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Lead Data Quality Analyst (Python/R, SQL)
8-12 years
Mumbai
1 vacancy
Lead Data Quality Analyst (Python/R, SQL)
Institutional Shareholder Services
posted 5mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
An Associate is expected to assist the team in all the stages of the analytical verification cycle. The candidate will be responsible for designing, planning, executing, and supporting the automated verification as well as software deployment and release management.
This is a techno-functional role that blends the domain of Environment, Social and Corporate Governance (ESG) risk with the data technology and analysis. You will primarily work on technologies such as MS SQL Server and R/Python. The role does not involve statistical or quantitative modeling or developing machine learning models.
Responsibilities:
- Develop prototypes of models, data processes and business logics related to corporate governance and responsible investing products and data platforms
- Develop approach and framework to verify the models, data processes and business logics underlying various analytical products and data solutions
- Data profiling and data quality analysis.
- Backed by data analysis, assess and evaluate model specifications, data flow and processes and business logics for accuracy, completeness, thoroughness and potential dislocations
- Software deployment and release management
- Assess scope of different projects and define timelines, plans, and roadmap
- Collaborate and communicate with modeling, development and product teams working in a global setting to plan and execute verification strategy. Document results and provide solutions
- Promote an environment that fosters commitment to data and product quality, operational excellence, collaboration and knowledge sharing
Qualification :
- B.E./B.Tech. /MCA with a strong programming aptitude.
- Strong in PYTHON/R and SQL.
- Experience level - 8 to 12 years.
- Strong analytical, numeric and problem-solving skills.
- Must have worked on the data analysis projects.
- Ability to multi-task and prioritize tasks as needed.
- Ability to effectively communicate and collaborate with global business and technical teams.
- Self-starter and quick-learner.
- Ability to adapt and work in a fast-paced environment independently with little supervision
- Candidates with experience in finance domain will be preferred.
- This role will NOT involve working on Machine Learning techquies.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
Institutional Shareholder Services Benefits
Submitted by Company
Medical / Dental / Vision Short and Long-term Disability Benefits Paid Time Off (vacation, holiday, bereavement, family leave) Life Insurance Retirement benefits Employee Assistance Program
Submitted by Employees
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