Data Operations Analyst
Data Operations Analyst
About Stavtar
Stavtar(https://stavtar.com/) is a software and technology services company, headquartered in New York and with offices in Dallas, London, Bengaluru and Mumbai. Stavtar addresses complex challenges in Hedge Funds, Private Equity, and Investment Banking industries. Our flagship product, StavPay, is widely adopted by Alternative Asset Managers managing over $2 trillion in assets
About This Role
Stavtar is looking for an experienced Data Operations Analyst to build out the team and assist with overseeing the data collection and management processes.
If you have a strong background in data management, excellent analytical skills, and a passion for operational excellence, this position presents a great opportunity to have an impact on a midsize company.
Essential Duties and Responsibilities:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Market Data Analysis: review security and market data to identify and resolve data exceptions and recommend improvements to enhance overall market data quality.
- Monitor File Ingestion: Oversee daily ingestion of investment data into portfolio systems and internal databases, ensuring proper loading and troubleshooting issues related to delayed or missing files.
- Ensure Data Integrity: Supervise the internal movement of data across organizations infrastructure to ensure accurate and timely generation of reports, addressing any discrepancies in the data outputs.
- Resolve Data Issues: Investigate and research issues raised through the ticketing system, determine root causes, and collaborate with IT Data Developers to resolve technical problems.
- Document Processes: Create and maintain documentation of daily, monthly, and quarterly operational processes and take ownership of tasks and identify opportunities for operational improvements.
- Improve Operational Process: Analyze current business processes to identify and implement solutions that improve efficiency, scalability, and reliability, creating streamlined workflows.
- Business Analysis: Document data requirements for enhancements and collaborate with IT Data Developers and communicate with business teams across the organization to meet business objectives.
Education:
- Bachelor’s degree required with focus on Operations Management a plus
- 4 to 7 years of industry experience working within the technology and data operations of a financial firm
- Knowledge related to financial operation workflows and best practices.
Qualifications:
To perform this job successfully, an individual must exemplify the following qualifications.
- Excellent Data Management Skills: Strong knowledge of various data sets, including security master data, pricing data, corporate actions, index levels, holdings, transactions, index constituents, performance data, and security analytics.
- Exceptional Analytical Skills: Proficient in SQL to conduct data-driven analysis, review and summarize data, and identify data quality issues to ensure accurate reporting and decision-making.
- Proficient Business Analysis: Skilled in gathering business requirements and creating detailed documentation for developers, ensuring the effective translation of business needs into technical specifications.
- Understanding of Data Operations: Ability to assess current processes and make recommendations for improvements to streamline workflows, enhance operational efficiency, and ensure high-quality data management.
- Strong Communication Skills: Excellent verbal, written, and interpersonal communication skills, with the ability to effectively interact with both technical and non-technical individuals.
- Proactive Problem-Solving Ability: Demonstrated ability to take initiative in solving complex problems, driving outcomes in a self-directed manner with minimal supervision.
Technical Skills:
- SQL Proficiency is essential for conducting data-driven analysis.
- SQL Programming is a plus for investigation and root-cause analysis.
- Microsoft PowerBI experience or equivalent data visualization platforms is a plus.
Competencies:
To perform the job successfully, an individual should demonstrate the following competencies.
- Problem Solving and Critical Thinking
- Teamwork and Communication
- Organizational Skills and Time Management
- Multitasking and Flexibility
- Customer Service
- Initiative and Accountability
- Meticulous and detail-oriented
Location: Mumbai(preferred)/Bangalore
Timings: 2 AM EST to 11 AM EST i.e. (12.30 PM IST to 9.30 PM IST currently)
Work Mode: WFO
- Department
- Product/Services
- Locations
- Mumbai
Mumbai
Data Operations Analyst
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