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Senior Data Analyst Remote Jobs in Wisconsin (NOW HIRING)

Serve Robotics

$211K - $246K/yr

Qualifications * 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers. * Data leadership experience:

Amgen, Inc.

Senior Data Scientist

Madison, WI · On-site +1

Senior Data Scientist What you will do Let's do this! Let's change the world! In this vital role ... Strong analytical skills with the ability to collect, organize, analyze, and disseminate ...

Northwestern Mutual

Senior Data Engineer

Milwaukee, WI · Remote

$113K - $222K/yr

The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will apply engineering best practices in order to analyze, design, develop, deploy and support software ...

Rehlko, LLC

Senior M&A Analyst (remote)

Milwaukee, WI · On-site +1

The Senior Associate will support the Manager and Director - Business Development in providing ... Financial and other data collection, analysis, modeling, stakeholder engagement, presentation ...

Rehlko, LLC

Senior M&A Analyst (remote)

Milwaukee, WI · On-site +1

The Senior Associate will support the Manager and Director - Business Development in providing ... Financial and other data collection, analysis, modeling, stakeholder engagement, presentation ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Markel International

Sr. Data Product Owner

Milwaukee, WI · On-site +1

$116K - $159K/yr

The Sr. Product Owner is the member of the team responsible for defining and prioritizing the Team ... Analyze customer opinions and feedback to determine features or components that will add good value ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

The Senior Director - Client Data Solutions is accountable for templated, analytics-ready data ... Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

The Senior Director - Client Data Solutions is accountable for templated, analytics-ready data ... Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ...

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Senior Data Analyst Remote information

What is a senior data analyst remote?

A Senior Data Analyst Remote job involves analyzing complex datasets to provide insights that drive business decisions, all while working from a remote location. Responsibilities typically include data modeling, visualization, and collaborating with cross-functional teams to optimize strategies. Senior analysts are expected to have advanced analytical skills, experience with SQL, Python, or R, and familiarity with business intelligence tools. They also help streamline data processes and ensure data accuracy for strategic planning. This role requires strong communication skills to present findings clearly to stakeholders.

What are the key skills and qualifications needed to thrive as a senior data analyst remote?

To excel as a Senior Data Analyst Remote, you need advanced analytical skills, a solid background in statistics, and experience with large datasets, typically supported by a bachelor's or master's degree in a quantitative field. Expertise in SQL, Python or R, data visualization tools like Tableau or Power BI, and familiarity with cloud-based data platforms are commonly required, along with relevant certifications such as Google Data Analytics or Microsoft Certified Data Analyst. Excellent communication, problem-solving ability, and project management skills are highly valued in this remote role to ensure effective collaboration and stakeholder engagement. These competencies are essential for delivering actionable insights, driving business decisions, and thriving within distributed, cross-functional teams.

What are the typical challenges faced by senior data analysts working remotely, and how can they be overcome?

Senior Data Analysts working remotely often face challenges related to effective cross-team communication, accessing data securely, and maintaining alignment with business goals. Proactively scheduling regular virtual check-ins, using collaborative project management tools, and ensuring access to up-to-date documentation can help bridge gaps and keep work on track. To overcome data access and security issues, it’s important to follow organizational protocols for secure connection to data sources and encrypted communication. Staying connected with stakeholders through clear, concise reporting also supports transparency and alignment. By embracing structured workflows and leveraging remote collaboration tools, remote Senior Data Analysts can stay productive and closely integrated with their teams.

What are the most commonly searched types of Senior Data Analyst jobs in Wisconsin? The most popular types of Senior Data Analyst jobs in Wisconsin are:
What are popular job titles related to Senior Data Analyst Remote jobs in Wisconsin? For Senior Data Analyst Remote jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst Remote jobs in Wisconsin look for? The top searched job categories for Senior Data Analyst Remote jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Data Analyst Remote jobs? Cities in Wisconsin with the most Senior Data Analyst Remote job openings:
Senior Data Analyst Remote jobs near you
Infographic showing various Senior Data Analyst Remote job openings in Wisconsin as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Sr. Manager, Data Engineering & Analytics

Serve Robotics

On-site, Remote

$211K - $246K/yr

Full-time

Re-posted 19 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
Responsibilities
  • Lead the Team: Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards.
  • Technical Leadership: Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data initiatives.
  • Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the company's data infrastructure, such as data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling.
  • Analytics Delivery: Ensure business stakeholders have accurate dashboards, metrics, reporting, and ad hoc analysis to support decision-making across functions such as product, operations, finance, sales, marketing, and executive leadership.
  • Empowering Self-Service: Make self-service an organization-wide goal by building rich, trusted datasets and enabling access through AI-powered natural language interfaces.
  • Data Quality and Governance: Establish standards for data accuracy, lineage, documentation, access controls, privacy, security, and compliance.

Qualifications
  • 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers.
  • Data leadership experience: Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance management, and roadmap planning.
  • Strong technical foundation: Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices.
  • Experience with modern data stacks: Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, or similar platforms.
  • Cross-functional, business-oriented partnership: Strong track record partnering with executives and teams across product, operations, finance, engineering, sales and marketing, translating business goals into data strategy, dashboards and analytics products that improve decision-making.
  • AI-powered self-service analytics experience: Demonstrated ability to build trusted, governed data products and enable organization-wide access through natural language or AI-powered analytics interfaces, with strong controls for accuracy, security, privacy, compliance and usability.
  • Data governance expertise: Experience establishing standards for data quality, documentation, access controls, privacy, security, auditability, metric definitions, and trusted data products, including SOX, SOC2 compliance and compliance with international data policies and regulations (e.g., GDPR, data residency requirements).
  • Education or equivalent experience: Bachelor's degree in computer science, data science, engineering, statistics, mathematics, information systems, or a related field. Advanced degrees are a plus.

*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
  • Canada - ALL: $179,976 - CAD- $221,828 CAD

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