Job Openings Commercial Data Analyst

About the job Commercial Data Analyst

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

  • Build dashboards and reporting to evaluate performance of commercial teams (Sales, CRM, Contact Center).

  • Analyze funnels, unit economics, and retention/upsell/cross-sell processes; find opportunities for growth.

  • Translate high-level business questions into structured analytical tasks.

  • Develop monitoring and alerting to track deviations in key metrics.

  • Work with stakeholders to clarify requirements, set priorities and deliver insights fast and accurately.

  • Contribute to improving data models and defining analytical requirements for ETL processes.

What we expect

Must-have:

  • 4+ years in analytics (Commercial/Sales/Business/CRM analytics preferred).

  • Strong SQL: CTEs, window functions, query optimization.

  • Ability to structure complex logic into clear steps, formulas, and visualizations.

  • Working Python knowledge (for automation / processing / light modeling).

  • Experience with BI tools (Tableau / Power BI / Superset).

  • Experience running or evaluating A/B tests.

  • Passion for systematization and bringing order to data.

  • Experience with ETL processes.

Nice-to-have:

  • Experience in marketing analytics or B2B analytics.

  • Knowledge of Git, Airflow, DBT.

  • Experience in tech/product companies.

Challenges you will face

  • Evolving CRM processes need to adapt data models to business changes.

  • Incomplete initial requirements need to work closely with stakeholders.

  • Balancing speed and accuracy manage expectations and clarify input fast.

What you need to succeed

  • Structured and logical thinking.

  • Proactivity and ownership.

  • Attention to detail and precision.

  • Critical thinking and data validation mindset.

  • Strong communication skills.

  • Flexibility and adaptability.

  • Ability to work independently and deliver results end-to-end.


Or refer someone