Manager (Data Analytics)

IBA InfoTech Inc.

Jacksonville, United States of America

1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Jacksonville, United States of America

Microsoft Access

Microsoft Word

Microsoft Excel

Data analysis

Big Data

Data Integrity

Microsoft Office

Microsoft PowerPoint

Power BI

SAS (Software)

SQL Databases

Tableau

Information Technology

Data Analytics

Works closely with entity and/or department stakeholders/colleagues on various projects and/or initiatives.
Document existing business data and determine how to improve existing business processes.
Consults with managers to understand business requirements and identify opportunities to improve reporting and processes.
Provide leadership and functional expertise to subordinate data analysts.
Provide expert data analysis, report writing/reporting and quantified decision analysis support.
Liaise with IT, Analytics and other corporate departments on matters of data integrity, reporting and analysis.
Thought leadership and project management responsibility on the selection and implementation of Nivel's BI tool.

Ability to work independently and as part of a team
Solid communication and interpersonal skills. Must be able to able to draw conclusions from data and effectively communicate recommendations to operators as well as executives.
Excellent problem-solving and analytical skills and impeccable business judgment; assertive, self-starter, always willing to share ideas
Strong organizational skills, close attention to detail and ability to meet deadlines; work effectively with various departments to resolve issues, reach agreements, and collaborate on strategic initiatives
Demonstrated Project Management experience.
4 to 5 years' experience in a data intensive role, preferably in a retail or distribution environment
Two or more years managing data analysts
Experience and comfort with statistical modeling packages (advanced skills in ERP and / or SAS programming preferred), comfort with large datasets
Expertise working in Microsoft Office tools (Excel, Access, Word, and PowerPoint).
Experience analyzing warehouse operations and/or transportation data is not required by highly valued.