, growth, and life beyond work. Our benefits are designed to support you holistically, giving you flexibility and opportunities to thrive.

✨ Flexibility

• 26 business days of paid annual holidays
• 20 days “work from anywhere”
• Flexible working time (hybrid)
• Paid additional parental leave for both parents
• Extra paid days off for special occasions (e.g. your wedding or a move)
  
  

❤️🩹 Wellbeing & Support

• Private health insurance
• Gym Pass (may cover up to 70% of gym membership fees)
• 40€ per month as a remote working allowance.
  
  

📚 Growth & Development

• Personal development budget
• Learning opportunities to grow your skills and career
• A unique position in an international and dynamic environment
• A flat, collaborative culture where your feedback actively shapes our processes
  
  

🛍️ Perks & Everyday Benefits

• Competitive compensation package (Base salary + annual bonus)
• Flexible Remuneration Program (tax-efficient options for transport, restaurant vouchers and childcare)
• Corporate benefits and exclusive discounts
• An attractive referral program
  
  

Kleinanzeigen is an equal opportunity employer that values diversity and inclusion. We welcome people of all backgrounds, races, religions, colours, national origins, gender identities, sexual orientation, ages, marital status, or disability status.

If this role sparks your interest but you’re not sure you meet every single requirement, we’d still love to hear from you anyway!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada9 nov.

Teletrabajo . Google Analytics Google Ads Excel SEO

Estamos buscando un o una especialista Paid Media (PPC) para una agencia digital con sede en Madrid.

¿QUÉ SE OFRECE?

• Teletrabajo y horario 100% flexible.
• Contrato de 37,5h/semana.
• Horario de verano intensivo en julio y agosto.
• Salario de 23.000 euros/brutos anuales en función de la experiencia aportada al puesto.
  
  

REQUISITOS MÍNIMOS

• Titulación universitaria o FP, en curso o finalizada, en Marketing, Publicidad o Tecnologías.
• Experiencia mínima de 2 años demostrable en Google Ads, Meta Ads, Google Analytics (GA4), Google Tag Manager y Looker Studio.
• Experiencia en el sector educativo, con optimización a matrícula y seguimiento en CRM.
  
  

REQUISITOS VALORABLES

• Certificaciones de Google Ads u otras certificaciones.
• Conocimiento de automatizaciones, secuencias y scripts.
• Experiencia en ClickUp, Excel.
  
  

¿QUÉ FUNCIONES REALIZARÁS?

• Definir con cada cliente los objetivos y la estrategia de marketing digital a partir del briefing.
• Planificar los medios y gestionar presupuestos, incluidos grandes presupuestos y campañas nacionales e internacionales.
• Crear, configurar y optimizar campañas en Google Ads (Search, Shopping, Discovery, PMax, Display y YouTube), Meta, TikTok, LinkedIn, Bing y Amazon Ads, programática y nativa.
• Realizar setups completos: Google Tag Manager, etiquetas y eventos, píxeles de conversión, funnels, públicos y agrupaciones de contenido, trabajando con GA4.
• Ajustar y mejorar Google Merchant Center.
• Optimizar campañas de ecommerce y captación de leads por rentabilidad (CPL, CPA, ROI y ROAS) y, en educación, a matrícula.
• Redactar los anuncios y las creatividades.
• Analizar resultados, elaborar informes en Looker Studio y encargarte del reporting y la relación con el cliente.
• Coordinarte puntualmente con otros departamentos como SEO o diseño.
• Redactar artículos de blog siguiendo los criterios establecidos.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada9 nov.

Publicidad en Internet Marketing digital Google Analytics Negociación Publicidad Google Ads Administración de la cadena de suministro Estrategia de marketing Gestión operativa Medios de comunicación social

GESTOR/A COMERCIAL – SECTOR BANCARIO

¿Tienes experiencia comercial en banca y buscas un nuevo reto profesional? ¡Esta oportunidad puede interesarte!

