Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations.

With a client base spanning 30 countries, Straive is strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects,

supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

The Business Analyst will support our data and analytics work for a market data project,

acting as the bridge between business stakeholders and data engineering teams, including offshore teams. You will gather and shape business requirements, assess and profile data,

validate data accuracy, and help deliver reliable data solutions that guide decision-making.

This role suits someone with 25 years of experience who understands how data is used in the business, learns new technology quickly, and wants to grow into an Engagement

Manager role.

Key Responsibilities

Business Analyst

- Requirements Gathering: Lead discovery sessions with business stakeholders to

document business needs; write clear user stories, acceptance criteria and functional specifications.
- Data Assessment: Profile and assess data sources using Excel and SQL; understand





schemas and table structures; identify data gaps and confirm feasibility before data engineering work begins.
- Business and Tech Liaison: Work with business users and technology teams,

including offshore teams, translating business needs into technical requirements and explaining technical constraints back to the business.
- AI-assisted Solutioning: Use AI tools to analyze data, draft documentation and

explore solution options.
- Data Validation & UAT: Write and execute test cases during User Acceptance Testing

(UAT), verifying data accuracy, integrity and dashboard functionality.
- Sprint Support: Maintain the backlog in Jira, participate in Agile ceremonies (daily

stand-ups, sprint planning) and track task status.
- Documentation & Governance: Maintain transparent documentation in Confluence and

help enforce data standard operating procedures and data quality guidelines.

Qualifications

- Experience: 25 years in business analysis, data analytics or a related role.
- Business Understanding: Understands business requirements and grasps quickly

how data can be used to answer business questions.
- Data Concepts: Able to conceptualize and understand data, including market data,

and how it flows between systems.
- Data Skills: Profiles data in Excel and SQL; understands schemas, table structures

and how data sets relate.
- AI Tools: Uses AI tools in day-to-day analysis and solutioning.
- Communication: Clear written and verbal communication; able to simplify technical

ideas for business stakeholders.
- Curiosity: Eager to learn new things, especially the latest developments in AI and

data technology. Good to Have (Not Required):
- Market data experience, for example Bloomberg, Reuters/LSEG or Morningstar.
- Experience working with offshore teams.
- Exposure to cloud data platforms (for example, Snowflake, Databricks or Azure) and

ETL/ELT concepts.
- Experience with Power BI or Tableau.

Kindly share your C.CTC, E.CTC, Notice period with last working date mentioned, along with the latest resume to [email protected]

📌 Business Analyst (Bengaluru)
🏢 Straive
📍 Bengaluru