Senior Data Solutions Analyst: Finance

You will get exposure to new skills, technologies, and challenges every day, and will help break down the silos that currently Manage multiple projects in parallel to implement system enhancements and new enterprise application solutions Collaborate with stakeholders to identify and implement innovative, data-driven solutions that increase process efficiency technical specifications, and validate solutions through testing and user acceptance criteria Analyze existing tools, processes, and data sources to identify and resolve gaps in accuracy, latency, and reliability Mentor junior analysts and contractors, providing technical guidance and code/design review to raise the team's overall capability Lead continuous improvement efforts across business processes, systems, and reporting infrastructure Prepare and present regular status updates on ongoing Create and maintain technical and process Bachelor's degree in business, computer science, or a related technical discipline, or equivalent experience; minimum of 6-9 years of Required: Strong hands-on proficiency in SQL and Python, with experience building and maintaining data pipelines or models cloud data warehouse) and Power BI (or a comparable BI/reporting tool) Preferred: Experience with SAS and Office 365 Solid understanding of finance and accounting concepts, and experience supporting FP&A, planning, or budgeting processes of other analysts or contractors Highly motivated self-starter with strong ownership, curiosity, and a track record of following through on commitments Strong communicator able to translate between technical and business stakeholders ideas through to completion prioritize and manage multiple projects under demanding deadlines Strong situational analysis, troubleshooting, and decision-making abilities Experience with Jira and Confluence, which are heavily Strong written and oral communication skills required Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Masters in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack Design, build, and maintain SQL/Python-based data pipelines, models, and dashboards that support enterprise planning, forecasting, and budgeting solutions Own the technical architecture and design decisions for Perform monthly data load and validation activities for