Team Leader Business Analytics

Contributes to the overall corporate mission by providing leadership planning coaching and daily direction to frontline positions to meet or exceed customer service expectations to members and employers. Cultivates ideas and facilitates process improvement initiatives which result in achieving unit/division customer goals operational efficiencies costsavings customer satisfaction and retention. Builds and promotes an environment of mutual trust empowerment and teamwork. Fosters and encourages employee development.

Qualifications :

Required:

• For consideration you must meet one of the following educational/technical requirements:
• Masters degree in quantitative discipline such as statistics mathematics finance accounting computer science engineering or economics and 2 year of applicable work experience OR
• Bachelors degree in related field (preferred STEM or quantitative discipline (e.g. Finance Accounting)) and 4 years direct and applicable work experience OR
• 8 years of direct and applicable work experience With specific experience in the following:
• Demonstrated experience in analytical or strategic role including:
• Leadership skills gained through a combination of formal informal or project leadership that demonstrates competencies
• Demonstrated problem solving and consultative analysis experience including proactively engaging with business stakeholders to solve business problems.
• Critical thinking skills including demonstrated experience reviewing and synthesizing business information for the purpose of deriving and delivering relevant insights and recommendations resulting in data enabled decisions
• Effective communication skills both verbal and written with the capability to gather information and synthesize key points to all levels of the organization
• Proactive selfstarter with effective time management skills and the ability to organize and prioritize projects or tasks. Ability to manage timelines and competing priorities. Strong attention to detail

Preferred:

• Advanced degree in a related field including such as Statistics Biochemistry Epidemiology Data Science or other STEM discipline
• Health insurance industry experience
• Fluency with at least one statistical programming software and language (e.g. R SAS Python Java etc.)
• Demonstrated experience with inferential statistical supervised and/or unsupervised modeling regression analysis timeseries optimization and simulation
• Experience with database and data warehousing concepts
• Proficiency with advanced data processing preparation and joins
• Application of advanced analytics (e.g. statistical modeling voice/text analytics machine learning)
• Six Sigma or other lean methodology experience

Additional Information :

a. Proactively consult and communicate the art of the possible with key departments and stakeholders on an ongoing basis to solve complex business problems identify opportunities for optimization initiate process improvement strategies and provide expertise for projects reporting and problemsolving analysis. 

b. Guide/lead/train team on consultative problem solving using the following steps: problem definition disaggregating problem into branches prioritizing most critical branches workplan development analyzing synthesizing and then communicating.

c. Utilize and coach others in the use of problemsolving analysis and data science methods/best practices to enable solutions.

d. Provide leadership and daytoday management of financial and human resources primarily focusing on employee coaching development performance improvement coordination and budgeting for staff and department(s) specific functions/services. Support business objectives and produce results that are effective accurate and timely.

e. Drive collaboration with business stakeholders to define design execute maintain monitor and improve selfservice reporting suites and models to support critical business initiatives.

f. Manage multiple projects simultaneously to support develop and implement corporate strategic plan initiatives meeting aggressive timeframes. Partner with stakeholders to prioritize items within the businesss portfolio of initiatives.

g. Build or oversee construction of statistical models; assess quality and performance and ensure correct implementation documentation and maintenance.

h. Monitor and assess the advancements in analytics and consulting technology and trends on topics such as machine learning process improvement decisionmaking optimization and problem solving. Adopt advancements as appropriate.

i. Drive successful adoption solutions through clear communication and purposeful change management tactics.

j. Engage and collaborate with application delivery and infrastructure operations teams to ensure the successful implementation execution and data integrity of delivered solutions.

k. Develop and implement quality controls and departmental standards to ensure quality standards organizational expectations and regulatory requirements.

l. Other duties as assigned.

An Equal Opportunity Employer

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