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Remote Data Analyst Jobs in Winnetka, IL (NOW HIRING)

Data Solutions Analyst

Chicago, IL · On-site +1

$65K - $75K/yr

As a Data Solutions Analyst, you will architect and own the data pipelines, automation workflows, and reporting infrastructure that the business relies on. Your responsibilities will span data ...

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites * Develop ...

Showing results 21-40

Remote Data Analyst information

See Winnetka, IL salary details

$35.6K

$86.6K

$142.5K

How much do remote data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data analyst in Winnetka, IL is $86,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $101,700.00 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.

What are the most commonly searched types of Data Analyst jobs in Winnetka, IL?

The most popular types of Data Analyst jobs in Winnetka, IL are:

What cities near Winnetka, IL are hiring for Remote Data Analyst jobs?

Cities near Winnetka, IL with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Winnetka, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $86,607 per year, or $41.6 per hour.

Sr Data Analyst Mortgage Analytics & Insights

Federal Home Loan Bank of Chicago

Chicago, IL • On-site, Remote

$88K - $111K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

At the Federal Home Loan Bank of Chicago, employees come first - that's why we offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees.

  • Collaborative, in-office operating model

  • Retirement program (401k and Pension)

  • Medical, dental and vision insurance

  • Lifestyle Spending Account

  • Competitive PTO plan

  • 11 paid holidays per year

      Who we are

      Our mission at FHLBank Chicago: To partner with our members in Illinois and Wisconsin to provide them competitively priced funding, a reasonable return on their investment, and support for their community investment activities.

      Simply said, we're a bank for banks and other financial institutions, focused on being a strategic partner for our members and working together to reinvest in our communities, from urban centers to rural areas. Created by Congress in 1932, FHLBank Chicago is one of 11 Federal Home Loan Banks, government sponsored in support of mortgage lending and community investment.

      What it's like to work here

      At FHLBank Chicago, we bring people together. We are committed to a high performing, engaged workforce, and to supporting the communities we serve across Illinois and Wisconsin. Our Buddy Program pairs new hires with tenured employees to guide their onboarding. Our professional development and training opportunities through upskilling, mentorship programs, and tuition reimbursement allow employees to grow their career with us. Our collaborative, in-office operating model brings teams together to foster innovation, connection, and shared success. To support balance and flexibility, employees are provided with an allocation of remote days to use as needed throughout the year.

      What you'll do

      The Senior Data Analyst serves as a trusted partner to Mortgage Partnership Finance (MPF) leadership by transforming complex mortgage and business data into actionable insights. This role supports strategic decision-making through in-depth portfolio analysis, risk monitoring, performance measurement, forecasting, and data-driven recommendations that enhance the effectiveness of the Bank's national whole loan mortgage purchase program.

      How you'll make an impact

      • Identify emerging trends, portfolio risks, and business opportunities through advanced analysis of mortgage performance and operational data, enabling proactive management of the MPF program.

      • Develop scalable analytical solutions, dashboards, and performance measurement frameworks that support strategic decision-making by senior management and external stakeholders.

      • Deliver actionable insights and recommendations that improve portfolio performance, strengthen risk oversight, and enhance business outcomes.

      What you can expect

      Mortgage Portfolio Analytics & Business Insights

      • Lead the development of portfolio monitoring frameworks and perform advanced analyses to assess volume, credit performance, operational effectiveness, loan quality, and emerging risks across the MPF portfolio.

      • Analyze large, complex mortgage, financial, and operational datasets to identify trends, evaluate portfolio performance, assess risk exposures, and support strategic initiatives.

      • Conduct ad hoc and exploratory analyses to address evolving business questions and provide actionable recommendations to leadership.

      Reporting & Visualization

      • Design and maintain executive-level dashboards, scorecards, and visualizations that communicate complex analytical findings in a clear and compelling manner.

      • Develop reporting solutions that provide timely visibility into portfolio performance, operational metrics, PFI activity, and key risk indicators.

      • Present analytical findings and recommendations to senior management and stakeholders, translating technical results into business insights.

      Data Management & Automation

      • Develop automated data analyses, reporting solutions, and analytical workflows that improve efficiency, scalability, and data reliability.

      • Extract, transform, validate, and analyze data from multiple internal and external sources to support business and regulatory reporting.

      • Establish and maintain data quality standards, validation controls, and governance practices to ensure the accuracy, consistency, and integrity of analytical outputs.

      • Identify opportunities to leverage emerging technologies, advanced analytics, and automation to improve business processes and decision support capabilities.

      Leadership & Collaboration

      • Collaborate with cross-functional teams including Risk, Finance, Business Intelligence, Data Management, Member Services, and Mortgage Operations to address business needs and improve processes.

      • Foster a collaborative, data-driven culture by sharing knowledge, and promoting analytical best practices to junior analysts and interns.

      • Stay current on mortgage industry developments, housing finance trends, regulatory changes, analytical methodologies, and emerging technologies.

      What you'll bring

      • Bachelor's degree in Data Science, Business Analytics, Economics, Finance, Statistics, Mathematics, Computer Science, or a related quantitative field.

      • 4+ years of experience in data analytics, business intelligence, financial analysis, or a related analytical discipline.

      • Direct experience analyzing performance and risk of mortgage portfolios, mortgage-backed securities, or housing finance programs is strongly preferred.

      • Strong analytical, quantitative, and problem-solving capabilities with exceptional attention to detail.

      • Experience translating large, complex datasets into actionable business insights and recommendations.

      • Strong business acumen with the ability to connect analytical work to organizational objectives and strategic priorities.

      • Intellectual curiosity with a desire to understand underlying business drivers and root causes.

      • Advanced SQL skills, including experience querying, transforming, validating, and analyzing large datasets in a business and professional environment are required.

      • Advanced dashboarding and data visualization skills, including experience with Tableau, Power BI, or similar business intelligence tools, are strongly preferred.

      • Experience using analytical and statistical programming tools such as Python, R, SAS, or similar platforms is strongly preferred.

      • Familiarity with advanced analytics, artificial intelligence, or process automation techniques is preferred.

      • Advanced proficiency in Microsoft Excel, PowerPoint, and Word is required.

      • Excellent written, verbal, presentation, and listening skills.

      • Experience preparing senior management-level presentations and data-driven business recommendations.

      • Demonstrated ability to communicate effectively with both technical and non-technical audiences.

      • Strong stakeholder management skills with the ability to build credibility and influence decisions through objective analysis.

      • Self-motivated and collaborative, with a proven ability to manage multiple priorities and meet deadlines in a dynamic environment.

      The Perks

      At FHLBank Chicago, we believe in rewarding our high performing workforce. We offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees. Our retirement program includes a 401(k) and pension plan. Our wellbeing program supports employees at work and in their personal lives: Our PTO plan provides five weeks of vacation for new employees and 11 paid holidays per year; our Lifestyle Spending Account provides an annual stipend for employees to support wellbeing activities; and our central downtown location at the Old Post Office provides easy access to public transportation and breathtaking views from our award-winning rooftop. Visit FHLBCbenefits.com for additional details about our benefits. Step into a brighter future with us.

      Salary Range:

      $90,400.00 - $150,700.00

      The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors. In addition to the base salary, we offer a comprehensive benefits package which can be found here: https://hrportal.ehr.com/fhlbc