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Equifax - Data Quality Analyst - Python / SQL

Equifax - Data Quality Analyst - Python / SQL

EquifaxPune
3 days ago
Job description

What Youll Do :

  • Data Quality : Work with the data steward and the data modernization team to continuously ensure that the highest possible levels of data quality is ensured.
  • Quality Monitoring : Develop, support and monitor automated threshold based dashboards and reports that efficiently and reliably identify areas for further investigation and improvement.
  • Work with the data steward to support the resolution of the findings in a timely manner.
  • Data Quality Investigations : Analyze and evaluate data quality issues, clarifying issues and recommending corrective action.
  • Continuous improvement : work with an evergreen roadmap of initiatives, data management, product and IT to identify, define, and implement data quality processes and requirements.
  • Analyze data and provide data quality assurance for support teams.
  • Maintain documentation and share knowledge base.
  • Assist in development and implementation of new processes, procedures and tools to analyze data and insights.

What will you need?

  • Bachelors or advanced degree in a quantitative discipline such as Computer Science, Engineering, Economics, Mathematics, Statistics, or Physics (essential) or Business with combination of work experience.
  • 2+ years experience with data and business insights analysis which identify and drive ongoing excellence in data quality practices.
  • 2+ years experience in credit risk, financial services, marketing, fraud, insurance, or equivalent industry.
  • Intermediate to advanced knowledge of data analysis methods and the ability to analyze and resolve complex data related issues (SQL, Google Big Query, Python, Hadoop, etc.
  • Experience with business and / or technical documentation and the assessment of existing processes and systems.
  • Experience with business intelligence tools such as Tableau, Looker.
  • Solid experience in delivering projects with data components (e.g. worked in data governance, warehousing, or analytics environment).
  • Excellent communication skills, verbal and written.
  • Able to work independently with general supervision / oversight to achieve short-term (weekly / monthly) performance expectations.
  • Adaptability and ability to deal with ambiguity.
  • What could set you apart?

  • Experience in designing and building analytics solutions to solve real world business problems.
  • Creativity, drive and the ability to identify efficiencies and opportunities.
  • The ability to collaborate with multiple teams and get teams to work together.
  • Agile project management skills, including experience with Jira.
  • The demonstrated ability to make Data Quality a function that enables business to function more efficiently and with greater results.
  • Expertise in the financial services industry.
  • The ability to manage multiple high-impact projects at the same time.
  • Experience with solving analytical and business problems using generative AI.
  • (ref : hirist.tech)

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