EverestDX - Technical Data Analyst

1 day ago

Hyderabad, India EverestDX Full time

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.

(ref:hirist.tech)

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