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Remote Data Analyst Jobs in Brookfield, WI (NOW HIRING)

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 ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Logic Apps, Azure Monitor/Log Analytics, Defender for Cloud, IoT suite, Advisor, etc ... Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB

Rehlko, LLC

Senior M&A Analyst (remote)

Milwaukee, WI · On-site +1

Financial and other data collection, analysis, modeling, stakeholder engagement, presentation development and delivery to internal and external parties • Core aptitudes include : Problem-solving ...

Pkaza

Scheduler Data Center Owners Rep

Milwaukee, WI · Remote

Lead and mentor a team of remote consultants, supporting their development and optimizing workload ... Conduct critical path analysis, schedule reviews, and coordination meetings with project teams and ...

micro1 AI

Clinical Pharmacy Technicians

Milwaukee, WI · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Pharmacovigilance Expert

Milwaukee, WI · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

DataAnnotation

FP&A Manager - AI Trainer

Milwaukee, WI · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

TEKsystems

Claims Analyst- Must Live In WI

Milwaukee, WI · Remote

$19.25/hr

Enters eligible claim data into appropriate WRAP network re-pricing website. Overrides claims ... remote position. Application Deadline This position is anticipated to close on Sep 2, 2026. About ...

New

CIBC US

Business Analyst - Lending & PM Tools

Milwaukee, WI · On-site +1

$90K - $115K/yr

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... You give meaning to data. You enjoy investigating complex problems, and making sense of information.

CIBC

Business Analyst - Lending & PM Tools

Milwaukee, WI · On-site +1

$90K - $115K/yr

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... You give meaning to data. You enjoy investigating complex problems, and making sense of information.

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Brookfield, WI

Remote Data Analyst information

See Brookfield, WI salary details

$32.2K

$78.2K

$128.8K

How much do remote data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data analyst in Brookfield, WI is $78,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,800.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Brookfield, WI?

The most popular types of Data Analyst jobs in Brookfield, WI are:

What job categories do people searching Remote Data Analyst jobs in Brookfield, WI look for?

The top searched job categories for Remote Data Analyst jobs in Brookfield, WI are:

What cities near Brookfield, WI are hiring for Remote Data Analyst jobs?

Cities near Brookfield, WI with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Brookfield, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $78,234 per year, or $37.6 per hour.

Senior Director - Client Data Solutions

Cielo

Wauwatosa, WI • On-site, Remote

$103K - $139K/yr

Full-time

Re-posted 4 days ago

Job description

Company Description
Are you ready to accelerate your career? Join Cielo as a Senior Director - Client Data Solutions! A career at Cielo will give you the opportunity to work with the industry's smartest people and to take ownership of your success!
Cielo is a brand that reflects our big idea - that talent is rising - and with it our opportunity to rise above. We create careers for ambitious people by moving beyond traditional assumptions of what it means to work in talent acquisition.
Cielo is the world's leading Talent Acquisition Partner. We deliver a better talent experience for everyone through Talent Acquisition, Search, Consulting, and Digital Accelerators™. With our fresh approach - we design and build comprehensive, proven solutions inspired by technology to find and keep the unique talent that elevates our clients above the competition.
Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at talent.acquisition@cielotalent.com
Job Description
The Senior Director - Client Data Solutions is a strategic leadership role responsible for defining and delivering the organization's end-to-end client data ecosystem, including client integrations (ATS and external systems), data engineering, and client-facing reporting solutions.
This role ensures seamless, scalable data flow from client environments into internal systems and productized data solutions, owning the design, delivery, and reliability of integrations that enable consistent, high-quality dashboards and reporting experiences. The Senior Director - Client Data Solutions is accountable for templated, analytics-ready data products that power client reporting, while partnering with Business Intelligence and analytics teams who drive insight generation and ad hoc analysis.
As a senior member of the Client Technology leadership team, this role works closely with Product Management, AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution.
Role: Remote - United States
Work set up: Monday to Friday - FTE
Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration into internal systems then translate into accurate reporting and dashboards?
Duties and Responsibilities:
  • Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams, providing technical guidance, career development, and performance management.
  • Define and execute the organization's data integration and client data strategies, spanning integrations, data platform, and reporting enablement.
  • Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact.
  • Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities.
  • Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy.
  • Drive technical direction for data architecture, integration patterns, and platform scalability.
  • Oversee the design and delivery of scalable, reliable data integration pipelines and integration workflows across client systems and internal platforms.
  • Establish best practices for data engineering, including testing, deployment, observability, and documentation.
  • Guide implementation of data quality, monitoring, and reliability frameworks.
  • Ensure compliance with data governance, security, and regulatory requirements.
  • Continuously evaluate and evolve the data technology stack to support growth and innovation.
  • Own the strategy and delivery of client-facing data products, including dashboards, reporting layers, and embedded data experiences.
  • Deliver scalable, templated reporting solutions that reduce reliance on custom, one-off reporting.
  • Partner with Client Services and Operations to translate business needs into reusable, analytics-ready data models.
  • Establish and maintain semantic layers, standardized metrics, and governed data definitions.
  • Ensure performance, usability, and consistency of data powering all client reporting experiences.
  • Collaborate with Product Management to embed reporting capabilities into core platform offerings.
  • Partner with Product Management to align data capabilities with product roadmaps and client value propositions.
  • Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development, deployment, and consumption.
  • Work closely with client-facing teams to understand customer needs and deliver scalable, repeatable data solutions.
  • Act as a bridge between technical and business stakeholders to drive alignment and clarity on data initiatives.
  • Champion a data-driven culture across the organization.
  • Oversee planning, prioritization, and execution of data integration and platform initiatives.
  • Manage budgets, vendor relationships, and data-related technology investments.
  • Establish processes for monitoring, troubleshooting, and maintaining production data systems.
  • Drive continuous improvement in scalability, reliability, and efficiency of data operations.
  • Enable faster delivery of reporting capabilities through standardization and reusable data assets.

Supervisory Responsibilities:
The Senior Director - Client Data Solutions will assist with daily activities, provide guidance, conduct performance reviews, and support the professional growth of the Data Engineering, Integration Engineering, and Client Reporting leaders.
Qualifications
Position Requirements
Education:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred

Experience:
  • 8+ years of experience in data engineering, data platforms, or integration roles
  • 5+ years of experience leading technical teams, including managing managers
  • Deep experience with modern data architecture, ETL/ELT, and integration frameworks
  • Proven track record of delivering client-facing data solutions or data products at scale
  • Demonstrated ability to align technical solutions with business outcomes
  • Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB)
  • Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL)
  • Experience with API design, development, and integration patterns
  • Experience working with AI/ML teams to support data requirements for model development and deployment
  • Track record of successfully delivering complex data integration projects that meet business requirements
  • Experience in talent acquisition technology, HR systems, or related industries preferred

Exposure:
  • Knowledge of data governance, security, and compliance requirements
  • Proficiency in data quality management and monitoring tools
  • Understanding of the full life cycle of project/program execution following established project management methodology
  • Demonstrate expert knowledge of talent acquisition platforms, tools, products, and other complimentary technologies to support these platforms
  • Deep subject matter expertise in a variety of workstreams (change management, risk assessment, compliance, sponsorship modelling, user acceptance testing, end-to-end testing, end user training, communications, resistance management, launch planning, and configuration)
  • Commercially astute
  • Proficient in Word, Excel, PowerPoint, Outlook, Smartsheet, Lucidchart, and other related productivity software

Additional Information

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