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Data Analyst - R / Python

Data Analyst - R / Python

Spectral ConsultantsBangalore
13 days ago
Job description

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
  • (ref : hirist.tech)

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