Data Analyst in Maryland Heights at CBIZ

Date Posted: 1/21/2023

Job Snapshot

Job Description

With over 100 offices and nearly 5,000 associates in major metropolitan areas and suburban cities throughout the U.S. CBIZ (NYSE: CBZ) delivers top-level financial and employee business services to organizations of all sizes, as well as individual clients, by providing national-caliber expertise combined with highly personalized service delivered at the local level. CBIZ has been honored to be the recipient of several national recognitions: 2019 America's Best Mid-Size Employers by Forbes, 2019 Best Workplaces in Consulting & Professional Services by Great Place to Work® and FORTUNE, 2019 Workplace Excellence Seal of Approval by the Alliance for Workplace Excellence, and one of the Top 101 highest scoring companies in the country for Best and Brightest Companies to Work For in the Nation by the National Association for Business Resources.

Network Solutions has a Network Support Specialist position available in Maryland Heights, MO. Telephony Network Support Specialists are responsible for providing tiers 2 and 3 telephony and global branch network support for our client offices. The Network Support Specialist works in partnership with other associates, departments, and divisions throughout the firm to seek continuous improvement in streamlining service delivery. 

The Data Analyst I is responsible for providing actionable insights to support business decisions. They work to understand the problem, define the approach, assemble the data, perform the analysis, and generate insights, and present actionable information back to the business

Preferred Experience:

•    Bachelor's Degree required with an emphasis in finance, business, economics, data science, math or analytics preferred

•    1-3 years' experience in relevant field

•    Previous analytical related experience.

•    Experience interacting with database and file storage systems (DB2, IDMS, Oracle, Hadoop, NoSQL), data manipulation languages (SQL, Impala, PL/SQL, Hive, Pig, XML), statistical tools (SAS, SPSS, R or Python), Microsoft Excel (pivot tables, formulas, macros, vba, charts/graphs), and visualization tools (Tableau, PowerBI, or MicroStrategy).

•    Some knowledge of statistical concepts and analytic techniques, including descriptive statistics, forecasting, economic modeling, various regression techniques, exploratory analysis, and variance analysis required.


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