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Hourly Data Analytics Jobs in Wisconsin (NOW HIRING)

Data Analytics - Operations

Milwaukee, WI ยท Hybrid

$84K - $106K/yr

As a Data Analyst , you'll work with powerful tools like SQL, Alteryx, and DOMO to transform complex data into actionable insights that improve operational performance and drive business results. You ...

Data Analytics - Operations

Milwaukee, WI ยท On-site

$84K - $106K/yr

As a Data Analyst , you'll work with powerful tools like SQL, Alteryx, and DOMO to transform complex data into actionable insights that improve operational performance and drive business results. You ...

Data & Analytics Engineer

Milwaukee, WI ยท Hybrid

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Data & Analytics Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Data & Analytics Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

... Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data ... salary/hourly rate range based on your location. Factors used to determine the actual salary ...

... Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data ... salary/hourly rate range based on your location. Factors used to determine the actual salary ...

... Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data ... salary/hourly rate range based on your location. Factors used to determine the actual salary ...

... Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data ... salary/hourly rate range based on your location. Factors used to determine the actual salary ...

Sr. Data Analyst

Waukesha, WI

$86K - $108K/yr

Translate complex business requirements into meaningful analytics and reporting solutions. * Support institutional data governance initiatives, including data quality, integrity, stewardship, and ...

Sr. Data Analyst

Waukesha, WI ยท On-site

$86K - $108K/yr

Translate complex business requirements into meaningful analytics and reporting solutions. * Support institutional data governance initiatives, including data quality, integrity, stewardship, and ...

Data and Analytics Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

Sunrise Systems, Inc. is seeking a Senior Data & Analytics Engineer to join their IT Data & Analytics Team. This role focuses on building and maintaining scalable data solutions, collaborating with ...

Bachelor's degree in Data Analytics, Supply Chain, Computer Science, Business Analytics, or a related field. * 3-5 years of experience in analytics, reporting, data analysis, or enterprise systems.

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Hourly Data Analytics information

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an Hourly Data Analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Wisconsin? The most popular types of Data Analytics jobs in Wisconsin are:

Data & Analytics Engineer - Marketing Analytics

Robert W Baird & Co

Milwaukee, WI โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

About the Role:
Are you curious about how marketing data turns into insights that drive business decisions? Do you enjoy working hands-on with data while partnering closely with business stakeholders? Are you looking to deepen your skills in analytics engineering, data modeling, and modern data platforms?
As we continue to grow our data capabilities at Baird, we are seeking a Data & Analytics Engineer (DAE) with a focus on Marketing Analytics. This role is part of our IT Data & Analytics organization and supports marketing-focused use cases such as campaign performance, customer engagement, and channel analytics. The ideal candidate blends data engineering expertise with business curiosity, strong communication skills, and hands-on experience enabling analytics for Marketing stakeholders.
This position works closely with Marketing, Analytics, Architecture, and Delivery teams, and is hybrid, offering a combination of 2 day/week remote work and 3 days/week in our collaborative downtown Milwaukee workspace. At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a meaningful impact through data.
The Impact You'll Make:
Marketing Analytics & Business Support
  • Partner with Marketing teams and analysts to support analytics needs related to campaigns, customer engagement, and performance reporting
  • Help translate marketing questions into clear data requirements, datasets, and metrics
  • Support analytics use cases such as campaign reporting, segmentation, funnel analysis, and customer insights
  • Build familiarity and trust with Marketing Teams about marketing data sources and how they are used across the organization

Data Engineering & Data Management
  • Contribute to the design, build, and maintenance of data pipelines that ingest and transform marketing data
  • Apply data modeling skills (3NF and dimensional) to support analytics-ready datasets
  • Perform data analysis and profiling to understand source data and support quality outcomes
  • Develop and validate source-to-target mappings and transformation logic
  • Implement and test end-to-end data solutions under the guidance of senior engineers
  • Follow established practices to ensure sensitive data is protected and handled appropriately

Analytics Enablement & Delivery
  • Support data discovery efforts and help prototype datasets that bring together multiple data sources
  • Leverage existing tools to enable reporting and visualization for Marketing users
  • Document datasets and transformations to support usability and adoption
  • Deliver work incrementally while balancing changing priorities

Collaboration, Learning & Growth
  • Collaborate with delivery team members, architects, and business partners
  • Communicate clearly about progress, risks, and dependencies
  • Learn and apply Baird data standards, tools, and best practices
  • Seek feedback and coaching from senior Data & Analytics Engineers
  • Continuously build skills through training, documentation, and hands-on experience

What You'll Bring to Baird:
  • 5-7 years of experience delivering data and analytics solutions in a collaborative environment
  • Experience with data engineering, analytics, or BI development
  • Strong SQL skills and familiarity with relational data concepts
  • Experience performing data analysis, profiling, and validation
  • Ability to work with business partners to understand and support analytics needs
  • Curiosity, strong problem-solving skills, and a desire to grow technically

Technical Experience (Representative, Not Exhaustive)
  • Databases / Platforms: SQL Server, Snowflake, Azure SQL Database, Azure Data Lake
  • Data Integration: SSIS, dbt, Azure Data Factory, or similar tools
  • Query & Development: SQL, T-SQL, Azure Data Studio
  • BI & Analytics Tools: Power BI, Alteryx, or similar
  • Data Modeling & Governance: Basic 3NF and dimensional modeling, data mapping, data profiling, data quality concepts
  • Data Formats: CSV, JSON, XML, Parquet

Highly Preferred (Marketing Analytics)
  • Exposure to and experience with marketing or customer data (campaigns, digital engagement, CRM, or customer interaction data)
  • Interest in marketing measurement concepts such as attribution, segmentation, or funnels
  • Experience working in a regulated or data-sensitive environment

#LI-TA4
Baird is committed to diversity and provides employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, pregnancy, citizenship, national origin, age, disability, military service, veteran status, sexual orientation, gender identity or expression, genetic information, or any other status protected by law.