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Manager Data Analytics Engineer Jobs in Lawrence, KS

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.

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.

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Bachelor's degree. * 0-10 years of experience in facilities management, building operations, engineering, or data analytics. * Self-driven approach with the ability to manage time effectively and ...

Associate Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Perform exploratory data analysis to understand data patterns, support analytics requests, and help answer business questions about data availability and quality * Learn and apply data engineering ...

... engineers to bring those standards to life. The team consists of 4 Security Architects and an IAM Analyst, reporting to the Sr. Manager, Cyber Security, and is focused on securing enterprise data ...

Data Engineer

Topeka, KS · On-site +1

$107K - $129K/yr

S. retirement market with more than $60 billion in assets under management. We offer opportunities ... Build and maintain Snowflake-native transformations, data marts, and analytics-ready datasets

Data Engineer

Topeka, KS · On-site

$107K - $129K/yr

S. retirement market with more than $60 billion in assets under management. We offer opportunities ... Build and maintain Snowflake-native transformations, data marts, and analytics-ready datasets

Support marketing analytics projects through data preparation, validation, and dashboard development. * Assist with data lake updates and management by loading and refreshing data, maintaining tables ...

Support marketing analytics projects through data preparation, validation, and dashboard development. * Assist with data lake updates and management by loading and refreshing data, maintaining tables ...

Showing results 21-40

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 Aug 18, 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 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 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 Science & Innovation - Wearable Devices

Colgate-Palmolive Company

Topeka, KS • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.
Responsibilities:
  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.
  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.
  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.
  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.
  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.
  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:
  • Master's degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.
  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.
  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:
  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • Domain-specific expertise in developing machine learning models for animal behavior analysis.
  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.
  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.
  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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