Senior Business Intelligence ManagerHumana • Kansas City, MO, United States

Senior Business Intelligence Manager

Humana • Kansas City, MO, United States

Hace 2 días

Tipo de contrato

Temporal

Descripción del trabajo

Description

The Senior Business Intelligence Manager will provide strategic data-driven insights to senior leaders regarding retail product distribution. In this critical role within the MarketPoint Sales Data and Analytics team, you will be responsible for creating datasets, tools, and analyses that guide the sales organization's strategy.

How We Value You

Benefits starting day 1 of employment
Competitive 401k match
Generous Paid Time Off accrual
Tuition Reimbursement
Parent Leave
Go365 perks for well-being

Responsibilities

Support retail leaders by delivering actionable data-driven insights.

Explore, analyze, and present complex datasets to inform business decisions.

Optimize databases and tables for enhanced performance in data processes and BI tools.

Collaborate with business and technology teams to address data and technology needs.

Utilize queries to mine, integrate, summarize, and analyze data from multiple platforms.

Develop interactive online reports for effective communication of insights.

Lead cross-functional initiatives to drive strategic objectives.

Serve as a subject matter expert in sales performance data.

Consult with business teams on processes and technology related to distribution.

Mentorship of peers to promote best practices within the organization.

Required Qualifications

Bachelor's degree

7+ years of experience in data analysis and reporting

Proven experience in creating dashboards, reports, scorecards, and data visualizations

Proficiency in MS Power BI, Tableau, and / or Qlikview

Experience writing advanced SQL queries

Strong expertise in data mining, forecasting, simulation, and / or predictive modeling

Advanced competency with large and complex datasets within sizable organizations

Excellent verbal and written communication to executive leadership

Demonstrated ability to work effectively with cross-functional teams to meet strategic goals

Preferred Qualifications

Advanced Degree in a quantitative discipline

Experience with Python, R, SAS, and other analytical tools

Track record of building and interpreting machine learning models for business insights

Experience crafting analytics solutions for insurance carriers

Project Management / Leadership experience

Familiarity with data engineering and analysis utilizing Azure Cloud Platform

Additional Information

Work at home / remote requirements include a distraction-free workspace and a high-speed DSL or cable modem (Satellite and hotspots are not permitted). A minimum standard speed of 10x1 (10mbs download x 1mbs upload) is necessary for optimal performance.

Our Hiring Process

As part of our hiring process for this opportunity, we may contact you via text message and email to gather more information. If selected to move forward, you may receive an invitation for a pre-recorded Voice, Text Messaging, and / or Video interview. Your recorded interview will be evaluated, and you will be informed about the next steps in the interview process.

Temporary work-at-home requirements are currently in place due to health guidelines. This includes access to a personal computing device with a camera and a dedicated, secure home workspace.

The aforementioned changes are temporary, and we are closely monitoring the situation to return to normal operations as soon as possible.

Scheduled Weekly Hours 40

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Manager Intelligence • Kansas City, MO, United States