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Manager Data Analytics Engineer Jobs in Wisconsin

3B Staffing LLC

Data Engineer

Monona, WI · On-site

$118K - $142K/yr

JOB IS ONSITE A seasoned Data Quality/Data Analytics Engineer Contractor that will perform the ... Establish and manage SLA monitoring frameworks to track external file delivery timeliness ...

TiTANS Consulting

WI · On-site

$69 - $104/hr

Als Data (Analytics) Engineer combineer je technische knowhow met een goed begrip van de business, zodat je actief mee vormgeeft wat we bouwen en waarom. Jobomschrijving In een wereld waar data de ...

Generac

Marketing Analytics Engineer II

Waukesha, WI · On-site

The role blends the rigor of data science with the practicality of engineering and business ... Highly organized, self-motivated, and able to manage multiple priorities. * Strong collaboration ...

Telia Company

WI · On-site

$120 - $160/hr

Communicate clearly with CRM, performance marketing, analytics, data science, and IT stakeholders ... Experience as a Data Engineer, Analytics Engineer, or similar role, with strong SQL skills and ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Wisconsin

Manager Data Analytics Engineer information

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 are the most commonly searched types of Data Analytics Engineer jobs in Wisconsin?

The most popular types of Data Analytics Engineer jobs in Wisconsin are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Wisconsin?

For Manager Data Analytics Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Wisconsin look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Manager Data Analytics Engineer jobs?

Cities in Wisconsin with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Engineer

3B Staffing LLC

Monona, WI • On-site

$118K - $142K/yr

Full-time

Posted 11 days ago

Job description

JOB IS ONSITE

A seasoned Data Quality/Data Analytics Engineer Contractor that will perform the following essential activities, which include, but are not limited to:

Design and implement data quality rules in Informatica Data Quality (IDQ) to validate file formats, schema consistency, completeness, and business logic compliance.

Establish and manage SLA monitoring frameworks to track external file delivery timeliness, frequency, and compliance with contractual or operational expectations.

Create and maintain alerting and exception workflows for missing, late, or malformed file deliveries.

Profile incoming data stored in Azure Blob Storage and loaded into Snowflake for issues such as null values, duplicates, schema drift, or logic violations.

Work with data engineering teams to ensure seamless integration of validation steps into ingestion pipelines.

Collaborate with business and governance stakeholders to define quality thresholds, acceptance criteria, and reporting standards.

Generate documentation, dashboards, and issue logs to track quality metrics and SLA performance.

Contribute to root-cause analysis and implement corrective actions to address quality breaches or SLA violations.

requires the following skills, abilities, and background:

3+ years of advanced experience with Informatica Data Quality (IDQ), including rule creation, data profiling, and monitoring.

Familiarity with financial datasets, including security master and holding datasets, commonly used in investment operations.

Execution-level familiarity with ETL orchestration, data contracts, or third-party file delivery standards.

Proficiency in Snowflake and experience with profiling and managing large datasets.

3+ years of experience working with Azure Blob Storage and Snowflake Snowpipe.

2+ years of experience working with FactSet.

2+ years of experience designing and supporting SLA monitoring and alerting systems

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