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

The Job at a Glance We are seeking an experienced Master Data Management (MDM) & Data Governance Analyst to design, implement, and operate data governance processes and master data solutions across ...

Tax Analyst

Schaumburg, IL · On-site +1

$66K - $91K/yr

Remote (4) days/Onsite (1) day FLSA STATUS: Exempt TRAVEL REQUIRED : Minimal POSITIONS SUPERVISED ... Proficient in working with large data files, Microsoft Excel, and other Office tools Excellent ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Data Engineer - 332427

Lake Forest, IL · Remote

$153K - $174K/yr

Build high-performance data ingestion and transformation pipelines for large-scale analytics and real-time data using kafka and Apache Spark on Databricks. 100% remote work allowed from anywhere in ...

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 ...

The role also supports data engineering and modern lakehouse practices, including scalable data ... Regular, predictable attendance during core business hours in a remote work environment is an ...

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Remote Data Analyst information

See Huntley, IL salary details

$33.9K

$82.5K

$135.8K

How much do remote data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data analyst in Huntley, IL is $82,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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.

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.

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 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 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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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 most commonly searched types of Data Analyst jobs in Huntley, IL? The most popular types of Data Analyst jobs in Huntley, IL are:
What job categories do people searching Remote Data Analyst jobs in Huntley, IL look for? The top searched job categories for Remote Data Analyst jobs in Huntley, IL are:
What cities near Huntley, IL are hiring for Remote Data Analyst jobs? Cities near Huntley, IL with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Huntley, IL as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,497 per year, or $39.7 per hour.

Data Governance Analyst

Parts Town

Addison, IL • On-site, Remote

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Parts Town rating

8.7

Company rating: 8.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

44th of 415 rated retail wholesalers


Job description

 See What We’re All About

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list!

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We’re more interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us at the top of our game. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.

If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today!

Perks

  • Parts Town Pride – check out our virtual tour and culture!
  • Quarterly profit-sharing bonus
  • Hybrid Work schedule
  • Team member appreciation events and recognition programs
  • Volunteer opportunities
  • Casual dress code
  • On demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
  • All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

The Job at a Glance

 We are seeking an experienced Master Data Management (MDM) & Data Governance Analyst to design, implement, and operate data governance processes and master data solutions across our enterprise. This role will lead data standards, metadata, data quality monitoring, and reference/master data domains (e.g., Customer, Product, Vendor), with a strong emphasis on Google Cloud Platform (GCP) capabilities (BigQuery, Dataplex, Data Catalog). The ideal candidate blends business acumen with technical depth and can partner with data engineering, security, and business stakeholders to deliver trusted, well-governed data at scale.

A Typical Day

  • Drive domain-level MDM (e.g., Customer, Product, Vendor, Location) including survivorship rules, match/merge, golden record creation, and hierarchy management.
  • Define and execute data stewardship processes; triage master data issues and change requests.
  • Establish policies, standards, and controls for data quality, metadata, lineage, and access.
  • Define business glossaries, data definitions, and critical data elements (CDEs). Participate in governance councils and run working groups; track adoption and compliance KPIs.
  • Design and implement data quality rules, profiling, and monitoring dashboards for priority data domains.
  • Coordinate issue management and remediation with data owners and engineering teams.
  • Implement preventative/automated checks and SLAs for data reliability across pipelines.
  • Integrate metadata, lineage, and DQ workflows with GCP-native tools such as Dataplex and/or governance platforms (e.g., Collibra/Alation).
  • Collaborate with data engineering on ingestion, transformation, and model design aligned to governance standards.
  • Align governance and controls with regulatory requirements (e.g., GDPR/CCPA, SOX), security standards, and internal audit findings.
  • Support access reviews, data retention/archival, and sensitive data handling (PII/PHI).
  • Build training, playbooks, and communications to drive adoption of governance processes.
  • Contribute to enterprise initiatives and participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes.
  • Collaborate with Enterprise Architecture to establish and operationalize core MDM capabilities, including governance, data quality controls, and domain stewardship.

To Land This Opportunity

  • You have 5–7 years in Data Governance, MDM, Data Quality, and Metadata Management.
  • You have Hands-on experience with GCP data ecosystem:
    • BigQuery (SQL, performance tuning, partitioning/clustering)
    • Dataplex (data domains, policies)
    • Data Catalog (tags, metadata, lineage)
    • IAM (RBAC/ABAC, service accounts)
  • You have a strong understanding of data quality techniques (profiling, rules, thresholds, remediation workflows).
  • You have experience defining data standards, business glossary, and metadata models.
  • You have experience with MDM platforms (e.g., Teradata, Informatica MDM/360, Reltio, Profisee) or custom MDM implementations.
  • You have experience with Data Governance tools such as Dataplex, Collibra, Alation, Informatica.
  • You are proficient in SQL; familiar with Python or data pipeline tooling a plus.
  • You have excellent cross-functional communication and stakeholder management skills.

About Your Future Team

Our team’s favorite pastimes include corny jokes, paintball, and Guardians of the Galaxy. We like both dogs and cats, and we like coffee and tea…a lot (we’ll hear you out on whether Dunkin or Starbucks gets your vote).

At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported.   We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $61,773. to $95,474.41 anually) which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay-for performance company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role.

Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.


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