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Remote Data Analytics Fall Internship Jobs in Tennessee

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Remote Data Analytics Fall Internship information

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Fall Intern, and why are they important?

To thrive as a Remote Data Analytics Fall Intern, you need strong analytical abilities, proficiency in statistics, and foundational knowledge of data analysis, typically gained through coursework in data science, mathematics, or related fields. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is common, and basic certification in analytics or programming can be beneficial. Excellent communication, time management, and problem-solving skills help interns stand out, especially in a remote environment. These skills and qualities are crucial for effectively analyzing data, collaborating virtually, and delivering actionable insights to support business decisions.

What is a Remote Data Analytics Fall Internship?

A Remote Data Analytics Fall Internship is a temporary, typically part-time position offered during the fall semester that allows students or recent graduates to work on data analytics projects from a remote location. Interns gain hands-on experience analyzing data, creating reports, and using analytical tools while collaborating with a team virtually. This internship helps individuals build valuable skills in data analysis, communication, and problem-solving, often serving as a pathway to full-time roles in data science or analytics.

What are some common challenges interns face during a remote data analytics internship, and how can they overcome them?

One common challenge is staying connected and communicating effectively with team members when working remotely. Interns may also find it difficult to access data or tools due to security protocols or lack of familiarity with remote platforms. To overcome these challenges, it's important to proactively schedule regular check-ins with your supervisor, ask for clear documentation, and leverage collaborative tools like Slack or Microsoft Teams. Building strong virtual relationships and being diligent about time management can also help ensure a productive and rewarding remote internship experience.

What is the difference between Remote Data Analytics Fall Internship vs Remote Data Analyst?

AspectRemote Data Analytics Fall InternshipRemote Data Analyst
CredentialsTypically pursuing or recent graduate in data-related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship program, often part-time or project-basedFull-time or part-time professional role
Employer UsageInternship programs in tech, finance, healthcare, etc.Established companies, startups, consulting firms
Search IntentLearning, gaining experience, entry-level opportunitiesPerforming data analysis, reporting, decision support

The Remote Data Analytics Fall Internship is an entry-level, temporary position designed for students or recent graduates to gain hands-on experience. In contrast, a Remote Data Analyst is a full-time professional role requiring more experience and responsibilities. Internships focus on learning and skill development, while data analyst roles involve ongoing analysis and decision-making support.

What job categories do people searching Remote Data Analytics Fall Internship jobs in Tennessee look for? The top searched job categories for Remote Data Analytics Fall Internship jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Analytics Fall Internship jobs? Cities in Tennessee with the most Remote Data Analytics Fall Internship job openings:
Manager, Medicare Risk Adjustment Analytics Consulting - REMOTE

Manager, Medicare Risk Adjustment Analytics Consulting - REMOTE

Health Care Service Corporation

Nashville, TN โ€ข On-site, Remote

$112K - $202K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.
Join HCSC and be part of a purpose-driven company that will invest in your professional development.
Job Summary
The Medicare Risk Adjustment Analytics Consulting Manager is a Subject Matter Expert (SME) who will drive revenue integrity and analytics strategy by serving as the primary consultative resource for strategic initiatives. This role leads cross-functional, matrixed teams and works directly with risk adjustment analysts to transform complex financial and risk adjustment data into actionable business intelligence. Additionally, the SME champions advanced data science initiatives by supporting the end-to-end development, refinement, and deployment of predictive models. As a key advisor to the business, the SME consistently delivers strategic, data-driven insights and collaborates with key stakeholders to ensure revenue accuracy and analytic product integrity.
Core responsibilities include consultive leadership, translating complex risk adjustment analyses into high-impact strategic recommendations and presentations. The manager is a strategic advisor, collaborates with key business partners and oversees the design and execution of complex data initiatives.
JOB REQUIREMENTS:
  • Bachelor Degree in Math, Actuarial Science, Business Statistics, Accounting or Finance OR 4 years experience.
  • 5 years experience interfacing with external clients, large employers, brokers, or consultants OR 5 years experience in presenting analytic results to both internal and external audiences.
  • 5 years experience in requiring data analysis and information reporting related to healthcare data.
  • 2 years leadership experience.
  • Negotiation, decision-making, organizational, and analytical skills.
  • Verbal and written communication skills, including presentation skills.
  • PC proficiency to include Access, Excel, Word, and PowerPoint.

PREFERRED JOB REQUIREMENTS:
  • Deep Medicare Risk Adjustment experience (HCC models, risk score calculations, RADV audits).
  • Proven success leading data projects and influencing indirect reports, peers, and cross-functional teams in a complex environment and without formal authority.
  • Advanced understanding of querying, manipulating, and visualizing healthcare data (e.g.' SQL, SAS, Python, Tableau or Power BI).
  • Exceptional presentation skills reporting to C-suite or executive-level stakeholders including the ability to simplify complex data analyses into business insights for non-technical partners.

This is a Remote role.
#LI -PD1
#LI-REMOTE
Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!
Pay Transparency Statement:
At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.
The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.
HCSC Employment Statement:
We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.
Base Pay Range
$112,200.00 - $202,600.00
Exact compensation may vary based on skills, experience, and location.