ERP Data Validation Analyst-REMOTE-25602

The analyst role will ensure our business has the highest quality customer and contract data during our transition from several different ERP systems into SAP HANA 4. As part of the Customer Intelligence Data Governance and Data Engineering team, this role will be accountable for validating and maintaining the data quality for integration with SAP. 

Position Description (Principle Duties and Responsibilities)

·     Identifying, analyzing, assessing, documenting, and communicating potential quality issues in the way data is collected, stored, processed, or used.

·     Executing data cleansing programmatically where needed.

·     Translating stakeholder requirements to potential data transformation or alignment needs.

·     Creating and executing plans for the maintenance of the data integrity based on findings from root cause analysis.

·     Performing analysis and communicating trends and patterns in the data.

·     Applying fundamental and some advanced concepts, practices and procedures for problem-solving.

·     Working with enterprise-wide business and IT senior management to understand and prioritize data and information requirements.

·     Solving complex technical problems.

·     Optimizing the performance of enterprise business intelligence tools by defining data to filter and index that add value to the user.

·     Creating testing methodology and criteria.

·     Designing and coordinating a curriculum for coaching and training customers in the use of business intelligence tools to enhance business decision-making capability.

·     Developing standards, policies and procedures for the form, structure and attributes of the business intelligence tools and systems.

·     Researching new technology and developing business cases to support enterprise wide business intelligence solutions.

Required Qualifications

·     Bachelor’s Degree in Data Analytics, Business Analytics, Computer Information Systems, or similar technical degree preferred; Master’s Degree or PhD in Computer Science or quantitative discipline preferred.

·     4 years of work experience required.

·     Proficient with Microsoft Office Suite; primarily Excel.

·     Familiar with ETL/ELT, pipeline creation, orchestration, & data store/warehouse/systems architecture.

·     Proficient in least one programming language central to Data Engineering (e.g. SQL/Python/R/Spark).

·     Familiar with DataOps, DevOps, and/or SecOps.