Senior Data Manager

Profile

Description

ESS Business Intelligence is an Enterprise Shared Services team focused on data, reporting and data science supporting Humana's Service Operations. The team is focused on converting data to actionable insights for our business partners who can utilize to reduce administrative cost and improve the customer's experience.

This position will work within the ESS Business Intelligence team. This team is focused on gathering and documenting data requirements for Data Science, Data Consulting, Data Visualization and Reporting.

Responsibilities

The Senior Data Manager acquires, cleans and develops datasets from internal and external sources to support business analysis and reporting. The individual will acquire, validate, store, protect, and adhere to processes around data to ensure the accessibility, reliability, and timeliness of the data for its users. The candidate will also be responsible for developing and executing data architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.

The ideal candidate will have:


Ability to interact with business and IT departments in understanding user needs
Able to translate the business needs to technical requirements in terms of data needs
Be self-motivated and possess the ability to manage multiple priorities and meet deadlines.
Possess the capacity to maintain confidentiality and work independently.
Identifies opportunities for process improvements
Coordinates with other teams to ensure all aspects of data needs are taken into account.
Coordination and completion of projects on time and within scope
Prepare data for reporting and analysis including visualizations to support business requirements.
Experience in performing in-depth data analysis to derive insights that drives business outcomes and decisions.
Exhibit strong written and verbal communication skills
Be an innovative thinker with an innate curiosity around data
Be self-motivated and possess the ability to manage multiple priorities and meet deadlines
Experience in problem analysis and process documentation


Required Qualifications


Bachelor's degree
5 or more years of technical experience in data analysis using ETL tools and developing ETL packages using SSIS
Extensive experience developing stored procedures and dynamic SQL
Experience taking complex data and making it more accessible, understandable and usable for leaders to derive insights
Worked on a project through its entire life cycle, from design, coding, code review and deployment
Proficient in root cause analysis
Be a liaison between IT and business
Demonstrated ability to problem solve and provide solutions for business or data issues
Be able to work with our clients, listen to their needs and make suggestions on potential solutions
Good presentation skills to conduct demonstration meetings with clients to show progress on projects
Has experience working with deadlines and skills in addressing customer satisfaction
Has a desire and passion to learn new technologies we can use in the future
Must be passionate about contributing to an organization focused on continuously improving consumer experiences


Preferred Qualifications


Master's degree in Statistics, Mathematics, Computer Science, Engineering and/or related field
Healthcare or managed care experience
Experience with migrating data to the cloud.
Experience with Cloud based computing (MS Azure)
Experience with VB.NET or C#
Experience with JAVA (script), Python or R
Experience with data extraction and analysis technologies such as SAS, SPSS, QlikView, Hadoop, SQL or similar tools
Call Center experience a plus.
Genesys platform experience a plus.


Scheduled Weekly Hours

40

Company info

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