Data Analyst Job at Crescens in Harrisburg

Title: Data Analyst Location: Harrisburg, PA (occasional onsite) Duration: 6+ Months Type: Contract Local Candidates only! 37.5hrs per week Notes: Equipment pickup on first day will be onsite, with other occasional days as directed by their supervisor. Work schedule will be specified during the interview. Job description: The Data Analyst will collaborate with internal business partners to develop, deliver and maintain analytic applications and solutions in furtherance of the department's enterprise risk management goals. Typical responsibilities include use case development and opportunity sizing, experimentation and feature analysis, strategic roadmap creation, visualization, and partnership with data engineering on data transformations. Engage with internal partners to understand business strategy, questions, goals, and risk. Bring structure to business requests, translate requirements into an analytical project approach, and lead projects through completion. Provide tactical and strategic guidance to peers, specifically as it relates to performance reporting. Leverage data to inform risk management practices, set benchmarks, and risk tolerance thresholds. Acquire and compile structured and unstructured data and verify its quality, accuracy, and reasonableness. Perform analyses of historical data to surface trends and insights using advanced analytical methods. Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. Develop, own, and manage recurring analytic or reporting processes. Proactively expand knowledge of business and analytics and shares with team members. Share and document best practices. Participate in special projects and perform other duties as assigned. Required Skills: Minimum of three years related Data Analyst work experience. Undergraduate degree or equivalent combination of training and experience. The ideal candidate will have: Stakeholder management, Tableau (preferred)/Power BI, SQL, Python and risk management experience.