Data Operations Associate/ Business Operations Analyst

Location

The successful candidate shall be placed at Pune Location. It is a Full-time Job, “No” remote work. Data Operations Associate/ Business Operations Analyst willing to work on a 12-month contract/full-time may apply.

Experience

Candidates should have experience between 1-2 years

Role Description

About the Role

We are seeking a highly motivated Data Operations Associate to support day-to-day project execution and data-driven operational activities. The role involves managing reporting deliverables, maintaining documentation and trackers, and supporting automation initiatives using Excel, Python (Pandas), and SQL . The associate will work closely with cross-functional and onshore teams to ensure accurate, timely, and high-quality outputs.

Key Responsibilities

Project Execution & Operations

Lead day-to-day execution of assigned projects and operational tasks
Ensure timely and high-quality delivery of all reporting and data outputs
Proactively track deliverables, dependencies, and timelines
Own and maintain task trackers, status reports, and execution dashboards

Data & Reporting

Extract, transform, and analyze data using SQL
Create and maintain reports using Advanced Excel
Support data validation, reconciliation, and quality checks
Assist with ad-hoc data analysis and reporting requests

Automation & Process Improvement

Support automation of existing manual processes using Python (Pandas)
Identify process inefficiencies and recommend improvements
Develop reusable scripts and templates to improve operational efficiency

Documentation & Communication

Own end-to-end documentation of activities, processes, and workflows
Prepare SOPs, process documents, and execution guidelines
Coordinate with internal stakeholders and onshore teams
Lead and participate in internal and onshore discussions to ensure smooth execution

Required Skills & Experience

Must-Have Skills

1–2 years of experience in data operations, analytics, MIS, or similar roles
Strong proficiency in Advanced Excel (Pivot Tables, Power Query, formulas, data validation)
Working experience with Python (Pandas) for data manipulation and automation
Strong SQL skills (Joins, Subqueries, Aggregations, Functions)
Good understanding of data workflows, reporting, and operational processes
Ability to manage multiple tasks and deliverables simultaneously
Strong attention to detail and data accuracy
Good verbal and written communication skills

Good-to-Have Skills