Data Quality Analyst

Purpose Financial; South Carolina; On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Parental leave

Tuition reimbursement

Downtown Greenville office parking

Onsite gym

Free snacks

Job summary

Purpose Financial seeks a Data Quality Analyst to ensure accuracy, consistency, and integrity of data across critical cloud systems. You will conduct quality assessments, audits, and collaborate with BI, data governance, and technology teams to monitor metrics and enforce governance policies.

Responsibilities include building quality scorecards, automating audits with SQL/Python, and partnering with stakeholders to resolve data issues while ensuring data is certified for consumption.

Qualifications

• 2 years’ experience in data quality, data analysis, or data management roles.
• Strong knowledge of data quality principles, methodologies, and tools.
• Experience working within cloud environments, data warehouses, and leveraging programming skills (SQL, Python)

Responsibilities

• Data Quality Monitoring – continuously monitor and assess data quality across cloud systems.
• Develop and maintain data quality scorecards, reports, and dashboards.
• Identify inconsistencies and work with data engineers and business owners to correct issues.
• Define and implement data quality rules, standards and processes to improve data asset quality.
• Work with data management and business teams to resolve data quality issues and certify data for consumption.
• Conduct root cause analysis on recurring data quality problems and recommend corrective actions.
• 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.
• Collaborate with data stakeholders to meet data quality standards and participate in cross-functional improvement projects.
• Interpret data and analyze results using statistical techniques and provide ongoing reports to leadership.

Skills

SQL

Python

Data analysis

Education

Bachelor's degree in information systems or Computer Science

Tools

Atlan

Job description

Brand: Purpose Financial

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 visitPurpose 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.

Education Required

Bachelor’s degree in information systems, Computer Science or other relevant field or sufficient experience in the same or related role or equivalent experience.

Experience Required

• 2 years’ experience in data quality, data analysis, or data management roles.
• Strong knowledge of data quality principles, methodologies, and tools
• Experience working within cloud environments, data warehouses, and leveraging programming skills (i.e., SQL, and Python)
• Strong problem-solving skills and a high attention to detail.
• Ability to work cross-functionally with business, technology and data teams.
• Strong Understanding of RDBMS concepts and extensive hands-on experience w/ Structured Query Language (SQL) for Oracle, Postgres, SQL Server and Snowflake databases
• Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment; Knowledge of finance and accounting processes
• Awareness of data quality lifecycle
• Research skills, problem solving & decision-making Root cause analysis
• Excellent communication skills and proven ability to communicate effectively at senior levels

Knowledge Required

Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.

Physical Requirements

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.

Competencies

Data AnalysisOKR

Travel

None

Attire

Business Casual

Other

Must be eligible to work in the USA and able to pass a background check.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.