Analytics Engineer - Marketing Job at Lovable (Stockholm)

Senior Marketing Analytics Engineer - Paid Media

We are seeking an experienced and analytical Senior Marketing Analytics Engineer...

Location

United States , Pewaukee; Waukesha; North Billerica; Los Angeles; Santa Monica

Salary:

95000.00 - 120000.00 USD / Year

Energy Systems

Expiration Date

Until further notice

Requirements

Bachelor’s degree in data science, Computer Science, Statistics, or a related field is required
Minimum 7 years of experience in data analytics or marketing analytics, with a proven track record in business intelligence and performance reporting
Hands-on experience with marketing measurement tools such as multi-touch attribution, media mix modeling, incrementality testing, matched market testing, and A/B testing
Advanced proficiency in Power BI and Excel for dashboard creation and data visualization
Strong expertise in SQL and familiarity with R or Python
Solid knowledge of data modeling and integration techniques
Ability to analyze large, complex datasets to identify trends and deliver actionable insights
Strong understanding of business metrics and forecasting techniques
Proven ability to collaborate effectively within a team and with cross-functional stakeholders
Exceptional attention to detail with a commitment to accuracy and timeliness

Job Responsibility

Manage analytics workstreams focused on media performance measurement and marketing attribution
Conduct ad hoc and deep-dive analyses aligned with team priorities
Partner with data engineering teams to design and build marketing infrastructure that addresses both business and analytical needs
Work cross-functionally to analyze the impact of experimentation on marketing metrics
Design and optimize reporting frameworks, ensuring timely and accurate delivery across the organization
Create and maintain dashboards to monitor strategic KPIs
Collaborate with various teams to consolidate data from multiple sources into unified repositories
Support integration of sales, operations, and consumer data to enable comprehensive analysis
Develop and refine performance metrics to measure and enhance business outcomes
Implement dashboards and reports to support strategic decision-making

What we offer

medical, dental and vision plans
life, long-term disability, flexible spending and health savings accounts
accrued paid time off
paid Holidays
401(k) retirement benefits
variable compensation including short term and long-term incentives

Fulltime

Senior Data Engineer - Digital Marketing & Analytics

The Senior Data Engineer – Digital Marketing & Analytics is responsible for impl...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
Experience supporting digital marketing, personalization, experimentation, or customer analytics use cases
Experience working with or alongside a Customer Data Platform (CDP), Azure and Fabric Data Factories
Familiarity with identity data concepts and activation workflows
Experience operating within architect-led or strategist-led delivery models

Job Responsibility

Build data pipelines and curated datasets per CDP architecture and Technical Architect guidelines
Define implementation specs covering mapping, transformation, validation, and dependencies
Maintain analytics- and activation-ready data layers for reporting, segmentation, personalization, and AI
Collaborate with Data Strategist and analytics teams to clarify measurement and AI requirements
Assess feasibility, risks, and methods using available data sources
Flag and recommend solutions for data gaps, quality issues, or dependencies
Integrate necessary first- and third-party data for CDP use cases
Apply standard ingestion and transformation patterns according to governance standards
Structure and document data for analytics and activation
Embed data quality checks, monitoring, and lineage in workflows

Fulltime

Lead Digital Analytics Engineer (Adobe Analytics)

We are looking for a Lead Digital Analytics Engineer (Adobe) with experience in ...

Location

United Kingdom , London

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

5+ years’ experience in digital analytics or analytics engineering
Strong hands-on experience with Adobe Analytics
Strong hands-on experience with Adobe Launch / Tags
Experience creating tracking specifications and tagging plans
Strong experience auditing data layers and validating implementations
Strong understanding of measurement governance, QA, and data quality management
Experience supporting marketing teams with campaign tracking and tagging
Ability to troubleshoot tracking issues and improve implementation quality
Solid understanding of digital performance measurement and reporting
Knowledge of GDPR, consent management, and cookie compliance

Job Responsibility

Owning tracking strategy, implementation quality and measurement governance across digital platforms
Ensuring data is accurate, consistent and actionable - enabling better decisions across product, marketing, and business teams

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Ai / Analytics Engineer

We are seeking an experienced AI / Analytics Engineer to join Carrier's Global D...

