Data Analyst

Description:

We are looking for a Analytics Professional with 23 years of hands-on experience in data analysis, database management, and dashboard development. The candidate will support business teams across Planning, Sales, Buying, Operations, and Finance by building reliable data pipelines, ensuring data integrity, and generating actionable insights through analytics and reporting.

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.