Position Details
Hiring Business Analyst With Data Analysis Apply
Role:Business Analyst with Data Analysis
Location:Providence, NJ (Hybrid)F2F Interview For 2nd Round
Visa-H1b only
We are seeking a highly skilled Business Analyst with strong data analysis and technical expertise in SQL, Python, and Snowflake. The ideal candidate will act as a bridge between business stakeholders and technical teams, ensuring data-driven insights are translated into actionable business strategies.
Key Responsibilities:
Required Skills & Qualifications:
Good to Have:
Key Responsibilities:
- Collaborate with business stakeholders to gather, analyze, and document requirements.
- Translate business needs into data models, analytical reports, and dashboards.
- Perform data analysis using SQL and Python to support decision-making.
- Extract, transform, and analyze data stored in Snowflake for business insights.
- Design and validate business rules, KPIs, and metrics.
- Work closely with data engineers, developers, and BI teams to ensure accurate data delivery.
- Create functional specifications, user stories, and process documentation.
- Support UAT (User Acceptance Testing) and ensure deliverables meet business expectations.
- Present analytical findings and recommendations to stakeholders in a clear and concise manner.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, Business, or related field.
- 4+ years of experience as a Business Analyst in data/analytics projects.
- Strong expertise in SQL (query writing, optimization, joins, aggregations).
- Proficiency in Python for data analysis, scripting, and automation.
- Hands-on experience with Snowflake (data querying, transformations, warehouse concepts).
- Experience working with BI/reporting tools (Power BI, Tableau, or similar) is a plus.
- Strong problem-solving, analytical, and critical thinking skills.
- Excellent communication and stakeholder management abilities.
Good to Have:
- Experience with ETL/ELT tools and data pipelines.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Exposure to Agile/Scrum methodology.
- Knowledge of data governance and data quality frameworks.
