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Trinsik (formerly V_labs)

Data Analyst

Trinsik (formerly V_labs)

. Own the analytics layer in client and venture projects across product, commercial, and investment/portfolio analytics .

Posted 10/27/2026full-timeVienna • AustriaMid-LevelSenior💰 €60,000 - €65,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, including SQL, Power BI, and product analytics, while effectively managing client relationships and translating business needs into actionable data tasks. Proficient in building data models, conducting performance analyses, and supporting decision-making processes with clear, defensible insights.

Highest-signal resume keywords
Strong SQL SkillsPower BI ExpertiseProduct Analytics ExperienceStakeholder ManagementBusiness-Fluent German

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData ModelingEvent TrackingFunnel AnalysisCohort AnalysisUnit EconomicsDAXPower QueryGA4ETL/ELT Processes
Soft Skills
Analytical MindsetStructured ApproachClient Presentation SkillsProject OwnershipRequirement Gathering
Tools & Technologies
Power BIMicrosoft AzureDbtSnowflakeAmplitudeMixpanelPostHog
Certifications & Qualifications
Completed IT-Related Education
Industry Keywords
Portfolio AnalyticsPerformance MetricsInvestment DataCAC/LTVContribution Margin

Tech Stack

Tools & technologies
AzureETLPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Own the analytics layer in client and venture projects across product, commercial, and investment/portfolio analytics
  • Set up and run product analytics for digital products and ventures
  • Define event and tracking concepts
  • Build funnel, retention, and cohort analyses
  • Analyze user behavior and explain why users act as they do
  • Build commercial analytics for new services, including unit economics, pricing scenarios, contribution margin, adoption, and revenue development
  • Support management-level decision-making with defensible analysis
  • Develop data models and reporting for portfolio monitoring, performance tracking, and investment decision-making
  • Write and optimize SQL for data models, transformations, and analyses
  • Support data engineers with pipelines and transformation layers
  • Build models, add tests, resolve data quality issues, and extend existing data flows
  • Build and maintain primarily Power BI dashboards and reports for portfolio monitoring, product KPIs, and commercial performance
  • Manage client-side stakeholders from business owners to management
  • Align expectations and define business metrics and KPIs
  • Gather client requirements and translate business questions into scoped, prioritized data tasks with acceptance criteria and data sources
  • Improve data quality, documentation, and governance
  • Own the data workstream, including priorities, scope, timelines, dependencies, and coordination with engineers, PMs, and clients
  • Deliver documented solutions from requirements workshop through implementation
  • Share learnings within Trinsik’s analytics community

Requirements

What you’ll need
  • 3–5 years of experience as a Data Analyst, Product Analyst, Analytics Engineer, or similar role
  • Business-fluent German and excellent English
  • Strong SQL, including joins, CTEs, window functions, and query-performance understanding
  • Strong experience with Power BI, including data modeling, DAX, Power Query, and report creation, or comparable BI tools
  • Solid understanding of star schema/dimensional modeling, relational databases, and ETL/ELT processes
  • Hands-on experience with product analytics and event tracking using GA4, Amplitude, Mixpanel, PostHog, or similar
  • Knowledge of activation, retention, cohort, and funnel metrics
  • Familiarity with unit economics, CAC/LTV, contribution margin, and pricing logic
  • Ability to structure unclear requirements and drive work independently
  • Comfortable presenting results to client stakeholders
  • Analytical mindset with a structured and solution-oriented approach
  • Proven stakeholder management and project ownership experience in client-facing settings
  • Experience gathering requirements and translating business needs into technical requirements and data tasks
  • Completed IT-related education or equivalent qualification
  • Nice to have: familiarity with investment or financial data, including portfolio analytics, performance metrics, and fund reporting
  • Nice to have: experience with Microsoft Azure, Fabric, dbt, Snowflake, or a similar modern data stack
  • Nice to have: Python for data work

Benefits

Comp & perks
  • €60,000–€65,000 gross annually
  • Choice of a public transport subsidy or a tax-free daily lunch allowance
  • Permanent discounts with 600+ top brands via Corporate Benefits
  • Flexible working hours
  • Home office
  • Remote work from anywhere within the EU up to 20 calendar days/year
  • Sabbatical options
  • Creative freedom across different industries, apps, and digital solutions
  • Latest software and openness to testing newer tools
  • International team
  • Flat hierarchies
  • Open and direct feedback culture
  • 25 days of annual leave
  • Permanent employment contract
  • 1-month probation period