- Analyze existing Alteryx workflows, SQL logic and flat-file reporting processes.
- Develop Oracle SQL and PL/SQL code, including stored procedures that consolidate duplicated logic and implement suitable Alteryx and flat-file transformations within Oracle.
- Determine which Alteryx transformations are appropriate to retain and which can be sustainably moved into Oracle/database procedures.
- Convert appropriate flat-file-based processes into structured database tables and processes.
- Validate converted results against existing outputs through record-count checks, reconciliation of totals, and verification of calculations, filters, rounding rules, and historical treatment.
- Reduce redundant ingestion, processing and transformations across existing workflows.
- Support the customer segmentation and/or accounts receivable reporting workstreams.
- Help create historically trackable datasets supporting trending and future analysis.
- Maintain relationships between datasets so customer information can be analyzed holistically.
- Support data consumed by Power BI and other downstream reporting.
- Thoroughly document:
- Source-to-target mappings and data lineage.
- Procedural and transformation logic.
- Calculations, filters, and rounding rules.
- Historical tracking and retention logic.
- Data relationships and source locations.
- Business definitions and interpretation of reporting outputs.
- Help create transparent processes that business stakeholders can understand and trust.
Required Skills:
- Demonstrated hands-on Oracle SQL and PL/SQL development experience, including stored procedures, complex queries, and data transformation logic.
- Alteryx experience, including the ability to understand and review existing workflows.
- Experience working with relational databases and structured datasets.
- Experience transitioning data/processes from flat-file-based workflows into database structures.
- Strong analytical and troubleshooting skills.
- Strong technical documentation skills.
Relevant / Preferred Experience:
- Power BI experience.
- Data transformation / ETL experience.
- Accounts receivable, billing or financial reporting data experience.
- Experience working with historical/trending datasets.
- Experience reviewing complex existing workflows and identifying duplication or opportunities for simplification.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.