Analytics Engineer Job at N26 (Berlin)

Analytics Engineer, Product Analytics

As an Analytics Engineer at Airtable, you’ll play a pivotal role in shaping our ...

Location

United States , San Francisco; New York City

Salary:

143600.00 - 177200.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or a related field (or related experience)
3–5 years of experience working with data, with at least 1 year partnering with product stakeholders
Curiosity and fluency with AI/LLM tools (ChatGPT, Claude, Cursor, etc.)
Experience in SaaS, consumer tech, or data-driven product environments
Proficiency with SQL and data modeling best practices (e.g., dbt, Databricks, Snowflake, BigQuery)
Experience with BI tools and BI modeling best practices (e.g., Looker, Omni Analytics, Tableau, Mode, Hex)
Understanding of user funnels, retention metrics, and growth analytics
Strong ability to ensure data accuracy, reliability, and consistency
Ability to translate business questions into analytical approaches, interpret results, and communicate actionable insights
Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and event taxonomy design

Job Responsibility

Own and maintain core product data pipelines across tools such as dbt, Databricks, Looker, and Omni Analytics, ensuring reliability and scalability
Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas
Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports
Establish trusted partnerships with product managers, engineers, analysts, and leadership, serving as the go-to resource for product data insights and technical guidance
Lead analytics engineering efforts for high-impact product launches, including documentation of tracking plans, launch pipelines, and post-launch reporting
Participate in or lead cross-functional projects where analytics engineering contributions directly influence product strategy decisions

What we offer

Restricted stock units
Incentive compensation
Comprehensive benefits package

Fulltime

Senior Analytics Engineer

Our vision is to build the next generation platform to enable easy and fast crea...

Location

United States , San Francisco

Salary:

170000.00 - 208000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

7+ years of experience in Analytics Engineering, Data Engineering, or Data Analytics
Proficiency in SQL, Python, and dbt
Strong communication skills and the ability to translate business needs into tractable work items
Extensive experience with prosumer and/or enterprise SaaS products
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset

Job Responsibility

Design, develop, and optimize robust data models to facilitate seamless reporting, analysis, and experimentation for marketing, product, and finance teams
Spearhead the creation of advanced marketing pipelines, ensuring data flows efficiently and accurately to support customer segmentation, campaign optimization, and ROI analysis
Collaborate closely with cross-functional teams to refine metrics and build intuitive dashboards that empower stakeholders with actionable insights
Standardize, monitor, and document data assets, ensuring data integrity and consistency throughout our analytics infrastructure

What we offer

generous healthcare package
401k matching program
catered lunches
flexible vacation time

Fulltime

Senior Analytics Engineer

Join Qargo as a Senior Analytics Engineer and turn complex logistics data into c...

Location

Belgium , Ghent

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Extensive experience in data analytics, BI engineering, or analytics engineering in a SaaS or data-driven environment
Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or PowerBI)
Experience with analytics platforms such as Mixpanel and user behavior tracking methodologies is a plus
Proven ability to collaborate effectively with multidisciplinary teams (product, engineering, sales, finance)
Strong analytical and problem-solving skills, with an eye for scalability and data quality
A background in Computer Science, Data Engineering, Statistics, or a related field
A proactive mindset with the ability to take ownership of complex problems and guide them to completion

Job Responsibility

Own and evolve Qargo’s data architecture, ensuring scalable, reliable and high-quality data pipelines
Maintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights
Build and refine internal BI dashboards to support data-driven decision-making across departments
Develop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities
Create product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions
Lead integration-related reporting, providing visibility on integration health, tenant usage, and performance
Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns
Mentor team members, set best practices, and raise the bar for analytics engineering within Qargo

What we offer

Real impact and ownership in a growing international scale-up
A supportive and collaborative team culture
Hybrid working setup with flexibility and trust
Opportunities to learn, grow, and expand your technical knowledge
Competitive salary and benefits package

Senior Analytics Engineer

Reporting to our Director of Data and Analytics, we are looking for a Sr. Analyt...

