Get started on an exciting career at Element!Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business \xe2\x80\x93 delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.What We NeedWe are looking for a Sr. Data Analyst, FP&A to join Element Fleet Management. As the largest pure-play fleet manager in the world, we provide unmatched products and services and solutions to our clients.At Element, employees play a critical role in delivering value to clients and ensuring an exceptional client experience. We are committed to the success of our clients, employees, and investors by fostering a culture where every employee can make a difference!Are you:An independent, self-starter, with high attention to detail to deliver high-quality work?Experienced with data modeling, data architecture, and database design?A Day in the LifeDesign, develop, and maintain data scraping pipelines to extract information from diverse sources such as websites, APIs, databases, and other relevant platforms.Implement effective data collection strategies, considering data volume, frequency, and quality.Implement data cleaning and transformation processes to enhance data quality and usefulness.Build and optimize data pipelines to efficiently process, transform, and load raw data into structured databases.Contribute to the development of the overall data strategy, including data acquisition, storage, integration, and analysis, aligned with Commercial FP&A objectives.Collaborate with cross-functional teams to identify data requirements and pipeline improvements.Collaborate with stakeholders to understand data requirements and communicate insights effectively.Develop and implement statistical techniques and machine learning algorithms for the short/long-range forecasts.Support the development of Power BI dashboards used by FP&A and Operations teams.Document data sources, pipelines, transformations, and processes to ensure knowledge sharing and maintainable data solutions.Requirements+3 years of data engineering, data integration, and data warehousing experience.Prior experience with SAP, OneStream, and/or Alteryx beneficial, but not required.Solid understanding of ETL processes and tools.Strong programming skills in Python, and SQL.Familiarity with platforms like SQL Server, and Snowflake.Demonstrated oral and written communication skills, including experience presenting to senior-level management, creating dynamic presentations, and ability to work cross-functionally.Demonstrated oral and written communication skills, including experience presenting to senior-level management, creating dynamic presentations, and ability to work cross-functionally.What\xe2\x80\x99s in it for You
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