Senior Data Manager
Role details
Job location
Tech stack
Job description
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., As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.
WAH Internet Statement To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Requirements
- 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, * Bachelor's degree
- Minimum 7 years of technical experience in data analysis using ETL tools and developing ETL solutions using SSIS, ADF, and/or DataBricks
- Experience working in a SQL environment with comprehensive knowledge of SSMS and SSIS
- Extensive experience developing stored procedures and dynamic SQL
- Strong working knowledge of Cloud Technologies (For example Azure Synapse Analytics, Snowflake and/or related cloud technology) and Power Platforms (Power BI, Power Automate, & Power Apps)
- Experience taking complex data and making it more accessible, understandable and usable for leaders to derive insights
- Experiencing leading projects through entire life cycle, from design, coding, code review and deployment
- Proficient in root cause analysis
- Demonstrated ability to problem solve and provide solutions for business or data issues
- Good presentation skills to conduct demonstration meetings with clients to show progress on projects
- Experience working with deadlines and skills in addressing customer satisfaction, * Master's degree in Statistics, Mathematics, Computer Science, Engineering and/or related field
- Healthcare or managed care experience
- Experience implementing scalable and maintainable Dimensional Data Models to meet business objectives, including construction of Azure Data Factory and automation of data architectures implemented
- Experience providing architecture guidance on Data Warehouse, Data Lake and Modern BI architecture concepts and technologies using Azure Synapse Analytics and/or Databricks
Benefits & conditions
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$97,900 - $133,500 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
