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Manager Data Analytics Engineer Jobs in Nevada, IA

Data Modeler

Johnston, IA · On-site

$51.25 - $66.50/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Data Modeler

Ankeny, IA · On-site

$51.25 - $66.50/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Data Modeler

Polk City, IA

$50.25 - $65.25/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Data Modeler

Granger, IA

$52 - $67.50/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Reliability Engineer

Nevada, IA · On-site

$80 - $100/hr

Undertake analysis of machine performance data including MTTFFAPW (Mean Time To First Failure After ... Maintain accurate data management and record keeping of maintenance history* Support and grow a ...

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Showing results 21-40

Manager Data Analytics Engineer information

See Nevada, IA salary details

$41.8K

$121.8K

$166.7K

How much do manager data analytics engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data analytics engineer in Nevada, IA is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What job categories do people searching Manager Data Analytics Engineer jobs in Nevada, IA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Nevada, IA are:

What cities near Nevada, IA are hiring for Manager Data Analytics Engineer jobs?

Cities near Nevada, IA with the most Manager Data Analytics Engineer job openings:

Lead Director, Healthcare Medicaid Risk Adjustment Analytics

Hispanic Alliance for Career Enhancement

Nevada, IA • On-site

$100 - $232/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Revenue Integrity Informatics is seeking a Lead Director - Revenue Integrity Informatics (Medicaid) to join our highly dynamic Risk Adjustment analytics team. This senior‑level role will provide strategic and operational leadership for all Medicaid risk adjustment analytics, reporting, and informatics functions to ensure complete, accurate, and compliant revenue capture. This leader oversees the end‑to‑end risk adjustment lifecycle, including data management, suspecting, analytic insights, risk score reconciliation, and performance monitoring. They partner closely with clinical, actuarial, finance, market plans, and compliance stakeholders to support health plan and enterprise initiatives while ensuring alignment with state Medicaid and CMS regulatory requirements. The Lead Director should also demonstrate leadership in innovation and adoption of modern technologies, data platforms, machine learning, process automation, AI, and data science for optimized insights, workflows, reporting, and process controls. This role will lead a team of managers and individual contributors with backgrounds in data science, analytics, statistics, data engineering, and informatics.

1. Strategic Leadership
  • Define and execute Medicaid risk adjustment strategy across markets and plans
  • Lead and deliver high‑impact strategic initiatives that improve revenue accuracy, compliance, and overall performance
  • Align risk adjustment programs with state Medicaid models (e.g., CDPS, CRG, or state‑specific methodologies)
  • Represent risk adjustment Medicaid informatics in executive forums to drive alignment on strategic goals and translate analytics into actionable financial and operational strategies
2. Performance Analytics & Reporting
  • Oversee health plan performance using advanced analytics and use proactive data insights to drive strategies and evidence‑based decision‑making
  • Lead development of scalable data pipelines and reporting frameworks using claims, encounters, pharmacy, and clinical data
  • Lead advanced analytics for risk score development, predictive modeling, forecasting, trend analysis, and opportunity identification
  • Ensure accuracy, integrity and completeness of Medicaid encounter submissions and data
  • Defines data analysis methodologies, subsequently driving predictive and prescriptive analytics projects and communicating insights to key stakeholders.
3. Risk Score Integrity & Reconciliation
  • Establish and oversee processes to ensure accuracy, completeness, and integrity of risk capture
  • Lead reconciliation of plan‑calculated risk scores to state‑reported scores, including variance analysis and root cause identification
  • Monitor and validate encounter data submissions and their downstream impact on state risk scoring and payments
  • Partner with actuarial and finance teams to ensure alignment between risk scores, revenue projections, and state payments
  • Ensure readiness for state audits and external reviews through robust data validation and documentation practices
  • Stay current on evolving Medicaid policies, state methodologies, and reporting requirements
4. Risk Adjustment Operational & Program Insights
  • Direct suspecting logic development, gap identification, and prioritization strategies for operational programs and interventions
  • Measure and evaluate program performance and locate opportunities for expansion, improvement, or savings
  • Establish program KPIs to monitor intervention effectiveness
  • Partner with clinical operations and vendor teams to ensure alignment with state requirements
  • Align data strategies with value‑based initiatives and provider‑level drilldowns for consistent performance management across markets
5. Team Leadership & Talent Development
  • Lead and develop a high‑performing, multidisciplinary team spanning informatics, risk analytics, reporting, and operational program support
  • Define a clear organizational structure, aligning roles across strategy, analytics, and process execution to ensure end‑to‑end accountability
  • Establish governance frameworks for prioritization and execution of risk adjustment initiatives, ensuring alignment with enterprise goals, market needs, and regulatory timelines
  • Drive integration across analytics and operations, ensuring that insights are translated into actionable intervention programs and measurable outcomes
  • Develop talent strategy including coaching and mentorship of advanced analytics, Medicaid risk models, and leadership capabilities
  • Foster a culture of data integrity, accountability, and continuous improvement optimization of workflows and analytic methodologies
  • Ensure scalability and sustainability of operations by standardizing tools, reporting, and processes across markets
  • Leverage automation and data infrastructure improvements to reduce manual effort and increase speed to insight
Required Qualifications
  • 10+ years of experience in healthcare analytics and reporting, risk adjustment including relevant working knowledge with claims
  • 3+ years of leadership experience including people managing, coaching, or mentoring team members
  • Advanced technical skills in SAS, SQL, Python, or cloud‑based analytics platforms (e.g. BigQuery, Snowflake, Databricks, or similar)
  • Expertise in state and regulatory requirements, risk adjustment methodologies, and encounter data processes
  • Strong knowledge of risk models (e.g., CDPS, CRG, HCC) and state reconciliation processes
  • Proven ability to develop and execute strategic initiatives that deliver measurable business outcomes
  • Demonstrated leadership experience managing cross‑functional teams and large‑scale programs
  • Experience with data visualization tools (e.g. Tableau, Power BI, QuickSight, Looker, etc.).
Preferred Qualifications
  • Knowledge of Medicaid Risk Adjustment
  • Working with Medicaid Risk models
  • Master's degree (e.g., Health Informatics, Data Science, Actuarial, Statistics, or MBA) preferred
  • Experience working within a large national health plan or payer organization
Education

Bachelor's degree preferred/specialized training/relevant professional qualification.

Pay Range

The typical pay range for this role is:

$100,000.00 - $231,540.00

This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

We anticipate the application window for this opening will close on: 08/22/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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