
Data Analyst
1 day ago
Key Responsibilities:
Data Collection & Validation
- Gather structured and unstructured data from various sources including ERP, CRM, in-house applications, and external platforms.
- Ensure data accuracy, integrity, and cleanliness before analysis.
- Collaborate with ERP and networking teams for seamless data pipeline integration.
Data Analysis & Reporting
- Analyze large datasets to discover trends, patterns, and correlations relevant to business performance.
- Create reports, visual dashboards, and data summaries using tools like Excel, Power BI, or Tableau.
- Work alongside Report Generators to optimize and automate recurring reports.
Business Intelligence & Decision Support
- Provide analytical support to department heads and project teams.
- Identify key KPIs for functions like operations, sales, procurement, finance, etc.
- Contribute to data models and forecasting efforts in collaboration with software development and testing teams.
Collaboration & Communication
- Liaise with the Application Development team (especially developers and project managers) for database access, query optimization, and solution architecture.
- Act as a bridge between MIS and functional business users, ensuring data solutions align with business goals.
Compliance & Documentation
- Maintain data documentation, SOPs, and protocols in alignment with IT governance policies.
- Ensure adherence to data privacy, audit, and security guidelines.
Key Skills & Competencies:
- Technical Skills: Advanced Excel, SQL, Power BI / Tableau, Python/R (preferred), ERP data familiarity
- Analytical Thinking: Ability to translate complex datasets into business insights
- Detail-Oriented: High attention to data accuracy and formatting
- Communication: Strong written and verbal skills to present insights to non-technical stakeholders
- Teamwork: Works well with developers, report generators, and infra teams
Preferred candidate profile
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