About the role

  • Data Quality Analyst ensuring accuracy and integrity of data across cloud systems at Purpose Financial. Collaborating with business owners and teams to monitor and improve data quality metrics.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Understand, adhere to and enforce all corporate policies.

Requirements

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

Benefits

  • 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

Job title

Data Quality Analyst

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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