Desde Valora Asociados estamos seleccionando un/a Gestor/a Comercial para una entidad financiera consolidada, que apuesta por la cercanía, la atención personalizada y el desarrollo profesional de sus empleados.

Funciones principales:

• Gestión y fidelización de una cartera de clientes.
• Captación de nuevos clientes y generación de oportunidades de negocio.
• Asesoramiento y comercialización de productos y servicios financieros.
• Identificación de las necesidades de los clientes, ofreciendo soluciones personalizadas.
• Seguimiento y cumplimiento de los objetivos comerciales.

Requisitos:

• Experiencia mínima de 1 año en el sector bancario, desempeñando funciones comerciales.
• Formación universitaria en ADE, Economía, Empresariales o similar.
• Conocimiento de productos y servicios financieros.
• Habilidades comerciales, orientación a resultados y vocación de servicio al cliente.
• Se valorarán certificaciones MiFID II y LCCI, así como formación especializada en banca.

¿Qué ofrecemos?

• Incorporación a una entidad financiera sólida y consolidada.
• Estabilidad laboral y posibilidades de crecimiento profesional.
• Retribución fija más variable en función de objetivos.
• 31 días de vacaciones.
• Medidas de flexibilidad laboral.
• Formación continua y desarrollo profesional.
• Beneficios sociales: plan de pensiones, condiciones financieras preferentes, descuentos en seguros y retribución flexible.

¿Te interesa?

¡Queremos conocerte!

Puedes inscribirte directamente en esta oferta o enviarme tu CV actualizado a:

📩 [email protected]

En Valora Asociados estamos comprometidos con la igualdad de oportunidades y la no discriminación. Valoramos todas las candidaturas en función de sus competencias, experiencia y adecuación al puesto, garantizando un proceso de selección inclusivo y transparente.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 nov.

. Google Analytics Google Ads SEO

We are a People First company! 😊

Êtes-vous passionné par la communication, la publicité et le référencement naturel (SEO)? Nous recherchons un spécialiste dont le français est la langue maternelle et qui a le souci de la cohérence et de la clarté.

Si vous écrivez parfaitement le français, aimez travailler en équipe, avez une attitude positive, prenez des initiatives, êtes désireux d'apprendre et de partager vos connaissances, et êtes motivé par la croissance professionnelle, vous êtes notre candidat(e) idéal(e)!

Gestion des contenus & Email Marketing

• Planifier, coordonner et optimiser la production de contenus éditoriaux pour garantir une couverture pertinente et engageante de l’actualité.
• Gérer le calendrier de publication et la diffusion des articles, newsletters et contenus multimédias sur les différentes plateformes.
• Développer et optimiser les campagnes d’email marketing, en segmentant l’audience et en personnalisant les messages pour maximiser l’engagement et le taux d’ouverture.
• Analyser la performance des contenus et des newsletters (taux d’ouverture, taux de clics, engagement, conversions) et proposer des ajustements pour améliorer les résultats.
• Collaborer avec les journalistes, rédacteurs et équipes techniques pour garantir une diffusion fluide et efficace des contenus sur le site et via les newsletters.
  
  

SEO & acquisition organique

• Piloter l’optimisation on-page et off-page : structuration des contenus (balises, maillage interne, rich snippets), optimisation technique en collaboration avec les développeurs, netlinking et link building.
• Réaliser des audits SEO, analyser la SERP et identifier les opportunités de mots-clés (search intent, longue traîne, entités sémantiques).
• Améliorer l’UX writing et l’architecture de l’information pour favoriser l’indexation et l’engagement des visiteurs.
• Réviser, traduire et adapter des copys (titres, descriptions, CTA, microcopy) pour garantir leur qualité linguistique et leur pertinence SEO, ainsi que créer et maintenir un glossaire immobilier français de référence, assurant la cohérence terminologique sur l'ensemble des contenus du site.
• Suivre et analyser les KPIs SEO (trafic organique, CTR, dwell time, taux de conversion) via Google Analytics 4, Piano Analytics, Marfeel, Search Console, SEMrush, Ahrefs, Screaming Frog et autres outils spécialisés
  
