Data Integrity Manager

Key Responsibilities: • Perform data management tasks, ensuring accuracy, consistency, and integrity of data across various systems and platforms • Conduct routine data quality checks, identify and resolve data discrepancies, anomalies, and out-of-range values • Implement and maintain data governance policies and procedures, collaborating with team members to document data processes and maintain data lineage • Provide support in the creation of data reports, dashboards, and visualizations, ensuring alignment with data visualization best practices • Participate in data audits and assist in the preparation of data-related documentation • Communicate with stakeholders to understand data requirements and provide updates on data quality improvements • Maintain a strong understanding of data security, privacy, and compliance requirements • Leverage Python scripting and SQL querying skills to automate data cleansing and correction processes • Trace and isolate sources of data issues, including cell links, automations, scripts, and other dependencies • Work with the central data analytics team to identify and implement necessary modifications to data pipelines and configurations • Assess when to apply manual intervention versus automation for efficient data correction and enhancement • Perform other ad-hoc data-related tasks as assigned by the team lead or manager BASIC QUALIFICATIONS: • Bachelor's degree or equivalent • 3+ years of experience in a data management or data analytics related role • Proficient in using spreadsheet software (e.g., Microsoft Excel, Smartsheet) and writing advanced functions, automations, and data meshesExperience with relational databases and SQL querying, including the use of window functions and complex joins • 3+ years of experience with data visualization platforms, including creating calculated measures and working with denormalized data (preferred:) PREFERRED QUALIFICATIONS: • Python scripting experience, including libraries such as Pandas (preferred: experience with API calls and the Smartsheet SDK) • Understanding of AWS data services such as AWS Glue, Redshift, or AWS Lambda for data processing and ETL • Ability to independently troubleshoot and logically infer causes of data issues by isolating variables and testing • Experience using IDEs such as DataGrip, VSCode • Knowledge of effective data visualization design principles Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $37 - $72 per hour based on qualifications and experience.