Experience
3 - 5 yrs
Job Location
Central Remote, Remote
Vacancy
1
Designation
Senior Data Analyst
Job Type
ONSITE
Job Description
Senior Research Data Analyst
Operations
Full Time
Remote
Location: Remote (Work from Home)
Key Responsibilities:
- Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy.
- Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows.
- Assist our AI and RPA models by manually parsing data to help derive insights for automation.
- Interpret and understand client requirements for every project and execute it per the defined rules.
- Perform annotations to help train our ML models.
- Direct and monitor progress and performance of the team.
- Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset.
- Respond to client inquiries related to ongoing projects.
- Research and troubleshoot issues associated with data and/or tools provided.
- Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes.
- Assist in documentation and continual improvements of SOPs for internal workflows.
- Prepare tools and reports that measure and evaluate team accuracy and productivity.
- Assist in planning and allocation of daily work queues.
- Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner.
- Manage ETAs and deliverables by coordinating with different teams working remotely.
- Display excellent change management and risk management skills at an individual level, during the execution of all tasks.
- Conduct process training sessions for new members of a team or project.
Required Qualifications:
- Must at least have a bachelor's degree in any stream.
- 3-5 years of professional experience, including minimum 1-2 years of hands-on experience in the Credit Loans and Bonds domain (Leveraged Loans, High-Yield Bonds, Term Loan B, Covenants, Indentures, Credit Agreements, etc.).
- Strong exposure to reading, interpreting, and validating financial/legal documents such as credit agreements, indentures, offering memorandums, facility agreements, and covenant sections.
- Demonstrated experience in building and QAing high-quality financial datasets, including validation of complex fields, cross-referencing terms, reconciling data points, and ensuring end-to-end data integrity.
- Experience in operations or data-intensive roles, involving: Data audits and quality checks; Process documentation and SOP creation; Root cause analysis and issue resolution
- Experience gathering client or stakeholder requirements and translating them into structured datasets or process workflows.
- Advanced Excel skills (lookups, nested formulas, pivot tables, data cleaning, error tracing).
- Working knowledge of SQL for data extraction, transformations, and QC workflows.
- Hands-on experience with prompt engineering and strategically writing prompts for QA, automations, or data workflows.
- Experience in building automations or assisted QA workflows using AI, RPA, macros, or rule-based systems (preferred).
- Experience in mentoring and training fellow team members in the process.
- Strong attention to detail, especially when reviewing complex financial terms, definitions, and cross-references.
- Ability to work with changing requirements, shifting client priorities, and evolving datasets.