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From Home Data Analytics Jobs in Wisconsin (NOW HIRING)

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

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 ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

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 ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

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 ...

US Bank

Infrastructure Data Analytics Engineer

Brookfield, WI · On-site

$108K - $130K/yr

Try new things, learn new skills and discover what you excel at-all from Day One. The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing ...

Trade Station Group, Inc.

WI · On-site

$244 - $279/hr

TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem ... from above. This role owns the disciplines that turn data into value: * Data Science & Advanced ...

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 ...

Socket.dev

WI · On-site

$140 - $210/hr

Our vision is to unite the hearts and minds of communities - one person, one home, one business at ... want to hear from you. Responsibilities: * Build and lead BVM's overarching data strategy ...

Bankers' Bank

Data Analyst - WI

Madison, WI · On-site

Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines * Validate assumptions and support decision-making through data Data ...

Bankers' Bank

Data Analyst - WI

Madison, WI

Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines * Validate assumptions and support decision-making through data Data ...

Bankers' Bank

Data Analyst (WI)

Madison, WI · On-site

... Analytics team and business stakeholders to maintain project alignment and deadlinesValidate assumptions and support decision-making through dataData Enablement & Accessibility (30%)Support internal ...

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All JobsData Analytics JobsFrom Home Data Analytics JobsFrom Home Data Analytics Jobs in Wisconsin

From Home Data Analytics information

What is a work from home data analyst?

A work from home data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions—all while working remotely. They use statistical tools and software to analyze large datasets, identify trends, and create reports or visualizations. These analysts often collaborate with teams through digital communication platforms and can work in a variety of industries, such as finance, healthcare, or marketing. The flexibility of remote work allows them to perform their tasks from any location with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a work from home data analyst?

To thrive as a Work-From-Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or data science. Experience with technical tools like SQL, Excel, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and time management skills help remote analysts collaborate effectively and deliver insights independently. These competencies ensure accurate data interpretation, effective remote teamwork, and impactful business decision-making.

How do remote data analytics professionals typically collaborate with team members and stakeholders while working from home?

Remote data analytics professionals often use a combination of video meetings, instant messaging, and collaborative platforms to stay connected with their teams and stakeholders. Regular virtual stand-ups, shared dashboards, and cloud-based project management tools help ensure transparency and real-time updates on projects. Effective communication and proactive sharing of insights are important for building trust and ensuring that data-driven recommendations are clearly understood and implemented by business partners. While remote, you'll need to be comfortable with both asynchronous and synchronous collaboration to keep projects on track.

What is the difference between From Home Data Analytics vs From Home Data Analyst?

AspectFrom Home Data AnalyticsFrom Home Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Data Science, Analytics, or related field; proficiency in analytics tools
Work EnvironmentRemote, often project-based or consulting rolesRemote, typically in corporate or consulting settings
Employer & Industry UsageTech companies, consulting firms, finance, healthcareTech companies, finance, marketing, healthcare
Common Search & ComparisonYesYes

From Home Data Analytics involves analyzing data remotely across various industries, often focusing on strategic insights. From Home Data Analyst typically performs data analysis tasks remotely within specific organizations, focusing on reporting and operational insights. Both roles require similar skills and credentials but differ slightly in scope and industry application.

Can you work from home in data analytics?

Data analytics jobs often offer remote work options, especially for roles involving data analysis, reporting, and visualization that can be performed using tools like Excel, SQL, and Python. Many companies allow data analysts to work from home full-time or part-time, provided they have a reliable internet connection and the necessary software. Remote work arrangements depend on the employer's policies and the specific responsibilities of the role.

Is data analytics a good career for remote work?

Data analytics is well-suited for remote work because many tasks involve analyzing digital data, using tools like Excel, SQL, and visualization software. Professionals in this field can often collaborate virtually and manage their schedules independently, making remote work a common and viable option.

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 are popular job titles related to From Home Data Analytics jobs in Wisconsin?

For From Home Data Analytics jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching From Home Data Analytics jobs in Wisconsin look for?

The top searched job categories for From Home Data Analytics jobs in Wisconsin are:

From Home Data Analytics jobs near you

Data & Analytics Engineer

Robert W Baird & Co

Milwaukee, WI • On-site

$112K - $135K/yr

Full-time

Re-posted 17 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

#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.

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