Location
Cleveland, OH | United States
Job description
A Senior Business Statistician works under limited supervision and possesses and applies comprehensive knowledge to assemble data, perform statistical analysis, draw conclusions and issue recommendations to support critical business decisions. Helps to improve and automate processes supporting business areas, with steps ranging from data processing & manipulation to reporting, graphical data analysis and interactive dashboards.
ESSENTIAL FUNCTIONS - Develops, conducts and recommends appropriate statistical methodologies to analyze and interpret key business data and point out significant differences.
- Interacts with Senior Management and product/service managers in assigned line of business to understand their challenges and recommends solutions.
- Evaluates progress and results and recommends major changes in procedures.
- Develops presentations to facilitate the communication of statistical findings to Senior Management and external clients.
- Participates in the planning of data collection and the evaluation of reliability of source information while maintaining data integrity.
- Interacts with other departments and/or outside vendors to resolve issues.
- Assists in troubleshooting and performance tuning of various processes including SQL queries, SAS, R and Python scripts, report views, procedures.
- Helps to design, build and automate interactive reports and charts using dashboarding environments such as Cognos, Shiny for R, Power BI, Tableau.
- Automates recurring jobs and reports by setting up and scheduling processes to run in non-interactive mode, and keeps track of potential issues and errors.
- Ensures the accurate and timely communication of the status of assignment, job responsibilities, and the resolution of problems to the appropriate parties.
- Acts as a project manager on modeling projects, determining resource requirements, estimating expenses, tracking progress and reporting on status based on project milestones.
- Recognizes consistent errors/efficiencies and makes recommendations to managers for resolution to change.
ADDITIONAL COMMENTS
- Performs special projects and additional duties and responsibilities as required.
- Where applicable and when performing the responsibilities of the job, employees are accountable to maintain Sarbanes-Oxley compliance and adhere to internal control policies and procedures.
QUALIFICATIONS
Education and experience
- Bachelor’s degree in Statistics, Economics, Business Administration, Operations Research, or related quantitative discipline.
- Minimum five years of experience working in a data-intensive analytic environment preferably in the financial services industry.
- May substitute one / two years of experience for Masters / Doctoral Degree.
Knowledge, skills and abilities
- Comprehensive knowledge of, and the ability to apply statistical and econometric principles, practices and techniques.
- Strong general and statistical analysis skills.
- Solid understanding of multivariate statistical analysis techniques and major algorithms for explanatory and predictive modeling
- Good programming, automation and troubleshooting skills using tools such as SAS, SQL, R, Python, shell scripting.
- Experience with large datasets and database management systems such as Oracle, SQL Server.
- Proficiency with Exploratory Data Analysis, from data collection, manipulation & troubleshooting to reporting & graphics. Ability to quickly explore large data sets and focus on the more important issues.
- Ability to work with interactive dashboarding environments such as Cognos, Shiny for R, Power BI, Tableau.
- Excellent presentation skills.
- Strong time project/ time skills.
- Ability to solve more complex problems, make decisions and apply good business judgment.
- Ability to work independently and as a team player.
- Strong verbal and written communication skills.
- Self-starter with positive initiative.
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