Senior Data Analyst

BI WORLDWIDE•Edina, MN

1d•$85,000 - $95,000•Hybrid

About The Position

At BI WORLDWIDE, we are committed to creating belongingness, where D&I is a priority. We invite you to join us as we continue to expand our culture of inclusivity, collaboration, and authenticity together. We work a hybrid model (3 days in the office and 2 days work from home); this position is located in our Minneapolis Metro headquarters. Our Technology Solutions Group is seeking interest for a Senior Data Analyst. The role of Senior Data Analyst is to manage the ad-hoc data reporting needs of customers that have this capability sold as a part of their project. The Senior Data Analyst will work closely with the program delivery team to define the reporting needs and design a data mart or data repository that efficiently handles the requirements of the project.

Requirements

Strong analytical skills with multiple analytic techniques/methods.
Experience presenting results to clients, both internal and external.
Process oriented, with strong attention to detail.
Strong research and problem-solving skills.
Strong communicator, both verbally and written.
Ability to multi-task.
Able to work in a fast-paced and demanding environment.
BA/BS in Business, Finance, Statistics, or Technology; highly preferred.
4+ years of experience in data analysis and/or statistical analysis.
Expertise writing complex formulas in Microsoft Excel & Microsoft Power Pivot.
Strong experience with SQL and Tableau tool is required.

Nice To Haves

Experience with statistical analysis a plus.

Responsibilities

Work with BIW's client services, sales force and TSG design and delivery teams in a consultative manner, including presentation of data.
Ongoing communication with BIW's sales force, Client Services, Customer Technology Managers, and technical team on program status, issues and changes.
Define, develop and deliver reports and dashboards through Tableau and other analytic tools (Tableau preferred).
Conducting data analysis using multiple techniques and approaches -- Descriptive, Diagnostic, Predictive and/or Prescriptive analytics.
Provide consultative services during the design phase of reporting.
Complete achievement modeling based on rule structures and raw data or help answer other data-related questions (pre-sale and post-sale).
Create Excel templates to enable others to more efficiently and effectively complete their work.
Evaluate existing processes and aid in implementing improvements that drive efficiency and accuracy.
Calculate program results based on raw data files and program rules.