Data Quality Analyst

Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601   

 

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future.  Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending.  Providing services in over 23 states, Purpose Financial employs over 2,500 team members.

At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.

We offer:

• Competitive Wages
• Health/Life Benefits
• Health Savings Account plus Employer Seed
• 401(k) Savings Plan with Company Match
• Paid Parental Leave
• Company Paid Holidays
• Paid Time Off including Volunteer Time
• Tuition Reimbursement
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

To learn more about Purpose Financial visit Purpose Financial Website.

 

Position Summary

This position reports to the Manager of Data Governance and is responsible for ensuring accuracy, consistency, and integrity of data across critical systems in our cloud environments. This role involves conducting quality assessments, audits, identifying issues, and implementing solutions to improve operational efficiencies for consumption. The Data Quality Analyst will collaborate with business owners, business analysts, BI, & Technology teams to monitor data quality metrics and enforce data governance policies.

Job Responsibility

Data Quality Monitoring

• Continuously monitor and assess the quality of data across various cloud systems.
• Develop and maintain data quality scorecards, reports, and dashboards.
• Identify inconsistencies, anomalies, and inaccuracies, and work with data engineer, data management and business owners to correct any issues.

Data Quality

• Define and implement data quality rules, standards and processes to improve the quality of critical data assets.
• Work with data management and business teams to resolve data quality issue and ensure data is certified for consumption.
• Conduct root cause analysis on recurring data quality problems and recommend corrective actions

Tools and Automation

• Utilize tools (e.g., Atlan) and programming skills (SQL, Python) to automate data audits, cleansing and validation.
• Recommend and implement automation solutions to streamline data quality monitoring and validation.

Collaboration

• Work closely with data stakeholders in the business to ensure data quality standards are met
• Participate in cross-functional data quality improvement projects
• Identification, development, and maintenance of the Enterprise Data Quality Metrics KPI’s and data metrics

Reporting and Metrics

• Interpret data and analyze the results using statistical techniques, providing ongoing reports on the effectiveness of different strategies and observe any trends or issues to raise with leadership.
• Ensuring that the data leveraged in core operational reporting is accurate and complete at all times

Accountability

• Understand, adhere to and enforce all corporate policies.