  

Gestion des campagnes publicitaires

• Création et gestion de campagnes sur Google Ads, Meta Ads, LinkedIn Ads et autres plateformes.
• Définition des objectifs : notoriété, trafic, conversions, leads, etc.
• Ciblage et optimisation : définition du ciblage et optimisation des annonces pour maximiser les résultats.
• Suivi et analyse des performances : surveillance des KPIs, génération de rapports de performance avec recommandations d’optimisation.
• Tests et ajustements : exécution de tests A/B sur les annonces (textes, images, vidéos, landing pages) et ajustement des campagnes en fonction des performances.
• Collaboration : coordination avec les équipes de design et UX pour améliorer l’expérience utilisateur.
• Amélioration des conversions : optimisation des pages d’atterrissage pour augmenter le taux de conversion.
  
  

Un Peu Plus Sur Nous

• Le talent : Si nous sommes arrivés jusqu'ici, c'est parce que nous avons des gens brillants qui travaillent dur sans perdre leur sourire.
• La diversité : Nous aimons l'individualité et le fait que chacun ait son propre parcours.
• Respect et reconnaissance : Si cela vous tient à cœur, vous avez trouvé le bon endroit.
• Transparence : Ce que vous voyez est ce que vous obtenez. Nous n'avons pas de bureaux ni de symboles de statut.
  
  

Voulez-vous être un idealista?

Nous vous attendons 😉

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 nov.

. Python TSQL Cloud Coumputing R Agile Machine Learning Power BI Tableau

Job Description & Summary

En PwC Consulting ayudamos a nuestros clientes a convertir los datos en ventajas competitivas mediante soluciones avanzadas de analítica, inteligencia artificial y transformación digital. Dentro de la división de IA & Analytics, trabajamos con organizaciones líderes de distintos sectores para diseñar e implementar soluciones basadas en datos que permitan optimizar procesos, mejorar la toma de decisiones y generar valor de negocio.

Buscamos un/a Data Analyst con entre 1 y 3 años de experiencia que quiera desarrollar su carrera en un entorno dinámico, innovador y orientado al aprendizaje continuo.

Funciones principales

• Analizar, transformar y validar grandes volúmenes de datos procedentes de diferentes fuentes.
• Diseñar y desarrollar cuadros de mando e informes utilizando herramientas de visualización de datos.
• Identificar tendencias, patrones e insights de negocio que apoyen la toma de decisiones.
• Participar en proyectos de analítica avanzada, inteligencia artificial y data-driven transformation.
• Colaborar con equipos multidisciplinares para definir requisitos funcionales y traducir necesidades de negocio en soluciones analíticas.
• Automatizar procesos de reporting y extracción de información.
• Documentar desarrollos, modelos de datos y resultados de análisis.
• Apoyar la implantación de estrategias de gobierno y calidad del dato.
  
  

Requisitos

• Entre 1 y 3 años de experiencia en análisis de datos, business intelligence o consultoría de datos.
• Conocimientos de SQL.
• Experiencia en herramientas de visualización como Power BI, Tableau o similares.
• Conocimientos de Python y/o R para análisis de datos.
• Capacidad analítica y orientación a la resolución de problemas.
• Habilidades de comunicación y presentación de resultados.
• Nivel de inglés intermedio-alto (B2 o superior).
  
  

Se valorará

• Experiencia en proyectos de inteligencia artificial o machine learning.
• Conocimientos de plataformas cloud.
• Experiencia en entornos de consultoría.
• Conocimiento de metodologías ágiles.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 nov.

Gestión Google Analytics Photoshop SEO Illustrator

Sobre la empresa

Desde Ola Creators, plataforma que conecta a creadores de contenido y talento creativo con marcas y agencias, hemos abierto una nueva oferta de técnico de marketing para una empresa valenciana con más de 40 años de experiencia en el sector de la iluminación.

