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Manager Data Analytics Engineer Jobs in Lawrence, KS

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Manager, Data Engineering

Kansas City, KS · On-site

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS

$107K - $129K/yr

Data Engineer Location: 5000 Kansas Avenue Kansas City, KS 66106 Department: IT Make us your BEST ... Apply standard methodologies to analyze, design, develop, test, and deploy data management ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during the initial build-out of the data lake and data warehouse.

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during theinitial build-out of the data lake and data warehouse. The ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Lawrence, KS

Manager Data Analytics Engineer information

See Lawrence, KS salary details

$42K

$122.3K

$167.4K

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

As of Jul 27, 2026, the average yearly pay for manager data analytics engineer in Lawrence, KS is $122,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 per year, depending on experience, location, and employer.

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.

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 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.
What job categories do people searching Manager Data Analytics Engineer jobs in Lawrence, KS look for? The top searched job categories for Manager Data Analytics Engineer jobs in Lawrence, KS are:
What cities near Lawrence, KS are hiring for Manager Data Analytics Engineer jobs? Cities near Lawrence, KS with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Clinical Analytics Engineer

Clinical Analytics Engineer

Specialtycare

Kansas City, KS

Other

Posted 18 days ago

SpecialtyCare rating

5.8

Company rating: 5.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Passionate, driven people dedicated to making a difference in healthcare.

SpecialtyCare is the world's leading provider of clinical services to hospitals. We partner with hospitals to drive, sustain, and accelerate high performance. We offer a portfolio of solutions that include neuromonitoring, perfusion, surgical assist, autotransfusion, minimally invasive surgical support, and sterile processing. SpecialtyCare's clinicians focus their efforts to improve operational efficiencies, improve outcomes, and maintain exceptional levels of satisfaction. We compete on results.

THE POSITION

The Clinical Analytics Engineer designs, maintains, and improves analytic pipelines, dashboards, and clinical quality reporting products that support operational and strategic decision-making. This role works across R and Python-based data workflows, develops and maintains Shiny and Qlik applications, and partners closely with clinical quality leaders and other stakeholders to ensure reports are accurate, useful, and responsive to evolving business and regulatory needs. The ideal candidate combines strong technical implementation skills with the ability to translate reporting requirements into reliable, maintainable analytics solutions.

ESSENTIAL JOB FUNCTIONS

  • Design, develop, maintain, and improve analytic pipelines, data transformations, and reporting workflows that support clinical analytics, operational reporting, and quality improvement initiatives.

  • Develop, maintain, and troubleshoot recurring operational, clinical, and quality reports using SQL, R, Python, and related reporting tools.

  • Build, enhance, and support dashboards and interactive analytics applications, including Shiny, Qlik, and similar platforms, for clinical, operational, and administrative stakeholders.

  • Maintain, update, and validate clinical quality reports, including changes to measure definitions, business logic, and stakeholder reporting requirements.

  • Partner with clinical quality leaders and other stakeholders to gather requirements, clarify metric definitions, and translate business needs into scalable, maintainable analytics solutions.

  • Ensure data integrity, quality, and consistency across reports, dashboards, and analytic workflows through validation, discrepancy investigation, troubleshooting, and issue resolution.

  • Perform ad hoc analyses and communicate findings, trends, anomalies, and technical logic in clear, actionable terms for clinical and administrative audiences.

  • Document data sources, transformation logic, and report specifications, and support testing, deployment, maintenance, and operational use of analytics and reporting products.

  • Live the SpecialtyCare Values - Integrity, Teamwork, Care & Improvement.

  • Perform other duties as assigned.

GEOGRAPHIC LOCATION OF WORK

This is a remote role, with occasional in-person meetings. Candidates in the Kansas City, Missouri region are preferred; candidates near Nashville, Tennessee may also be considered.

QUALIFICATIONS

Education:

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Health Informatics, Statistics, Public Health, or a related field; or an equivalent combination of education and relevant experience.

Experience:

  • 3+ years of experience in analytics, business intelligence, reporting, data engineering, or a related technical role.

  • Experience working with SQL and at least one programming language such as R or Python for data analysis, reporting, or workflow automation.

  • Experience developing, maintaining, or supporting dashboards, reports, or other analytics products for business, operational, or clinical stakeholders.

  • Experience working with complex datasets and translating stakeholder needs into clear, accurate, and maintainable reporting outputs.

  • Experience collaborating with cross-functional stakeholders to gather requirements, refine definitions, and support reporting or analytics needs.

SpecialtyCare is an Equal Opportunity and Affirmative Action Employer

Employment at SpecialtyCare is At-Will

SC Corp

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