Location

Ireland , Dublin

Salary:

Not provided

Tines

Expiration Date

Until further notice

Requirements

5-7 years experience in data engineering with significant architectural experience
Proven track record building data architecture in B2B SaaS, particularly with Salesforce/CRM data
Deep expertise with modern data stack (Snowflake, DBT, AWS and BI tools - we use Omni)
Strong background in data modeling and system design
Experience implementing B2B SaaS metrics and GTM reporting
Demonstrated ability to translate business requirements into technical solutions
AWS experience, particularly with data services and S3
Understanding of data governance and security principles
Balance of strategic thinking and hands-on implementation skills
Able to tailor communication (written and oral) appropriately to different audiences, technical/non-technical, of different seniority

Job Responsibility

Design and implement scalable data architecture as Tines grows
Establish and maintain data modeling standards and best practices
Build and manage ETL processes across diverse data sources
Develop core data models in DBT with a focus on efficiency and reusability
Own our Snowflake implementation and Omni data layer
Drive data governance and security best practices
Create clear, maintainable documentation
Ensure reliable, high-performance data systems
Partner with stakeholders to translate business needs into technical solutions, including presenting solutions to leadership

What we offer

Competitive salary
Startup equity & extended exercise window
Matching retirement plans
Home office setup
Private healthcare plans
25 days annual leave
Extra company holidays
Generous parental leave programs
Flexibility in how and where you work
Phone and home Internet allowance

Senior Analytics Engineer, Business Intelligence

As CLEAR continues to scale, we’re deepening our investment in the data ecosyste...

Location

United States , New York

Salary:

165000.00 - 200000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

6+ years of experience working in analytics engineering, BI engineering, or data engineering roles within a modern cloud data warehouse environment
Expert-level SQL: you can structure models for clarity, reuse, and performance at scale
Proven experience working with modern data stack technologies, including Snowflake, dbt, Dagster, and Looker
Deep experience with BI tools including semantic layer design, metric standardization, and the enablement of AI-driven analytics
Strong understanding of dimensional modeling and data warehousing principles
Demonstrated ability to balance technical rigor with business impact designing models that are as intuitive for stakeholders as they are efficient under the hood
Track record of driving BI and self-service, creating environments where data users can confidently explore and analyze on their own
Strong communication and influence skills, able to partner effectively across technical and business domains to align on data strategy and definitions
Proactive ownership and curiosity, always seeking opportunities to simplify, standardize, and scale how data is modeled and delivered

Job Responsibility

Own and evolve the presentation and semantic layers: design, build, and optimize data models that serve as the foundation for Analytics at CLEAR
Partner with data engineering teams to define the transformation logic (via dbt or similar frameworks) that connects raw data to consumable business views, optimize pipelines to improve query performance, and ensure models align with best practices
Own a roadmap for enabling AI-powered analytics driving improved data documentation and a path for exposing our semantic layer to AI models
Improve self-service rates by building intuitive data structures, reusable views, and clear metric definitions that empower teams to answer their own questions
Mentor analysts and analytics engineers, guiding them in data modeling best practices, BI design, and stakeholder engagement

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Senior Analytics Engineer, Corporate Strategy

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

179000.00 - 210000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field
Strong expertise in advanced SQL, Python scripting, and Apache Spark (PySpark, Spark SQL) for data processing and transformation
Proficiency in building, maintaining, and optimizing ETL pipelines, using modern tools like Airflow or similar
Experience in building polished and performant dashboards using tools like Superset, Looker, Tableau
Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
A strong business acumen around business strategy and competitive landscape
Ability to work in a fast-paced, and highly multi-functional environment

Job Responsibility

Partner cross-functionally with product, engineering, and business teams to scope and deliver high-impact analytics initiatives, from metric definitions to fully automated reporting solutions
Design and maintain reliable, scalable pipelines and data models using modern data tools (e.g., Airflow, Spark), ensuring performance and accuracy at scale
Lead end-to-end development of analytics products—from ingestion to visualization—that meet critically important business, product, and regulatory needs
Build internal frameworks and tooling to make high-quality data more accessible and actionable across the organization
Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood’s performance relative to peers
Advocate for customers by helping establish best practices in how we measure, interpret, and act on customer feedback

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime