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
- Exposure to automation frameworks or scripting best practices
- Experience working with onshore/global stakeholders
- Familiarity with BI tools (Power BI, Tableau, etc.)
- Understanding of Agile or project execution methodologies