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Manager Data Analytics Engineer Jobs in Maize, KS

Fraud & Analytics Manager

Wichita, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manager of Fraud Analytics REPORTS TO : VP of Credit Risk & Analytics WHO WE ARE: Nuvative is a ... Evaluate multiple data sets to surface patterns of fraud & risk. * Lead in researching, analyzing ...

Data Scientist

Wichita, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analytics JOB TITLE : Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE ... Programming skills in R or Python and experience with related machine learning packages. * Proven ...

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... business intelligence, analytics, and artificial intelligence (AI) initiatives. Key ... Systems Engineering team can safely and consistently manage cloud resources. • Data & AI ...

Manufacturing Automation Engineering Lead

Wichita, KS · On-site

$77K - $99K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support the management of engineering budgets, staffing, and contractor resources. * Foster a ... Data Analytics and Manufacturing KPIs * Machine Safety Standards * Capital Project Management

... Analyst to join our team and play a pivotal role in governing and enhancing product data management ... Collaborate with cross-functional teams (Engineering, Manufacturing, Quality, Supply Chain, IT) to ...

Data Protection * Cyber Design * Incident Response * Security Architecture * Business Partnership ... Networking knowledge and experience in traffic analysis using tools such as Wireshark. * Experience ...

Product Data Management Change Analyst

Wichita, KS · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... Analyst to join our team and play a pivotal role in governing and enhancing product data management ... Collaborate with cross-functional teams (Engineering, Manufacturing, Quality, Supply Chain, IT) to ...

... will analyze shipment and consumption data to forecast demand, manage a dedicated spare parts ... Collaborate with Product Management, Engineering, Customer Support, and Global Logistics teams to ...

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Showing results 41-60

Manager Data Analytics Engineer information

See Maize, KS salary details

$37.9K

$110.4K

$151K

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

As of Aug 18, 2026, the average yearly pay for manager data analytics engineer in Maize, KS is $110,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $117,000.00 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 cities near Maize, KS are hiring for Manager Data Analytics Engineer jobs?

Cities near Maize, KS with the most Manager Data Analytics Engineer job openings:

Fraud & Analytics Manager

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

DEPARTMENT: Analytics

JOB TITLE: Manager of Fraud Analytics

REPORTS TO: VP of Credit Risk & Analytics


WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful employees. To recruit and retain top-notch talent, we consciously work to make and keep Nuvative an employer of choice. We provide our employees with a culture of kindness, fairness, learning and development, contribution, collaboration, diversity, innovation and fun.

JOB PURPOSE: The Fraud Manager is a leadership position within the Analytics Department. This is a hands-on, strategic-thought role with a focus on fraud (detection, prevention, investigation, & analysis) from application to payment collection. The Fraud Manager's key objectives are to minimize the impact of fraud, prevent loss, provide underwriting modeling support, & forecasting in coordination with the analytics/underwriting teams & operations teams. The Fraud Manager will also work closely with other teams throughout the organization to find & reduce incidents of fraud in acquisition sources, applications, & within the current customer base. This position will be responsible for organizing the fraud team, summarizing information, & ensuring fraud-related tasks are handled in a timely manner.

RESPONSIBILITIES

  • Lead a team of fraud specialists in their day-to-day fraud sweep process to monitor applications for suspicious activity, ensuring the fraud team stays on task.
  • Collaborate with the VP of Credit Risk & Analytics to proactively build the Fraud strategy roadmap that includes the assessment & mitigation of fraud on new applications, card/ACH loan funding, account takeover, & payment collections.
  • Proactively analyze fraud patterns, develop fraud prevention strategies, & implement strategies to prevent loss due to fraud. Evaluate multiple data sets to surface patterns of fraud & risk.
  • Lead in researching, analyzing, & automating fraud & risk detection processes.
  • Monitor current risk metrics & create new KPIs to monitor & track fraud prevention efforts, losses, disruptions caused, fraud rates, & overall impact to the company.
  • Continually assess emerging fraud threats & proactively analyze strategies & controls to mitigate fraud risk.
  • Build monitoring & alerting systems to track the impact & continued effectiveness of controls in place.
  • Using data to quantify, prioritize & conduct root cause analysis of risk vectors through detailed analysis & testing. Then report on findings & recommendations.
  • Perform ongoing research into fraud solutions as it applies to the business. Initiate & lead data study efforts related to potential solutions from 3rd party vendors.
  • Collaborate closely with the Data Science team in the development of models & analytics to detect & mitigate fraud risk.
  • Work within the Analytics department & interdepartmental partners to turn insights into effective fraud risk mitigation solutions.
  • Work closely with the Sr. BI Analyst & appropriate resources within the Legal & Compliance department to develop & maintain policies to support compliance & compliance issues related to UW, data, & fraud.
  • Lead business analysis for collections studies, including identifying, validating, & reporting on account payment fraud.
  • Work with key stakeholders in collections to help define key success factors, critical needs, & solutions to ensure success for the collections department.
  • Other duties as assigned.


QUALIFICATIONS

  • A bachelor's degree in a related field, &/or commensurate work experience. Experience with fraud & risk management is strongly preferred.
  • Advanced SQL experience preferred.
  • Working knowledge of financial products, processes, & procedures preferred.
  • Exceptional verbal & written communication skills, effective data storytelling.
  • Strong analytical & problem-solving skills using data to identify gaps, & surface mitigation opportunities.
  • Proficiency leveraging large datasets to drive business decisions.
  • Ability to work effectively both within the department as well as interdepartmentally.
  • Ability to balance strategic priorities with tactical actions.
  • Robust analytical skills & high attention to detail with the ability to interpret data, organize information, & summarize findings.
  • Ability to understand the scope of issues big & small when relaying information.
  • Ability to dive-in to day-to-day workings of multiple processes & understand the full scope of their functions & responsibilities.
  • Demonstrated history of seeing the big picture, driving change, & managing results while executing against multiple competing priorities simultaneously.
  • A self-starter with the ability to independently manage work & drive multiple deliverables concurrently.
  • Intellectual curiosity & desire to identify problems & collaborate with stakeholders to find & execute a solution.

WHY WORK FOR US: At Nuvative, you’ll find an environment where our team is the core of what we do! Where excellent work is rewarded, and experience is valued. Nuvative offers competitive wages to qualified individuals and the opportunity to grow professionally and personally through diverse work experiences and hands on training. At the heart of our employee culture are the values that we not only preach, but also practice every day:

  • Initiative: Handling opportunities with confidence and enthusiasm.
  • Persistence: Moving forward in the face of adversity.
  • Teamwork: Uniting the combined effort of our organization.
  • Respect: Considering the feelings of others in your action.
  • Integrity: Maintaining honesty and strong principles.
  • Innovation: Inspiring progress with results and ingenuity.

WHAT WE CAN OFFER YOU:

  • Medical, Dental and Vision insurance.
  • Flexible Spending Account (Medical & Dependant care options available)
  • 401(k)- with match after 6 months of employment
  • Voluntary Life Insurance and AD&D
  • Paid Parental leave (after 1 year)
  • Paid time off
  • Holidays


  • This position is not offering relocation assistance.
  • This position is not offering sponsorship.

The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.