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Executive Predictive Analytics Jobs in Georgia (NOW HIRING)

Utility Associates, Inc.

Be Seen First

Financial Planning and Analysis Manager

Atlanta, GA · On-site

$120K - $150K/yr

Develop AI-assisted forecasting methodologies using historical data, operational drivers, and predictive analytics. * Utilize generative AI to accelerate financial reporting, executive summaries ...

Coreforce

Financial Planning and Analysis Manager

Atlanta, GA · Hybrid

$101K - $133K/yr

Develop AI-assisted forecasting methodologies using historical data, operational drivers, and predictive analytics. * Utilize generative AI to accelerate financial reporting, executive summaries ...

PredictX

Enterprise Account Executive

Atlanta, GA · On-site

... Predictive Analytics. Revolutionize Corporate Travel with AI Are you ready to transform the future of business travel? The Role As an Enterprise Account Executive at PredictX, you'll be at the ...

Wayne Farms LLC

Data & Analytics Lead - IT

Oakwood, GA · On-site

Experience with statistical modeling, predictive analytics, and machine learning to support ... executive order. We are an equal opportunity employer and all qualified applicants will receive ...

PredictX

Enterprise Account Executive

Atlanta, GA · On-site

... Predictive Analytics. Revolutionize Corporate Travel with AI Are you ready to transform the future of business travel? The Role As an Enterprise Account Executive at PredictX, you'll be at the ...

United Airlines

Data Scientist

Atlanta, GA · On-site

Develop statistical models, predictive analytics, and machine learning algorithms using Python and ... executive-level presentations. Preferred Qualifications * Experience with Generative AI, Large ...

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Executive Predictive Analytics information

What are the key skills and qualifications needed to thrive as an Executive in Predictive Analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an Executive Predictive Analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What are Executive Predictive Analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

What does a predictive analyst do?

A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors. They work with large datasets, employ tools like SQL and Python, and interpret results to support decision-making in organizations. Strong analytical skills and knowledge of machine learning are essential for this role.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require advanced skills in data strategy, leadership, and often a background in predictive analytics or data science, with compensation reaching into seven figures in some cases.

What is the difference between Executive Predictive Analytics vs Data Scientist?

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

Is 40 too late for data science?

For an executive predictive analytics role, age is generally not a barrier if you have relevant skills, experience, and knowledge of tools like Python, R, and machine learning algorithms. Many professionals transition into data science or analytics later in their careers, leveraging their domain expertise and analytical skills. Continuous learning and certifications can also enhance your qualifications regardless of age.

Is AI taking over analytics jobs?

Executive Predictive Analytics professionals use AI tools and machine learning algorithms to analyze data and generate insights. While AI automates certain tasks, these roles require expertise in interpreting results, developing models, and making strategic decisions, so AI complements rather than replaces analytics jobs.
What are the most commonly searched types of Predictive Analytics jobs in Georgia? The most popular types of Predictive Analytics jobs in Georgia are:
What cities in Georgia are hiring for Executive Predictive Analytics jobs? Cities in Georgia with the most Executive Predictive Analytics job openings:
Executive Predictive Analytics jobs near you

