Lead Data Analyst

Softsich

Polska

Hybrid

PLN 100,000 - 140,000

Full time

45 hours ago
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Benefits offered by this job

Remote work option
Office options in Kyiv/Warsaw
Vacation days + medical insurance
Professional development support
Team events and strong culture
No ties with aggressor country

Job summary

Softsich is seeking a Lead Data Analyst to own the full acquisition analytics cycle—from validating data sources to building dashboards and forecasting ROI.

You will collaborate with the Retention team for end-to-end traffic quality assessment, define metrics, and automate data pipelines to support budget allocation decisions across campaigns and channels.

Qualifications

  • 4 years of analytics experience with 1-2 years in marketing analytics.
  • Experience in performance/affiliate marketing in a high-traffic vertical.
  • Strong SQL skills: window functions, CTEs, cohort analysis, large datasets, and understanding query costs.
  • Practical experience with BI tools (Tableau preferred; Power BI / Looker / Metabase also acceptable).
  • Understanding of acquisition unit economics: CPA, CPL, RevShare, Hybrid, ROI/ROAS, LTV, and payback period.
  • Understanding of attribution and tracking: UTM, postbacks, attribution windows, multitouch vs. last-click attribution.
  • Python at an automation level: pandas, API data extraction, reconciliation scripts.
  • Ability to independently trace data back to its source rather than relying on ready-made data marts.

Responsibilities

  • Analyze the performance of acquired traffic and marketing campaigns.
  • Analyze and optimize marketing funnels and identify bottlenecks.
  • Collect, validate, and consolidate data from multiple sources for reporting; own and maintain metric definitions.
  • Develop and maintain dashboards for different stakeholders.
  • Automate data collection and analytical processes, moving manual reporting into automated pipelines.
  • Generate and validate hypotheses to improve traffic ROI and operational efficiency.
  • Identify anomalies and conversion issues on a daily basis.
  • Turn raw data into actionable recommendations for budget allocation and decision-making.

Skills

SQL
Window Functions
CTEs
Cohort Analysis
Large Datasets
Query Costs

Tools

Tableau
Power BI
Looker
Metabase

Job description

We are looking for a Lead Data Analyst to join the team. The role covers the full acquisition analytics cycle — from validating and consolidating data from the DB, affiliate platforms, and advertising sources to building dashboards, forecasting ROI, and providing recommendations on budget allocation. The position also serves as a point of connection with the Retention team for end-to-end traffic quality assessment.

Requirements
  • 4 years of overall analytics experience, including 1-2 years specifically in marketing analytics; experience in performance/affiliate marketing in a high-traffic vertical.
  • Strong SQL skills: window functions, CTEs, cohort analysis, working with large datasets, and understanding query costs.
  • Practical experience with BI tools (Tableau is preferred; Power BI / Looker / Metabase are also acceptable).
  • Understanding of acquisition unit economics: CPA, CPL, RevShare, Hybrid, ROI/ROAS, LTV, and payback period.
  • Understanding of attribution and tracking: UTM, postbacks, attribution windows, multitouch vs. last-click attribution.
  • Python at an automation level: pandas, API data extraction, reconciliation scripts.
  • Ability to independently trace data back to its source rather than relying on ready-made data marts.
Responsibilities
  • Analyze the performance of acquired traffic and marketing campaigns.
  • Analyze and optimize marketing funnels and identify bottlenecks.
  • Collect, validate, and consolidate data from multiple sources for reporting; own and maintain metric definitions.
  • Develop and maintain dashboards for different stakeholders.
  • Automate data collection and analytical processes, moving manual reporting into automated pipelines.
  • Generate and validate hypotheses to improve traffic ROI and operational efficiency.
  • Identify anomalies and conversion issues on a daily basis.
  • Turn raw data into actionable recommendations for budget allocation and decision-making.
Nice to Have
  • Experience with affiliate platforms.
  • Experience with Snowflake, dbt, and Airflow.
  • Experience with LTV/ROI forecasting, cohort models, and survival analysis.
  • Experience identifying fraudulent or low-quality traffic: bonus abuse, incentivized traffic, source spoofing.
  • Experience conducting and correctly interpreting A/B tests.
  • Experience working with retention data and CRM campaigns.
  • Experience in a multi-brand environment across multiple geos and currencies.
What we offer:
  • Flexible schedule and freedom to choose your work format: remote or from our offices in Kyiv or Warsaw.
  • 24 paid vacation days, sick leave, and medical insurance (already available in Ukraine; other locations - in progress).
  • A team where it’s easy to ask questions, learn, contribute, and be yourself.
  • Coverage for professional events, training, and certifications.
  • Team buildings, birthday gifts, and a community that truly cares.
  • Zero business ties with the aggressor country - and we’re proud of that.
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