About the role
structured by ORIBusiness Analyst-Data About Alternative Path Alternative Path is a strategic operations consulting firm, founded in 2020, that helps growth-stage and enterprise organizations build high-performing, India-based teams across Technology Ops, Data Ops, Business Intelligence, and Finance. Every engagement is senior-led,…
What you will do
- Understand the depth and breadth of available data to ensure maximum coverage in the product
- Take in business requirements, ask the right questions, and translate them into clear data and analytical tasks
- Extract, clean, and analyze data from multiple internal systems and databases to enhance the dataset
- Build and use AI agents to automate data search, extraction, and validation across internal and external sources
- Treat documentation as core to the role – clearly document data definitions, processes, and reporting logic for consistency and repeatability
What they are looking for
- Computer Science / IT (B.Tech / MCA / B.Sc)
- 1-3 years of experience as an investment data/business analyst with expertise in SQL, advanced Excel and data analysis.
- Claude/Claude code or other AI tools experience along with MCPs and Agentic workflows.
- Working knowledge of prompt-based or AI-assisted data tooling and comfortable adopting new AI tools as they emerge.
- Basic knowledge of Python.
- Strong analytical and problem-solving skills – comfortable working with large and messy datasets
- Excellent communication skills; able to explain data insights to non-technical audiences
- Strong attention to detail, organized, and able to manage multiple requests simultaneously
- Curiosity and a desire to understand not just “what” the data shows, but “why”
- Eager to learn and adapt to ever-changing requirements
Full posting text
Business Analyst-Data
About Alternative Path
Alternative Path is a strategic operations consulting firm, founded in 2020, that helps growth-stage and enterprise organizations build high-performing, India-based teams across Technology Ops, Data Ops, Business Intelligence, and Finance. Every engagement is senior-led, and the firm has delivered 50+ engagements for clients across the US, Europe, and Australia .
About the Role
Join a private markets asset manager to help expand our commercial data product and the data available for investment teams. This dataset supports deal team research and client portfolio strategy decisions. You’ll work closely with the product management team to define the gaps in the dataset, structure a research and maintenance plan, and then source the missing data through various resources available.
Key Responsibilities:
Understand the depth and breadth of available data to ensure maximum coverage in the product
Take in business requirements, ask the right questions, and translate them into clear data and analytical tasks
Extract, clean, and analyze data from multiple internal systems and databases to enhance the dataset
Write and optimize SQL queries to pull and manipulate large datasets
Build and use AI agents to automate data search, extraction, and validation across internal and external sources
Demonstrate strong Excel handling – advanced formulas, pivot tables, and large-dataset management
Build and maintain dashboards and reports for stakeholders across departments
Stay well-versed in a range of data analytical tools and know when to apply each
Support ad hoc data requests and deep-dive analyses under tight timelines
Present findings and recommendations to non-technical stakeholders in a clear, actionable way
Treat documentation as core to the role – clearly document data definitions, processes, and reporting logic for consistency and repeatability
Required Skill and Experience:
Computer Science / IT (B.Tech / MCA / B.Sc)
1-3 years of experience as an investment data/business analyst with expertise in SQL, advanced Excel and data analysis.
Claude/Claude code or other AI tools experience along with MCPs and Agentic workflows.
Working knowledge of prompt-based or AI-assisted data tooling and comfortable adopting new AI tools as they emerge.
Basic knowledge of Python.
Strong analytical and problem-solving skills – comfortable working with large and messy datasets
Excellent communication skills; able to explain data insights to non-technical audiences
Strong attention to detail, organized, and able to manage multiple requests simultaneously
Curiosity and a desire to understand not just “what” the data shows, but “why”
Eager to learn and adapt to ever-changing requirements
Seniority level: Entry level
Employment type: Full-time
Industries: IT Services and IT Consulting