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
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