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Manager Data Analytics Engineer Jobs in Chippewa Falls, WI

Data Engineer

Seymour, WI · On-site

$116K - $140K/yr

Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers. * Participate in data architecture and pipeline design discussions. * Maintain technical documentation for data ...

Manufacturing Engineer I

Chetek, WI · On-site

$72K - $92K/yr

Project management and process development of new Assembly Cell design or changes. * Statistical ... Ability to research and analyze data effectively and draw valid conclusions. * Strong verbal and ...

Manufacturing Engineer I

Chetek, WI

$72K - $92K/yr

Project management and process development of new Assembly Cell design or changes. * Statistical ... Ability to research and analyze data effectively and draw valid conclusions. * Strong verbal and ...

Manufacturing Engineer I

Chetek, WI · On-site

$72K - $92K/yr

Project management and process development of new Assembly Cell design or changes. * Statistical ... Ability to research and analyze data effectively and draw valid conclusions. * Strong verbal and ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Chippewa Falls, WI salary details

$43.2K

$125.9K

$172.2K

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

As of Sep 3, 2026, the average yearly pay for manager data analytics engineer in Chippewa Falls, WI is $125,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $133,400.00 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 Chippewa Falls, WI look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Chippewa Falls, WI are:

What cities near Chippewa Falls, WI are hiring for Manager Data Analytics Engineer jobs?

Cities near Chippewa Falls, WI with the most Manager Data Analytics Engineer job openings:

Population Health Data Analyst

NewYork-Presbyterian

Cornell, WI • On-site

$70K - $92K/yr

Full-time

Posted 6 days ago


Key responsibilities

  • Assist in transforming clinical and operational processes by providing analytic insight on areas of improvement

  • Analyze clinical and business flows, integrate data systems, and deliver accurate, actionable information to stakeholders

  • Execute assigned projects and deliverables related to data analysis, reporting, and database management tasks


NewYork-Presbyterian rating

8.5

Company rating: 8.5 out of 10

Based on 206 frontline employees who took The Breakroom Quiz

12th of 898 rated healthcare providers


Job description

LocationNew York, New YorkShift:Day (United States of America)Description:

Population Health Data Analyst

AtNewYork-Presbyterian, DataAnalystsareessential to our continued advancement. With each achievement, we demonstrate a commitment to excellence that's both unwavering and unsurpassed. Now, you can help Make It Possible.

Healthcare reform and new paradigms in systems management have led to a substantial increase in the volume and variety of data at NYP over the last several years. The Analyst is responsible for assisting the transformation of clinical and operational processes by providing analytic insight on areas of improvement. This includes analyzing clinical and business flows to define opportunities for change, integrating multiple data systems across various departments and providing accurate, actionable information to key stakeholders.

In thisrole as an Analyst,you will execute assigned projects and deliverables to support analytic activities and improvement opportunities aimed at optimizing operational efficiency and highest quality patient care. You will coordinate and participate in the planning, definition, design, and implementation of all reports and applications in collaboration with appropriate stakeholders. You will manipulate, analyze, interpret and summarize data through presentations in order to facilitate decision making for stakeholders and communicate findings of analyses. You will assist in database management tasks such developing ETL's, table creation, garbage collection, writing stored procedures for automated tasks and providing documentation. In addition, you will be responsible for data extracts, statistical analyses, data transformations and presentation of relevant assessments related to quality of care, process metrics and outcomes measurements.

Possibility to work remote is available.

Preferred Criteria:

  • Master's degree
  • Experience with Tableau for data visualization software
  • Familiarity with health care environment
  • Ability to do predictive analytics and database management tasks

Required Criteria:

  • Bachelor's Degree in Statistics, Mathematics, Economics, Public Health, Operations Research, Computer/Systems Engineering or related field
  • 1-3 years of experience in business intelligence reporting, data mining, data analysis, or statistical analysis
  • Experience working with data mining, data discovery and/or modeling tools
  • Experience analyzing and interpreting data; maintaining and managing large datasets, including ability to ensure the integrity of data
  • Strong analytic skills and ability to use a variety of software such as SAS, Python, R, SQL, data visualization software, other related statistical programs, MS Excel, and MS Access
  • Proficiency in Microsoft Word and PowerPoint presentation development
  • Strong data exploration and visualization skills

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

NYP will not reimburse for travel expenses.

__________________

  • 2026 Best Companies in Healthcare, Biotech & Pharma - Glassdoor

  • 2026 Best Place to Work - Glassdoor

  • 2026 America's Best Large Employers - Forbes

  • 2026 America's Best-In-State Employers - Forbes

  • 2026 America's Dream Employers - Forbes

  • 2026 America's Greatest Workplaces for Culture, Belonging & Community - Newsweek

  • 2026 Best Places to Work in IT - Computerworld

  • 2025 Great Place to Work Certified

  • 2025 Best Employers for Women - Forbes

  • 2025 Companies that Care - People

  • 2025 America's Greatest Workplaces for Mental Well-Being - Newsweek

NewYork-Presbyterian Hospital is an equal opportunity employer.

Salary Range:

$70,000-$92,000/Annual

It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.


What NewYork-Presbyterian employees say

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