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Manager Data Analytics Engineer Jobs in Chippewa Falls, WI

Parker

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 ...

Parker Hannifin Corp.

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 ...

NewYork-Presbyterian

Data Scientist

Cornell, WI

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Engineer high-quality features and train, validate, and iterate on ML models Conduct error analysis ...

NYP - Westchester Division

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Engineer high-quality features and train, validate, and iterate on ML models Conduct error analysis ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Chippewa Falls, WI

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 Aug 12, 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 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 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:
Manager Data Analytics Engineer jobs near you

Analytics Developer, Enterprise Analytics (Data Shared Services)

NYP - Westchester Division

Cornell, WI • On-site

$66K - $89K/yr

Full-time

Posted 8 days ago

Job description

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

Analytics Developer, Enterprise Analytics (Data Shared Services)

About the role

At NewYorkPresbyterian (NYP), the Analytics Developer supports the development and delivery of enterprise analytics solutions that enable data-driven decision-making across the organization. This role develops dashboards, datasets, and analytics-ready data models while adhering to established standards for data quality, governance, and privacy. Working closely with data engineers, data scientists, project managers, and business stakeholders, the Analytics Developer helps deliver reliable and actionable data products.

Key Responsibilities

  • Develop analytics-ready data models in Snowflake using established design patterns and standards.
  • Create and maintain Power BI semantic models, datasets, dashboards, and reports.
  • Document data lineage, ownership, and metric definitions in Alation or similar metadata management tools.
  • Support requirements gathering, testing, and validation activities.
  • Collaborate with data engineers, analytics developers, data scientists, and project managers.
  • Implement dashboard enhancements and deliver well-defined analytics solutions with a focus on quality, accuracy, and documentation.
  • Leverage AI-assisted tools and modern development environments to improve analytics delivery and productivity.
  • Identify, investigate, and escalate data quality issues.
  • Assist in building and maintaining data ingestion and ELT pipelines using Fivetran.

Required Qualifications

Education

  • Bachelor's degree in a quantitative field such as Computer Science, Data Science, Public Health, Statistics, Economics, Epidemiology, Biostatistics, Biomedical Informatics, Health Policy, or a related discipline, or equivalent experience.

Experience

  • 1+ years of experience in data analytics, business intelligence, or data engineering, preferably in healthcare, payer, or life sciences organizations.
  • Experience with SQL and dimensional data modeling.
  • Experience developing Power BI solutions, including DAX, Power Query (M), semantic models, Row-Level Security (RLS), and performance optimization.

Certification

  • Epic Cogito Certification upon hire or within six (6) months of employment.

Preferred qualifications

  • Experience with Epic Clarity or other clinical, operational, or financial healthcare data systems.
  • Familiarity with HL7 FHIR, ICD-10, CPT, and LOINC.
  • Knowledge of HIPAA requirements and PHI/PII data handling.
  • Experience with Snowflake, Azure, AWS, Git, and Azure DevOps.
  • Experience with Alation or other data governance and metadata management platforms.
  • Experience with Python or R for analytics and automation.
  • Familiarity with statistical methods and experimental design.
  • Experience using AI-powered tools to accelerate analysis, optimize analytical logic, and enhance stakeholder communications.

Knowledge, Skills, and Abilities

  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and commitment to data quality.
  • Strong written and verbal communication skills.
  • Ability to manage multiple priorities and work collaboratively across teams.
  • Strong documentation and organizational 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:

$66,300-$89,000/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.

Apply