Location: Hybrid (not looking to entertain remote candidates). Selected candidate must be able to come into the office at least 2x a week.
Provide database and analytical support for multiple initiatives, projects, and programs. Perform data analyses using appropriate statistical methods and graphical display standards. Retrieve and analyze data and present reports to management for use in supporting operations and business objectives. Provide recommendations for improvement and written documentation that relates to the analysis of the data. Develop in-depth knowledge of customer information systems and provide training and support to users. Provide database and analytical support for multiple initiatives, projects, and programs. Design, implement, and deliver reports, exception reports, measurements, and analyses to support customer-focused, data-driven analysis. Perform data analyses using appropriate statistical methods and graphical display standards. Retrieve and analyze data and present reports to management for use in supporting operations and business objectives. Analyze, summarize and present information and data for discussion and decision making. Provide recommendations for improvement and written documentation that relates to the analysis of the data. Research data anomalies and issues. Work with data source systems and target systems to identify data issues and data gaps. May track status and develop/update data source systems and target systems. Identify and recommend solutions as needed.
EDUCATION: Bachelor’s degree or equivalent combination of
education and experience required.
REQUIRED SKILLS AND ABILITIES
Advanced SQL for querying, joining, aggregating, and transforming large datasets (CTEs, window functions, and performance-aware query design).
Experience with a scripting or analytical language for data analysis, such as Python or R. Experience in notebook-based environments (e.g., Databricks, Jupyter) is a plus.
Strong knowledge of statistical methods for data analysis: descriptive statistics, SPC and control charts, hypothesis tests (t-tests, ANOVA), confidence intervals, etc. Experience with statistical software such as R, Python, JMP, or SAS is helpful.
Ability to translate business questions into analytical approaches, document data logic and assumptions, and clearly communicate findings to technical and non-technical stakeholders.
Solid understanding of good graphical display standards and various graphical techniques
Ability to quickly learn and leverage various software tools and systems
Ability to frame a complex diagnostic question appropriately, develop an analytical strategy, assemble the relevant data and results to clearly communicate a coherent set of conclusions.
Demonstrated project management skills. Can lead own projects and manage or coach other’s projects from concept to successful implementation.
Strong communication skills, both written and verbal.
Ability to present information to all levels of the organization.
Strong interpersonal skills with the ability to facilitate, coach, mentor and resolve conflict Strong leadership skills with experience influencing and motivating people at all levels.
Ability to work with requestors to understand their true needs and to communicate complex analysis results to all levels of the organization.
Results oriented Self Starter, ability to multi-task, prioritize and meet deadlines with limited supervision; strong analytical and problem-solving skills
Detail orientated with ability to follow-through Ability to work in a team environment across multiple functions and divisions
PHYSICAL DEMANDS: Extensive Computer work
WORK ENVIRONMENT: Normal office environment