Senior Data Manager

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., 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.

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 (Azure Data Lake) and/or Cloud based computing (MS Azure)

Proficiency with VB.NET, C# , JAVA (script), Python and/or R

Experience with data extraction and analysis technologies such as SAS, SPSS, QlikView, Hadoop, SQL or similar tools

Call Center and/or IVR experience a plus.

Ability to use data to drive business outcomes and decisions.

Prior demonstrated experience with free-text analysis

Prior demonstrated experience with survey software such as Survey Monkey, Qualtrics, or Perceptyx