Main Responsibility / Job Summary

(Primary deliverables of role and its scope)

· Support the team in preparing regular reports on retail KPIs — sales, category performance, basket size, and customer metrics.

· Run SQL queries to extract, validate, and organise data for reports and business analyses.

· Assist in building and updating dashboards and visualisations in Power BI or Excel.

· Help with cohort and customer segmentation reports to support campaign and retention planning.

· Assist in data quality checks and flag discrepancies in retail data sources.

· Support cross-functional teams with ad hoc data pulls and basic analytical requests.

· Learn retail analytics frameworks — promo analytics, pricing analysis, merchandising KPIs — under senior guidance.

· Contribute to insight decks and presentations for business stakeholders.

Skills & Knowledge Requirements (Abilities/knowledge & Expertise in field)

Knowledge (Technical/Functional)

· Basic understanding of retail or business concepts — sales metrics, pricing, customer retention, and product availability.

· Awareness of analytics tools: SQL, Excel, and at least one BI tool (Power BI or Tableau).

· Curiosity about customer behaviour, segmentation, and loyalty analytics.

· Interest in learning how retail data is structured (POS, CRM, eCommerce platforms).

Skills:





· 1–2 years of experience in a data, analytics, or business analyst role (internship/fresher experience considered).

· Basic to intermediate SQL skills — able to write queries, use filters, and apply joins.

· Good Excel skills — comfortable with pivot tables, basic formulas, and data formatting.

· Some exposure to BI or reporting tools like Power BI, Tableau, or similar.

· Strong attention to detail and a methodical approach to data handling.

· Valuable written and verbal communication skills — able to present simple findings clearly.

· Eagerness to learn and grow in a fast-paced analytics consulting environment.

Good to Have:

· Any exposure to Python or PySpark for data manipulation is a bonus.

· Familiarity with retail, eCommerce, or FMCG domain concepts is helpful.

· Interest in promo analytics, merchandising, or pricing analysis.

· Basic awareness of Azure Databricks or cloud data platforms.

· Familiarity with Jira or any task management tool.

Qualifications

· B.Tech / B.Sc in Statistics, Mathematics, Computer Science or related field

· MBA (Analytics) is an added advantage

Experience

1–2 Years (Fresher with strong internship experience considered)

Pay: ₹800,000.00 - ₹1,600,000.00 per year

Benefits

- Flexible schedule

Work Location: In person

📌 Data Scientist (Bengaluru)
🏢 Radioso Resources
📍 Bengaluru