Location

Mexico , Monterrey

Salary:

Not provided

Beretta Clima Italia

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or a related field
3-5 years of relevant experience in analytics engineering, data engineering, AI/ML engineering, or advanced analytics roles
Strong experience working with data analytics, data modeling, and large datasets in enterprise environments
Hands-on experience developing and deploying AI/ML models and analytics solutions
Proficiency in Python, SQL, and modern analytics or ML frameworks
Experience collaborating with business stakeholders and cross-functional teams

Job Responsibility

Design, develop, and deploy analytics, AI/ML, GenAI, and Agentic AI solutions that address real business problems across functions such as Supply Chain, Manufacturing, Service, Marketing, and Commercial Operations
Build and maintain analytics engineering pipelines (data ingestion, transformation, semantic layers, feature engineering) to support advanced analytics and AI use cases
Develop and operationalize machine learning models (predictive, prescriptive, optimization) and GenAI solutions (e.g., RAG-based assistants, summarization, Q&A, copilots)
Design and implement Agentic AI workflows that orchestrate tools, data, and models to automate multi-step business processes with appropriate guardrails and human-in-the-loop controls
Partner with business stakeholders and product teams to understand requirements, frame problems, and identify opportunities where analytics and AI can drive impact
Translate ambiguous business needs into clear technical designs, data requirements, and solution architectures
Apply strong analytical thinking to define success metrics, validate assumptions, and continuously improve solutions based on outcomes
Collaborate with data platform, architecture, and security teams to ensure solutions align with enterprise standards, governance, and scalability requirements
Optimize models and pipelines for performance, reliability, cost, and scalability
Support production deployment and monitoring of analytics and AI solutions, including model performance, data quality, and system reliability

Principal Web Engineer, Marketing

Our website is our most important marketing asset — where pipeline starts, brand...

Location

Ireland , Dublin

Salary:

Not provided

Supermetrics

Expiration Date

Until further notice

Requirements

12+ years of web development experience, with 5+ years at senior/principal level in B2B SaaS
Deep expertise with Astro.js and Sanity (or Next.js + demonstrable Sanity depth)
Proven track record leading major website projects with strategic and organisational implications
Strong experience with A/B testing architecture, technical SEO, headless CMS, and the analytics/tracking layer
Ability to communicate technical trade-offs clearly to non-technical stakeholders
Practical, daily use of AI development tools (Cursor, Copilot, Claude, etc.)

Job Responsibility

End-to-end technical strategy for the marketing website — platform, architecture, and performance
Website builds and redesigns from requirements through launch
Conversion optimisation and experimentation infrastructure — enabling the growth team to move fast
The website data layer — event architecture and tracking standards that feed broader BI
Content infrastructure in Sanity — content models, reusable blocks, and COPE pipelines
AI strategy for the site — evaluating where personalisation, dynamic content, and intelligent search can move the needle
External partner management and build-vs-buy decisions

What we offer

Competitive compensation including equity
Home office allowance
Health care and leisure time insurance
€1,000 annual learning budget
Sports and wellbeing allowance

Fulltime

Senior Data Scientist –GCP Focus (Marketing Analytics)

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring
incident response support
and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design
build
and optimize marketing mix models (MMM)
attribution models
and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting

What we offer

Flexibility
with remote and hybrid work options (country-dependent)
Career advancement
with international mobility and professional development programs
Learning and development
with access to cutting-edge tools
training and industry experts

Fulltime

Senior Data Scientist- GCP Focus (Marketing Analytics)

Ideal candidates will bring a strong quantitative background and a disciplined a...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases
Contribute well-tested, maintainable code to existing object-oriented Python codebases
Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Lead Digital Analytics Engineer (Google)

We are looking for a Lead Digital Analytics Engineer with experience in digital ...

Location

United Kingdom , London

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Experience in digital analytics / analytics engineering
Strong expertise in GA4 and Google Tag Manager (GTM)
Proven experience designing tracking frameworks and measurement plans
Experience auditing dataLayers and validating analytics implementations
Strong experience with BigQuery and cloud-based data environments
Solid understanding of ELT processes and analytics data modelling
Experience transforming event-level data into structured reporting datasets
Ability to bridge analytics implementation with BI and reporting needs
Strong understanding of GDPR and consent management
Experience with OneTrust and/or CookiePro

Job Responsibility

Lead measurement strategy
Own implementation quality
Drive reliable, scalable analytics across web, product and campaign environments
Ensure digital data is accurate, compliant and actionable
Enable better decisions across marketing, product and business teams

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

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Analytics Engineer - Marketing

Job Description

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