¿Qué buscamos?

Buscamos un/a Especialista en E-commerce y Marketing Digital para liderar y desarrollar su proyecto de comercio electrónico.

La persona seleccionada será responsable de gestionar y optimizar tiendas online en WordPress y PrestaShop, mejorar su posicionamiento SEO, desarrollar contenidos atractivos y proponer estrategias que contribuyan al crecimiento de nuestros canales digitales.

Buscamos un perfil creativo, organizado, proactivo y con autonomía, que combine conocimientos de comercio electrónico, marketing digital y diseño gráfico.

Valoraremos especialmente la experiencia en el sector de complementos y equipamiento para el hogar, aunque estamos abiertos a perfiles con formación, conocimientos y potencial de desarrollo.

Condiciones:

• Trabajo 100 % presencial en Vilamarxant (Valencia).
• Jornada completa de lunes a viernes, de 07:00 a 15:00 h.

Salario: 27-30k/año bruto

Skills

• Planificación del contenido
• Gestión de la comunidad
• Creación de Reels detrás de cámara

Responsabilidades

• Desarrollar y ejecutar acciones de posicionamiento SEO. Crear contenidos comerciales y promocionales para la web
• Liderar la gestión y desarrollo de las tiendas online analizando el tráfico web, conversiones y resultados y proponer mejoras para incrementar la visibilidad y las ventas de manera coordinada con el equipo informático
• Actualizar y optimizar fichas de producto y categorías. Diseñar y editar imágenes, banners y material gráfico.
• Crear y editar vídeos de producto y contenido audiovisual y apoyar la gestión de redes sociales y campañas digitales.

Requisitos

• Conocimientos de SEO y posicionamiento web (Google Analytics y Google Search Console)
• Conocimientos de edición de vídeo (Premiere Pro o similar)
• Conocimientos de WordPress, WooCommerce y PrestaShop
• Capacidad de redacción de contenidos comerciales
• Manejo de Adobe Photoshop e Illustrator
• Experiencia o formación en comercio electrónico. Se valorará experiencia en el sector de complementos para el hogar.

¿Como aplicar? ⬇️

Tienes que aplicar a través de la plataforma Ola Creators, subiendo tu portfolio, ejemplos de trabajos y CV para que la empresa pueda valorar tu perfil. Si aún no tienes perfil en la plataforma de OlaCreators, regístrate, ¡son menos de 2 minutos! 👋🏻

https://app.olacreators.com/creator/offers/community-manager-grupo-iluminacion-ajp-s-l-u?from=active

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 nov.

Teletrabajo . Javascript jQuery HTML Google Analytics Salesforce

Job Description:

Hola, somos Merkle! Una compañía especializada en Customer Experience Management, que forma parte del grupo global de comunicación dentsu.

Ayudamos a empresas IBEX35, grandes anunciantes y compañías Fortune 500 a desarrollar experiencias de clientes únicas y personales a través de los datos, la tecnología y la creatividad.

Poseemos capacidades únicas en Customer Experience, Data Management e Intelligence Analytics.

Al tiempo que incorporamos la visión estratégica a nuestro alto grado de especialización creando una manera de trabajar única con nuestros clientes.

Con sede en Madrid, Barcelona y Gijón, la base del liderazgo de Merkle lo forman las personas. Un EQUIPO de TALENTO DIGITAL formado por profesionales con gran pasión, ilusión y potencial en su trabajo.

Job Description

En MERKLE apostamos por aquellas personas a las que les gusta salir de zona de confort, que aspiran a encontrarse y superar nuevos retos y que quieren trabajar en un ambiente amigable y donde todos somos un equipo.

Buscamos personas motivadas, que se propongan retos y que se sientan cómodas trabajando en equipo y proponiendo nuevas formas de hacer las cosas. Personas que disfruten del trato con el cliente en un ambiente donde los datos nos rodean y la interpretación de los mismos es nuestro arte.

