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Online Data Analytics Jobs in Wisconsin (NOW HIRING)

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · 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 ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · 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 ...

Baird

Data & Analytics Engineer

Milwaukee, WI · 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 ...

Varsity Tutors

Data Analysis Tutor

Milwaukee, WI · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Data Analysis Tutor

Madison, WI · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Socket.dev

WI · On-site

$140 - $210/hr

We also offer convenient tools to help businesses manage their online presence and enhance ... We are seeking a Director of Data Analytics and Strategy to own our enterprise analytics ecosystem ...

US Bank

Data Analytics 5 - Operations

Milwaukee, WI · On-site

$84K - $106K/yr

We're seeking a Senior Data Analyst who loves working with data, asking the right questions, and turning ambiguity into clear, actionable solutions. If you're highly technical, curious by nature, and ...

Trade Station Group, Inc.

WI · On-site

$244 - $279/hr

As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate ... Data Science & Advanced Analytics - Own the data science and analytics function, delivering ...

iO The Netherlands

WI · On-site

$70 - $90/hr

Heb je sterke analytische vaardigheden, affiniteit met data en systemen, en zin om deel uit te maken van een dynamisch internationaal team? Dan ben jij de geknipte kandidaat waarmee we ons shared ...

Varsity Tutors

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

... online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Online Data Analytics information

What is online data analytics?

Online data analytics refers to the process of collecting, processing, and analyzing data that is generated through online platforms, such as websites, social media, and digital marketing channels. Professionals in this field use specialized tools and techniques to interpret large datasets, identify trends, and provide actionable insights to help businesses improve their online strategies. The role often involves using software like Google Analytics, Python, and SQL to manage and visualize data. Online data analytics is crucial for optimizing digital campaigns, understanding user behavior, and making data-driven decisions.

What are the key skills and qualifications needed to thrive as an online data analyst?

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics. Critical thinking, attention to detail, and effective communication are essential soft skills for translating data insights into actionable business recommendations. These abilities are vital for driving data-informed decisions and delivering value to organizations in digital environments.

How do online data analysts typically collaborate with other departments to drive business decisions?

Online data analysts often work closely with teams such as marketing, product development, and IT to interpret data trends and translate findings into actionable strategies. Regular cross-functional meetings and project-based collaborations are common, ensuring that analytical insights align with business goals. Effective communication skills are essential, as analysts must present complex data in a clear, concise manner to non-technical stakeholders. This collaborative approach not only enhances decision-making but also provides analysts with a broader understanding of business operations.

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

AspectOnline Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related fields; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentRemote or online platforms, often freelance or contract-basedOffice or corporate settings, sometimes remote
Employer & Industry UsageTech companies, e-commerce, digital marketingFinance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding online analytics roles, freelance opportunitiesTraditional data analysis careers, job requirements

Online Data Analytics focuses on analyzing digital data through online platforms, often in freelance or remote settings. Data Analysts typically work in corporate environments with a broader scope of data types. Both roles require similar skills and educational backgrounds but differ mainly in work environment and industry focus.

Can I become an online data analyst?

Online data analysts analyze data to help organizations make informed decisions and often work remotely. They typically need skills in data analysis tools like Excel, SQL, or Python, and may pursue certifications such as the Microsoft Certified Data Analyst Associate or Google Data Analytics Professional Certificate.

Can I work online as an online data analyst?

Yes, online data analysts can work remotely, often collaborating with teams through cloud-based tools and data analysis software like Excel, SQL, or Python. Many companies offer remote positions that require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

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

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

What cities in Wisconsin are hiring for Online Data Analytics jobs?

Cities in Wisconsin with the most Online Data Analytics job openings:

Online Data Analytics jobs near you
Infographic showing various Online Data Analytics job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data & Analytics Engineer

Milwaukee, WI • On-site

Robert W Baird & Co
See more jobs at Robert W Baird & Coexternal

$112K - $135K/yr

Full-time

Re-posted 16 days ago

Job description

About the Role:
Are you energized by transforming complex financial services data into meaningful insights that influence real business decisions? Do you enjoy blending hands-on technical work with close collaboration across business teams? Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?
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 services data is structured, transformed, and delivered to drive smarter decision-making across the firm. You'll contribute to building scalable, high-quality data solutions while partnering closely with stakeholders to turn evolving business needs into actionable insights.
This is an excellent opportunity for a data professional who thrives in a collaborative, agile environment and enjoys solving complex problems while delivering incremental value. You'll gain exposure to modern data tools and practices, work alongside experienced engineers and architects, and continuously grow your technical and business acumen.
This position 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:
Data Engineering & Data Management:
  • Contribute to the design, build, and maintenance of data pipelines that ingest and transform financial services 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 financial services 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 in data engineering, analytics engineering, business intelligence development, or a related data-focused role
  • Strong SQL skills and familiarity with relational database concepts and best practices
  • Experience performing data analysis, profiling, validation, and troubleshooting to support reliable data solutions
  • Ability to partner effectively with business stakeholders to understand requirements and support analytics needs
  • Strong problem-solving skills, intellectual curiosity, and a desire to continuously grow technical expertise
  • Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and Azure Data Lake
  • Experience writing queries and developing solutions using SQL, T-SQL, Azure Data Studio, or similar tools
  • Familiarity with BI and analytics tools such as Power BI, Alteryx, or comparable platforms
  • Working knowledge of data modeling and governance concepts, including 3NF, dimensional modeling, data mapping, data profiling, and data quality practices
  • Experience working with common data formats such as CSV, JSON, XML, and Parquet
  • Experience working in a regulated or data-sensitive environment is preferred
  • Bachelor's degree in Computer Science, MIS, Business Administration, Finance, or equivalent experience

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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.

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