Business Analyst – Data Engineering
Aligned Automation Services Pvt Ltd Pune City Subdistrict, Maharashtra, India
Information Technology & Services · 501-1,000 employees
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About the role
The Business Analyst will bridge the gap between business needs and data engineering solutions by gathering requirements and managing stakeholders. They will oversee data profiling, quality assurance, and the development of analytical reports to drive business strategies.
What they look for
Requirements
Candidates must have 8-12 years of experience in data-focused business analysis with strong SQL and data engineering proficiency. Experience with ETL/ELT processes, data modeling, and cloud data platforms is essential for this role.
Full description
About the Job
About Aligned Automation
At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.
Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.
Business Analyst – Data Engineering | 8–12 Years
- 8–12 years of experience as a Business Analyst / Data Analyst / Data-focused BA.
- Strong SQL skills and hands-on experience with large datasets.
- Good understanding of Data Engineering concepts – ETL/ELT, data pipelines, data warehousing, data modelling.
- Experience with databases such as SQL Server, PostgreSQL, Teradata, Snowflake or similar.
- Experience in data profiling, data quality, reconciliation and validation.
- Knowledge of Python/PySpark is an advantage.
- Experience with Power BI/Tableau and analytical reporting.
- Strong requirements gathering, documentation, stakeholder management and communication skills.
- Experience working in Agile/Scrum environments.
Preferred
- Experience with Airflow, cloud data platforms, APIs and data integration.
- Exposure to AI/ML or GenAI data use cases.
Ideal Profile:
40% Business Analysis + 40% Data Engineering/Data Analysis + 20% Stakeholder & Delivery Management
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