Data Analyst - R/Python

Description :

Key Responsibilities :

Database & Data Pipeline Management :

- Build, maintain, and optimize data pipelines to integrate data from multiple sources (internal systems, external APIs, flat files, etc.

- Ensure data quality, integrity, and accuracy across databases.

Analytics & Insights :

- Perform exploratory and diagnostic data analysis to identify patterns and trends.

- Support business decision-making with data-driven insights across sales, operations, buying, planning, and finance.

- Automate recurring analytical workflows and reports.

Dashboard & Reporting Development :

- Design and maintain interactive dashboards and reports (using Power BI, Tableau, or equivalent).

- Create role-specific dashboards tailored to Planning, Sales, Buying, Ops, and Finance teams.

- Track KPIs, performance metrics, and operational efficiency indicators.

Cross-Functional Collaboration :

- Work with business teams to understand requirements and translate them into analytical solutions.

- Present insights clearly through visualizations and reports.

- Document data sources, methodologies, and assumptions for stakeholders.

Skills & Qualifications :

Education :

- Bachelors degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or related field.

Technical Skills :

- Strong SQL skills for data extraction and database management.

- Hands-on experience with data pipeline tools (ETL, Airflow, dbt, or similar).

- Proficiency in Excel/Google Sheets for quick analysis.

- Experience with BI/dashboard tools (Power BI, Tableau, Looker, or similar).

- Exposure to Python/R for data analysis and automation (preferred).

- Understanding of relational databases and data warehousing concepts.

- Experience with cloud databases (Snowflake, BigQuery, Redshift, Azure).

Soft Skills :

- Strong analytical and problem-solving mindset.

- Clear communication and ability to explain insights to non-technical stakeholders.

- Detail-oriented with strong organizational skills.

- Collaborative and proactive in a fast-paced environment.

Nice-to-Have :

- Knowledge of version control tools (Git).

- Familiarity with A/B testing or experimentation.

- Prior exposure to financial or operational analytics