Senior Enterprise Data Analyst

This role serves as a foundational driver for the enterprise data ecosystem, ensuring high-performance, management, quality and storage of enterprise data assets. Directly executes high priority initiatives aligning with business objectives through data analysis, data profiling, data mapping and issue resolution. ensuring stability and accuracy of enterprise data platforms. Builds advanced dashboards and visualizations to transform raw data into actionable, business-critical insights for senior leadership. Enforces data governance, ensuring strict adherence to enterprise policies and procedures to safeguard data integrity. Liaison between business units to mature the department’s influence and integrate data-driven decision-making across the enterprise. Maintains the definitive “source of truth” for enterprise data, including technical documentation - comprehensive data dictionaries and source-to-target mappings, essential for organizational continuity. Completes end-to-end validation process, certifying the completeness and accuracy of analytical and reporting data before publishing for business and regulators. Partners with management to design and implement long-term data roadmap, ensuring achievement of planned business objectives. Drives continuous evolution by facilitating feedback with associates to identify and bridge gaps in data management capabilities. Provides vital expertise and guidance to less experienced consultants, ensuring long-term growth and technical proficiency of the data workgroup. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry. May require attendance for quarterly meetings and leadership callouts either in the Phoenix, AZ or Raleigh, NC or Charlotte, NC office. This is a remote role that may be hired in Arizona or North Carolina.

Bachelor’s degree in Computer Science, Analytics, Data Management, or related field plus six (6) years of experience in the job offered or as a Data Management, Data Analytics, or related occupation.

Requires an understanding of data warehousing and transformation methods, lineage documentation, and ETL processes and knowledge of data spreadsheets. Requires advanced proficiency in writing complex SQL queries to perform data analysis on the complex data sets. Requires the ability to write SAS programming language. Requires the ability to create dashboards using the tools Tableau and Power BI for reporting analysis. Requires the ability to create a data quality framework that defines data standards, rules, and ownership. Requires familiarity with Agile software standards to plan, track, and release work to help team visualize work through Scrum boards for team collaboration and goal alignment. Requires the ability to convert complex technical findings into clear, actionable narratives for both technical and non technical stakeholders. Requires experience with Oracle, IBM Netezza, Snowflake, SQL, and DB2. Requires experience with PL/SQL, SSIS, SAS, DBT, and Excel. Requires experience with SAP Business Objects, SSRS, and Mural. May require attendance for quarterly meetings and leadership callouts either in the Phoenix, AZ or Raleigh, NC or Charlotte, NC office. This is a remote role that may be hired in Arizona or North Carolina. Additional Information

The base pay for this position is generally between $164,507 to $209,696 per year. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.