Data Analyst

3 days ago

Ahmedabad, Gujarat, India Interactive Manpower Solutions Full time ₹ 2,50,000 - ₹ 7,50,000 per year

Dear Candidate,

We are hiring Data Analyst.

Job Summary

We are looking for a detail-oriented and experienced Data Analyst with strong expertise in Power BI, SQL, SSRS, and ETL processes. You will play a key role in turning complex data into actionable insights by developing reports and dashboards that support strategic business decisions. The ideal candidate will have strong analytical skills, be proficient in data visualization, and capable of effectively communicating data insights to both technical and non-technical stakeholders.

Key Responsibilities

  • Write and optimize Complex SQL queries to extract, manipulate, and analyse large datasets from various sources.
  • Develop, maintain, and optimize Complex Power BI dashboards and reports to visualize key performance indicators (KPIs) and business trends.
  • Design, develop, and maintain SSRS reports to meet business reporting needs.
  • Ensure data accuracy, integrity, and consistency across all reports and dashboards.
  • Automate recurring reports and streamline reporting processes to improve operational efficiency.
  • Monitor data quality and troubleshoot issues related to data extraction and reporting.
  • Present complex data insights and communicate clearly and meaningfully to non-technical stakeholders.

Qualifications

  • Bachelors degree in Data Science, Computer Science, Information Systems, Statistics, or related field.
  • Minimum 3+ years of experience as a Data Analyst or similar analytical role.
  • Proficiency in Power BI for dashboard and visualization development.
  • Strong command of SQL for querying and data manipulation.
  • Hands-on experience with SSRS for report design, development, and deployment.
  • Solid understanding of relational databases and data warehousing concepts.
  • Strong experience with ETL processes and tools.
  • Knowledge of DAX and Power Query for data modelling and transformation.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication skills with the ability to simplify complex data concepts for non-technical audiences

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