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Data Insight Jobs in Chicago, IL (NOW HIRING)

Insight

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

At Insight Hospital and Medical Center Chicago, we believe there is a better way to provide quality ... The Data Analyst also assists others within the organization in the development of databases and ...

Insight

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

At Insight Hospital and Medical Center Chicago, we believe there is a better way to provide quality ... The Data Analyst also assists others within the organization in the development of databases and ...

Insight

Quality Data Coordinator

Chicago, IL · On-site

$41 - $50/hr

At Insight Hospital and Medical Center Chicago, we believe there is a better way to provide quality ... GENERAL SUMMARY: The Quality Data Coordinator is responsible for collection, production and ...

Insight

Quality Data Coordinator

Chicago, IL

$41 - $50/hr

At Insight Hospital and Medical Center Chicago, we believe there is a better way to provide quality ... GENERAL SUMMARY: The Quality Data Coordinator is responsible for collection, production and ...

Dart Container

Sr Consumer Insight Analyst

Chicago, IL · On-site

$90K - $120K/yr

Support learning and development, leverage of data, insights and tools within the BU and sales organization * Develop, maintain, and deliver accretive category selling decks that help support budget ...

Dart Container

Sr Consumer Insight Analyst

Chicago, IL · On-site

$90K - $120K/yr

Support learning and development, leverage of data, insights and tools within the BU and sales organization * Develop, maintain, and deliver accretive category selling decks that help support budget ...

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All JobsData Insight JobsData Insight Jobs in Chicago, IL

Data Insight information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do data insight jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data insight in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Insight vs Data Analyst?

AspectData InsightData Analyst
Required CredentialsTypically a degree in data science, analytics, or related fields; certifications like Tableau, Power BIOften a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or analytics tools
Work EnvironmentCollaborates with business teams to provide strategic insights; may work in tech, finance, marketingAnalyzes data sets, prepares reports, and visualizations; works across various industries
Employer & Industry UsageUsed by companies seeking actionable insights for decision-makingEmployed in diverse sectors for data analysis and reporting

Data Insight professionals focus on deriving strategic insights from data to inform business decisions, often working closely with stakeholders. Data Analysts primarily analyze data sets, create reports, and visualize data to support operational and strategic needs. While both roles require analytical skills and familiarity with data tools, Data Insights roles tend to emphasize strategic thinking and business impact, whereas Data Analysts focus on data processing and reporting.

What are the key skills and qualifications needed to thrive as a Data Insight professional, and why are they important?

To thrive as a Data Insight professional, you need strong analytical skills, statistical knowledge, and a background in data science or a related field. Proficiency in data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI, along with relevant certifications, is typically required. Exceptional problem-solving abilities, business acumen, and effective communication skills help translate complex data into actionable insights. These capabilities are critical for driving data-driven decisions and generating measurable business value.

What are Data Insight professionals?

Data Insight professionals are experts who analyze and interpret data to uncover valuable trends, patterns, and actionable information that help organizations make informed decisions. They use various analytical tools and techniques to transform raw data into meaningful insights that can drive business strategies, optimize operations, and solve complex problems. Their work typically involves collecting, cleaning, and processing data, as well as presenting findings to stakeholders in a clear and impactful way.

How does a Data Insight professional typically collaborate with other departments within an organization?

Data Insight professionals frequently work cross-functionally, partnering with teams such as marketing, product, finance, and operations to translate raw data into actionable business strategies. They often participate in meetings to understand stakeholder goals, gather requirements, and present their findings through clear reports or visualizations. Effective communication and the ability to tailor insights for non-technical audiences are crucial, as these professionals help bridge the gap between data analysis and strategic decision-making across the company.
What are popular job titles related to Data Insight jobs in Chicago, IL? For Data Insight jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Insight jobs in Chicago, IL look for? The top searched job categories for Data Insight jobs in Chicago, IL are:
Data Insight jobs near you
Infographic showing various Data Insight job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.

Principal Scientist - Data Insights & Hypothesis Design

Tempus

Chicago, IL • On-site

Full-time

Posted 15 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Principal Scientist - Data Insights & Hypothesis Design
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
Position Overview
As a Principal Scientist on the Data Insights and Hypothesis Design team, you will ensure the scientific coherence of Tempus' multimodal data platform while bridging the gap between complex molecular science and scalable data engineering.
This position requires strong computational, statistical, and translational research skills, alongside a deep interest in reproducible science and artificial intelligence. You will serve as a cornerstone for expanding our multi-modal applications beyond our foundational oncology roots, actively spearheading scientific efforts to support emerging, large-scale datasets in neurology (Alzheimer's disease) and Immunology & Inflammation (I&I).
Role Focus & Scientific Impact
In this position, you will act as a highly specialized subject matter expert, anchoring our data strategy with deep domain expertise across multiple therapeutic areas. Your impact will be driven by a balance of hands-on technical execution such as data prototyping and code creation and the strategic delegation of modular tasks to effectively scale projects. While you will work closely with cross-functional teams to support go-to-market strategies with rigorous scientific insights and validation, your primary focus will remain on scientific excellence, enablement, and data integrity.
Key Responsibilities
  • Data Evaluation & Prototyping: Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings within the Tempus Data Model (TDM). Deliver implementation-ready table and column specifications to seamlessly transition initial concepts into scalable, production-grade offerings.
  • Client Alignment & Scientific Advisory: Translate complex client research objectives across the drug discovery and development lifecycle into actionable clinico-genomic data strategies. Ensure seamless alignment between client hypotheses and Tempus capabilities, effectively matching the right datasets to their specific research needs and guiding how to best leverage them.
  • Cross-Functional Subject Matter Expertise: Serve as a core scientific authority across the organization. Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports and capability demonstrations that empower various teams with scientifically validated evidence.
  • Cross-Domain Data Oversight: Support the continuous growth and scaling of Tempus' expanding clinical-genomic footprint across diverse disease domains, with an active focus on neurology and Immunology. Bring a holistic, cross-disciplinary view of human biology to profile and validate terabyte-scale datasets, leveraging a proven track record of scientific agility to seamlessly adapt, uncover novel biological patterns, and extract meaningful findings across varying disease areas.

Qualifications
  • Education & Experience: PhD in a quantitative, NGS-related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology) with 6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas.
  • Domain Expertise: Deep expertise in at least one of oncology, neurology, or immunology. Additionally strong, demonstrable experience analyzing large-scale clinico-genomic datasets across multiple disease areas.

  • Data Engineering & Scale Architecture:Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models.
  • Emerging AI & Foundational Modeling Knowledge: Active, up-to-date expertise with cutting-edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows to interpret and navigate complex biological data.

  • Multi-Omic & NGS Modalities: Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
  • Translational Impact: Proven experience bringing data to market and translating scientific analyses into production-grade data products or clinical-facing solutions.

  • Programming: Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization.

  • Strategic Leadership:Strong cross-functional communication skills with the ability to architect end-to-end execution plans, manage client expectations, and mentor technical peers through structured delegation.
CHI: $150,000-$200,000
NYC/SF: $165,000-$225,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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