Commercial Data Analyst
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
We are looking for a Commercial Data Analyst who will work closely with Sales CRM and Call Center teams to improve commercial performance build transparent reporting and support decision-making with data. The role is ideal for someone who loves structure communicates clearly and can turn messy requirements into actionable insights.
What you will do
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Build dashboards and reporting to evaluate performance of commercial teams (Sales CRM Contact Center).
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Analyze funnels unit economics and retention/upsell/cross-sell processes; find opportunities for growth.
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Translate high-level business questions into structured analytical tasks.
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Develop monitoring and alerting to track deviations in key metrics.
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Work with stakeholders to clarify requirements set priorities and deliver insights fast and accurately.
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Contribute to improving data models and defining analytical requirements for ETL processes.
What we expect
Must-have:
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4 years in analytics (Commercial/Sales/Business/CRM analytics preferred).
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Strong SQL: CTEs window functions query optimization.
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Ability to structure complex logic into clear steps formulas and visualizations.
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Working Python knowledge (for automation / processing / light modeling).
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Experience with BI tools (Tableau / Power BI / Superset).
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Experience running or evaluating A/B tests.
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Passion for systematization and bringing order to data.
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Experience with ETL processes.
Nice-to-have:
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Experience in marketing analytics or B2B analytics.
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Knowledge of Git Airflow DBT.
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Experience in tech/product companies.
Challenges you will face
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Evolving CRM processes need to adapt data models to business changes.
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Incomplete initial requirements need to work closely with stakeholders.
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Balancing speed and accuracy manage expectations and clarify input fast.
What you need to succeed
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Structured and logical thinking.
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Proactivity and ownership.
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Attention to detail and precision.
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Critical thinking and data validation mindset.
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Strong communication skills.
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Flexibility and adaptability.
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Ability to work independently and deliver results end-to-end.
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
