Data Analyst 2, Internal Audit - Remote in Twin Cities, MN
REMOTEPosted 30+ days ago
Job summary
Job post source
This job is directly from UnitedHealth Group
Job overview
The Data Analyst 2 role at UnitedHealth Group supports internal audit through data engineering, focusing on digital transformation, risk assessment, and automation to provide data-driven insights.
Responsibilities and impact
The role involves designing and maintaining automated data pipelines, developing data models, ensuring data quality and governance, collaborating with audit and IT teams, and supporting data analytics and reporting for risk surveillance.
Compensation and benefits
The salary ranges from $71,200 to $127,200 annually, with benefits including a comprehensive package, incentive programs, equity stock purchase, and 401k contributions, subject to eligibility.
Experience and skills
Requires 4+ years of SQL and Python/R programming, 2+ years in data modeling, automation, and visualization (Tableau/PowerBI), with preferred experience in scalable solutions, healthcare, data science, cloud computing, and internal audit.
Career development
The position offers development opportunities in data analytics and auditing within a matrixed internal audit department, with clear direction for success and potential career growth.
Work environment and culture
UnitedHealth Group values diversity, equity, and inclusion, promotes a collaborative and supportive environment, and supports remote work with adherence to telecommuting policies.
Company information
UnitedHealth Group is a leading health care and well-being company with two main businesses, UnitedHealthcare and Optum, focused on improving health outcomes globally.
Team overview
The candidate will join a cross-functional internal audit team working collaboratively with risk surveillance, data analytics, IT, and business partners.
Job location and travel
The position is remote for candidates in the Twin Cities, MN area, with quarterly travel to the Eden Prairie office required.
Unique job features
The role uniquely combines data engineering with internal audit functions, emphasizing automation, scalable data solutions, and integration of diverse data sources to enhance risk monitoring.
Company overview
UnitedHealth Group is a diversified health and well-being company that operates through two distinct platforms: UnitedHealthcare, which provides healthcare coverage and benefits services, and Optum, which offers information and technology-enabled health services. They generate revenue primarily through premiums, fees for medical services, and sales of health-related products. Founded in 1977, UnitedHealth Group has grown significantly through strategic acquisitions and innovations, becoming a leader in the healthcare industry with a strong focus on improving health outcomes and reducing costs.
How to land this job
Tailor your resume to highlight your 4+ years of SQL programming and Python/R experience, emphasizing your ability to design and maintain automated data pipelines and scalable data models as described in the job role at UnitedHealth Group.
Showcase your experience with data visualization tools like Tableau or PowerBI and your skills in data quality management, governance, and automation relevant to internal audit risk assessments.
Apply through multiple channels including UnitedHealth Group’s corporate careers page, LinkedIn, and other job boards to maximize your application visibility for the Data Analyst 2 role.
Connect with professionals in UnitedHealth Group’s Internal Audit or Data Analytics teams on LinkedIn; use ice breakers like commenting on recent company initiatives in digital transformation or asking about their experience with automation in audit processes.
Optimize your resume for ATS by incorporating keywords from the job description such as 'ETL/ELT', 'data pipelines', 'risk surveillance analytics', 'automation', 'data governance', and 'Python/SQL programming' to ensure your resume passes initial screenings.
Use Jennie Johnson’s Power Apply feature to automate tailored applications, find multiple application portals, and identify LinkedIn contacts in the relevant division, allowing you to focus your time on networking and interview preparation.
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