Tu misión como Martech Engineer será , junto con el resto de tu equipo, gestionar soluciones tecnológicas de recolección de datos en todos los canales digitales de las compañías para garantizar la disponibilidad y la calidad de la información recolectada, teniendo como finalidad la toma de decisiones basada en datos.

Tus principales funciones serán:

• Diseñar, implementar y evolucionar soluciones tecnológicas personalizadas para la recolección Eintegración de datos en todos los canales digitales, garantizando un ecosistema MarTech coherente y preparado para escalar.
• Configurar e implementar herramientas de analítica digital (Google Analytics, Adobe Analytics,..) dentro de un marco de medición robusto.
• Implementar y mantener herramientas MarTech a través de herramientas de gestión de Tags (Tag Manager), CDP u otras tecnologías del stack.
• Formarte de manera continua en las tecnologías, frameworks y disciplinas digitales del sector, incluyendo privacidad, y nuevas tendencias MarTech.
• Dar soporte y acompañamiento técnico a equipos de Marketing, Producto, Datos e IT, ayudándoles a sacar el máximo partido a las herramientas y a evolucionar sus capacidades digitales
  
  
  

Te ofrecemos un puesto de trabajo estable, de futuro, con posibilidad de promoción interna.

Te daremos formación inicial y formación continua, aunque tu espíritu de buscar por ti mismo y tus ganas de aprender debe ser algo que marque tu desarrollo profesional con nosotros.

Lo ideal es que tengas:

• Formación técnica (grado o licenciatura en Informática o Telecomunicaciones, o CFGS en informática o similar)
• Experiencia en proyectos de ámbito digital.
• Orientación a cliente y dotes comunicativas.
• Conocimientos avanzados en Javascript, jQuery y HTML.
• Actitud entusiasta y proactiva.
  
  
  

Además, valoraremos positivamente sí:

• Tienes experiencia o nociones en alguna herramienta de Marketing Digital (Google Analytics o Adobe analytics)
• Tienes experiencia en desarrollo web (preferiblemente Front-End)
• Tienes experiencia en desarrollo de apps y/o estás familiarizado con Frameworks de desarrollo para apps híbridas.
• Tienes Experiencia en plataformas de gestión de tags, como Google Tag Manager y/o de gestión de consentimiento (One Trust o similar)
• Muy valorable experiencia en DMP y CDP (Adobe Audience Manager, Salesforce, Tealium Audience Stream…).
  
  
  

Ofrecemos un paquete completo de beneficios diseñado para impulsar tu crecimiento profesional y bienestar:

• Contrato indefinido, queremos que te sientas parte de nuestro equipo a largo plazo.
• Excelente ambiente de trabajo, con un equipo que fomenta la colaboración y el éxito compartido.
• Servicio de acompañamiento al empleado, para apoyarte en tu desarrollo personal y profesional.
• Seguro médico privado, para que tú y tu familia estén siempre protegidos.
• Amplio número de días de vacaciones para disfrutar del equilibrio entre tu vida personal y profesional.
• Horario flexible, adaptado a tus necesidades y con horario de verano durante tres meses.
• Formato híbrido de teletrabajo, para que combines lo mejor del trabajo en casa y en oficina.
• Formación continua, con acceso a plataformas de cursos técnicos y softskill.
• ¡Otros muchos beneficios que nos encantará contarte durante el proceso de selección!
  
  
  

Inclusión y Diversidad

En Dentsu, valoramos la diversidad y fomentamos un entorno inclusivo donde cada talento puede prosperar. Nos enorgullece ser reconocidos por nuestra estrategia de sostenibilidad y nuestro compromiso con la innovación y el impacto positivo en la comunidad. Nuestra ambición es construir una sociedad justa y más igualitaria. Es por eso por lo que, alentamos las solicitudes de personas con discapacidad, de todas las edades, nacionalidades, orígenes y culturas. Dentsu está comprometida con la igualdad de oportunidades entre hombres y mujeres.

#MERKLESPAIN

Location:

Gijon

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent