EverestDX - Technical Data Analyst

20 hours ago

Hyderabad, Telangana, India EverestDX Inc Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Description
Key Responsibilities :

  • Collaborate with business stakeholders to gather requirements, define KPIs, and translate business needs into data solutions.
  • Design, develop, and optimize complex SQL queries, stored procedures, views, and database schemas to support reporting and analytical needs.
  • Develop and maintain ETL/ELT pipelines for data extraction, transformation, and loading, ensuring high quality and reliable data flow.
  • Implement data warehousing solutions leveraging dimensional modeling, star schemas, and snowflake schemas.
  • Create interactive dashboards and visualizations in BI tools (Tableau, Power BI) to present insights effectively.
  • Ensure accuracy, consistency, and security of data across systems.
  • Automate data processing and reporting workflows using Python (Pandas, NumPy) and SQL scripting.
  • Conduct in-depth data analysis to identify trends, anomalies, and opportunities for optimization.
  • Partner with IT, product, and operations teams to deliver scalable data-driven solutions.
  • Participate in code reviews and maintain collaborative workflows using Git or other version control systems.

Required Skills & Qualifications

  • 5+ years of experience in data analysis, reporting, and business intelligence.
  • Expert-level proficiency in SQL (complex queries, stored procedures, performance tuning, schema design).
  • Strong experience with ETL/ELT processes for data integration and transformation.
  • Solid understanding of data warehousing principles, dimensional modeling, and schema design.
  • Hands-on experience with relational databases (preferably SQL Server).
  • Familiarity with version control systems (Git).
  • Exposure to data visualization tools such as Tableau and Power BI.
  • Strong communication skills with the ability to translate data insights into business recommendations.

Good To Have

  • Python programming experience, especially for data manipulation, automation, and advanced analytics (Pandas, NumPy, Matplotlib).
  • Knowledge of cloud-based data platforms (Azure Data Factory, AWS Redshift, Google BigQuery, Snowflake).
  • Experience with Agile/Scrum methodologies in data or analytics projects.
  • Understanding of data governance, security, and compliance practices.

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