Senior Healthcare Data Analyst

Imagine Staffing Technology

Atlanta, GA • Remote

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Job Title: Senior Medical Economics Analyst
Location: Remote (Atlanta, GA preferred)
Hire Type: Direct Hire
Pay Range: $150,000 - $160,000 Base Salary + 10% Bonus + Equity Participation
Work Model: Remote Preferred | Atlanta-Based Candidates Preferred
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
Nature & Scope:
Positional Overview
Our client is seeking a highly analytical and business-minded Senior Medical Economics Analyst to support the continued evolution of its healthcare analytics and predictive insights capabilities.
This is a newly created position reporting into senior leadership and will play a critical role in helping the organization transition from retrospective healthcare reporting toward forward-looking predictive analytics and strategic healthcare insights. The successful candidate will leverage healthcare economics expertise, advanced analytics, statistical methodologies, and consultative problem-solving to support executive leadership, client-facing teams, provider organizations, and value-based healthcare initiatives.
The ideal candidate will possess deep experience working with healthcare claims and population health data, demonstrate strong predictive modeling capabilities, and have the ability to transform complex healthcare data into actionable business recommendations.
This role offers the opportunity to directly influence organizational strategy, support executive decision-making, and contribute to innovative healthcare solutions focused on improving patient outcomes while reducing healthcare costs.
Role & Responsibility:
Tasks That Will Lead To Your Success
  • Analyze large-scale healthcare datasets to identify trends, risks, opportunities, and performance drivers
  • Evaluate provider performance, utilization patterns, referral behaviors, quality outcomes, and healthcare costs
  • Conduct healthcare economics analyses including:
    • PMPM (Per Member Per Month) analysis
    • Utilization trend analysis
    • Cost decomposition analysis
    • Medical cost economics evaluations
    • Quality and performance measurement
  • Perform risk-adjusted financial and utilization analyses across Commercial, Medicare Advantage, and Medicaid populations
  • Analyze longitudinal healthcare performance across multiple reporting periods
Predictive Analytics & Statistical Modeling
  • Design, develop, and operationalize predictive analytics solutions
  • Build and maintain statistical models to identify future healthcare risks and opportunities
  • Develop probability-based models supporting:
    • Population health initiatives
    • Patient risk stratification
    • Utilization forecasting
    • Cost prediction
    • Quality outcome measurement
  • Apply methodologies such as:
    • Logistic regression
    • Risk adjustment
    • Difference-in-differences analysis
    • Credibility weighting
    • Benchmarking methodologies
    • Performance normalization techniques
  • Support the organization's transition toward proactive, forward-looking healthcare insights
Data Management & Technical Analysis
  • Write advanced SQL queries to extract, transform, and analyze healthcare data
  • Create episode-level, provider-level, and member-level datasets
  • Leverage healthcare claims, enrollment, provider, and risk-adjustment data sources
  • Utilize SQL, Tableau, Excel, and Python to develop analytical solutions
  • Normalize healthcare data to account for demographic, reimbursement, geographic, and population changes
  • Ensure analytical methodologies produce accurate, meaningful, and actionable results
Strategic Consulting & Business Partnership
  • Partner with executive leadership, client success teams, sales leadership, providers, and customers to address complex business questions
  • Translate analytical findings into clear business recommendations
  • Serve as a consultative resource by identifying additional insights beyond the original request
  • Present findings to technical and non-technical audiences
  • Help stakeholders understand both the "what" and the "why" behind healthcare performance trends
  • Recommend strategic actions based on analytical findings
Value-Based Care & Program Evaluation
  • Support evaluation and optimization of value-based care programs
  • Analyze episode-of-care performance and specialty care utilization
  • Assist with pricing validation and reconciliation methodologies
  • Support network optimization and care management initiatives
  • Evaluate financial and quality outcomes across multiple healthcare populations
  • Develop frameworks supporting value-based pricing and performance measurement
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Healthcare Analytics, Statistics, Mathematics, Economics, Actuarial Science, Data Science, Computer Science, Public Health, or related STEM discipline
  • 5+ years of healthcare analytics, medical economics, population health, healthcare consulting, payer, or health plan experience
  • Advanced SQL expertise with demonstrated experience analyzing large healthcare datasets
  • Strong healthcare economics background including medical cost analysis, utilization analysis, and performance measurement
  • Experience working with:
    • Medical Claims Data
    • Enrollment & Eligibility Data
    • Provider Data
    • Healthcare Performance Data
    • Value-Based Care Programs
  • Experience developing predictive analytics and statistical models
  • Strong analytical storytelling and consultative communication skills
  • Ability to independently manage complex projects and shifting priorities
Preferred Experience
  • Master's Degree in a quantitative discipline
  • Actuarial credentials (ASA, FSA) or actuarial experience
  • Biostatistics experience within healthcare environments
  • Experience supporting payer or health plan organizations
  • Population health analytics experience
  • Value-based care and episode-of-care experience
  • Advanced predictive modeling expertise
  • Python or R programming experience
  • Tableau development experience
  • Experience presenting findings to executive leadership and external stakeholders
Team & Environment
  • Reports directly to senior healthcare analytics leadership
  • Small, highly collaborative analytics team
  • Significant visibility with executive leadership
  • Opportunity to influence organizational strategy
  • Fast-paced environment with changing priorities
  • High level of autonomy and ownership
  • Exposure to leadership teams, provider organizations, customers, sales leadership, and client success stakeholders
Compensation & Benefits
Compensation
  • Base Salary: $150,000 – $160,000
  • Annual Bonus Opportunity (~10%)
  • Stock Option / Equity Participation
Benefits
  • Company-paid Medical, Dental, and Vision Coverage (select plans)
  • Annual HSA Contribution (~$1,740)
  • 401(k) with Company Match
  • Unlimited PTO
  • Company-Paid Life Insurance
  • Company-Paid Short-Term & Long-Term Disability
  • Employee Assistance Program
  • Professional Development Support
Why Join This Opportunity?
This is an opportunity to help shape the future of healthcare analytics within a growing organization focused on healthcare economics, predictive insights, and value-based care initiatives. You'll have direct exposure to executive leadership, meaningful ownership over strategic initiatives, and the ability to drive measurable impact across healthcare cost, quality, and patient outcomes.
Unlike larger organizations where analytics teams are highly specialized, this role offers broad influence, visibility, and the opportunity to build innovative solutions that directly affect business strategy and client success.