Data Ops Analyst
Full Time
Mumbai
Role:
Data Ops Analyst
Experience:
Min 3+ years
Location:
Number of positions:
Role Overview:
Managing and optimizing data connections between internal and external systems.
Key responsibilities:
- Data Collection & Analysis: Gather, clean, and analyse data from multiple sources to identify trends, patterns, and insights that inform business decisions.
- Data Quality Assurance: Ensure that data transmitted across systems is accurate, complete, and consistent. Perform data validation checks and troubleshoot discrepancies in data flows.
- API & Interface Management: Manage and support data integration APIs and other data exchange methods (e.g., file transfer protocols, ETL processes). Ensure that connections are secure, functional, and efficient.
- Troubleshooting & Issue Resolution: Investigate and resolve data connection issues, such as data mismatches, connection failures, or latency problems. Work closely with IT and development teams to identify root causes and implement corrective actions.
- Integration Documentation: Create and maintain detailed documentation of data connections, including integration workflows, mapping specifications, and error logs. Ensure clear and accurate records of all data interfaces.
- Testing & Validation: Conduct testing on new data connections and integrations to ensure they are functioning as expected before going live. Monitor and report on the success of integrations post-deployment.
- Collaboration with Teams: Work closely with internal teams (e.g., IT, Data Engineering, Business Intelligence) and external vendors to ensure that data integrations meet business needs and are aligned with the company’s data architecture.
- Continuous Improvement: Identify opportunities to improve the efficiency and scalability of Operations. Work with teams to implement automation and optimize data integration processes.
- Ad-hoc Analysis: Perform ad-hoc data analysis as requested by key stakeholders.
Preferred Skills:
- Education: Bachelor’s degree in Business, Computer Science, or a related field.
- Experience:
•3+ years of experience in data integration, data analysis, or a similar role, with a strong focus on managing data connections and interfaces.
•Experience of working in wealth management/ alternative asset management industry. - Technical Skills:
• Proficiency in Excel or other spreadsheet software.
• Knowledge of data integration tools and technologies (e.g., ETL tools, API integration, web services).
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Familiarity with database management or SQL is desirable. - Problem-Solving: Strong analytical and critical thinking skills, with the ability to make data-driven decisions and solve complex problems.
- Communication Skills: Ability to communicate technical data and insights clearly and effectively to both technical and non-technical stakeholders.
- Attention to Detail: High level of accuracy and attention to detail in data collection and analysis.
- Time Management: Ability to manage multiple tasks and prioritize deadlines effectively.