Senior Data Analyst â Growth (wmd)

finanzen.net GmbH; Deutschland; Remote; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading fintech company based in Germany is looking for a Growth Analytics Specialist to lead analytics projects that enhance user growth and engagement. The role encompasses designing A/B tests, developing dashboards, and partnering with various teams to transform insights into impactful outcomes. Strong SQL, Python or R skills along with a degree in a quantitative field are essential. The company offers a flexible work environment with numerous perks.

Leistungen

Flat hierarchies

Dynamic working and flexible working hours

Creative working environment

Free drinks and snacks in the office

Qualifikationen

• 4 years in product or marketing analytics for consumer web/fintech/marketplace products.
• Expert SQL and solid Python or R for ad hoc modelling.
• Demonstrated ownership of an experimentation roadmap.
• Proven delivery of LTV/CAC models retention curves cohort deep dives and monetization analyses.

Aufgaben

• Proactively identify scope and deliver analytics projects.
• Design, implement, and analyze A/B tests and growth experiments.
• Develop and operationalize real-time dashboards for core growth KPIs.
• Partner closely with teams to turn insights into improvements.
• Execute advanced cohort and segmentation analyses.

Kenntnisse

Databases

Data Analytics

Microsoft Access

SQL

Power BI

R

Tableau

Data Management

Data Mining

SAS

Data Analysis Skills

Analytics

Ausbildung

Degree in a quantitative field or equivalent practical experience

Tools

Power BI

Databricks

dbt

Snowplow

Unleash

Posthog

Jobbeschreibung

Own Growth Analytics Initiatives : Proactively identify scope and deliver analytics projects that accelerate user growth engagement and monetization.

Experimentation Leadership : Design implement and analyze A / B tests and growth experiments rapidly iterating based on data and driving projects from hypothesis to measurable impact.

Actionable Product Insights : Deliver actionable recommendations for product features onboarding flows and personalization tracking implementation through to business impact.

Build & Maintain Dashboards : Develop and operationalize real-time dashboards (Power BI or similar) for core growth KPIs ensuring stakeholders always have access to relevant and actionable data.

Drive Execution Across Teams : Partner closely with Product Managers Growth Marketers and Data Product Owners to turn insights into shipped product and campaign improvements.

Lifecycle & Cohort Analysis : Execute advanced cohort and segmentation analyses pinpointing key growth levers and enabling precise targeting of high-value users.

Continuous Improvement : Monitor growth initiatives post-launch quantify impact and iterate rapidly based on datanever satisfied with the status quo.

Champion Data Quality : Work closely with Data Engineering and Analytics Engineering to ensure the accuracy completeness and usability of data assets powering growth analytics.

Qualifications

• 4years in product or marketing analytics for consumer web / fintech / marketplace products.

Expert SQL and solid PythonorR for adhoc modelling.

Demonstrated ownership of an experimentation roadmap.

Handson with modern warehouse stack (Databricks dbt) PowerBI and services like Snowplow Unleash Posthog.

Proven delivery of LTV / CAC models retention curves cohort deepdives and monetization analyses that changed roadmaps.

Storytelling : you translate 10krow queries into a oneslide decision for executives.

Growth mindset : you iterate learn quickly and lift others through feedback and mentoring.

Degree in a quantitative field or equivalent practical experience.

Zustzliche Informationen

• You are part of a highly profitable growing tech company
• Flat hierarchies
• Dynamic working and flexible working hours.
• Creative working environment
• Free drinks and snacks in the office

Remote Work : Yes

Employment Type : Full-time

Key Skills

• Databases
• Data Analytics
• Microsoft Access
• SQL
• Power BI
• R
• Tableau
• Data Management
• Data Mining
• SAS
• Data Analysis Skills
• Analytics