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Data Analyst Mid Level Jobs in Chicago, IL (NOW HIRING)

Use data storytelling to deliver client-facing data presentations and executive-level reports that ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Sr Data Analyst

Chicago, IL · Hybrid

$88K - $111K/yr

Attention to detail and high level of accuracy in work. Minimum Education * Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field. Minimum ...

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/hr

This position requires a high level of ownership, initiative, and independent execution. The ideal ... Integrate and analyze data across internal systems, including Salesforce, Stratum, SAP, and ...

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

This position requires a high level of ownership, initiative, and independent execution. The ideal ... Integrate and analyze data across internal systems, including Salesforce, Stratum, SAP, and ...

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

Qualifications High level * Work as a business partner to define and document key requirements for ... Data Analyst details * Data modeler/analyst must have strong knowledge of star schema and snow ...

Expert-level Microsoft Excel and PowerPoint skills * Ability to swiftly extract key insights from data * Strong written and verbal communication skills * Knowledge of an analytical language like ...

High level of motivation, dependability, and problem-solving ability; knows when to ask questions ... Data analysis experience in financial services; accounting or finance background. Bachelor's degree ...

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$65K - $85K/yr

In this role, you will analyze client spend data to identify policy violations, trends, sourcing ... Detail-oriented with a high level of accuracy * Curious and inquisitive mindset with a desire to ...

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Foundational level skills in finance, forecasting and related analysis including modeling and problem-solving skills * Ability to work with large sets of unstructured data independently Target salary ...

The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the ... Display a high level of time management skills to manage multiple and elaborate requests ...

As part of our growing Data & Analytics team, you'll design scalable data pipelines, develop ... Expert-level proficiency with Snowflake (including advanced SQL optimization) and dbt (model ...

As part of our growing Data & Analytics team, you'll design scalable data pipelines, develop ... Expert-level proficiency with Snowflake (including advanced SQL optimization) and dbt (model ...

Foundational level skills in finance, forecasting and related analysis including modeling and problem-solving skills * Ability to work with large sets of unstructured data independently Target salary ...

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

As part of our growing Data & Analytics team, you'll design scalable data pipelines, develop ... Expert-level proficiency with Snowflake (including advanced SQL optimization) and dbt (model ...

... Senior-level Data Analyst (8+ years of total experience, 5+ in specialized analytics) with strong technical mastery over Power BI, SQL, and AWS NoSQL environments. They possess exceptional ...

... level business process maps a plus • 3+ years of SQL and comfort analyzing data sets of millions of records • Background with Customer Identification platforms a plus • Willingness to work in ...

Showing results 21-40

Data Analyst Mid Level information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do data analyst mid level jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst mid level in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What are entry-level data analyst jobs called?

Entry-level data analyst jobs are often called Junior Data Analyst, Data Analyst Intern, or Data Analyst Trainee. These roles typically require basic skills in data visualization, Excel, and SQL, and may involve supporting senior analysts with data collection and reporting tasks.

How much do data analysts mid level make?

Mid-level data analysts typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. They often have 2-5 years of experience and proficiency in tools like SQL, Excel, and data visualization software.

What does a mid-level data analyst do?

A mid-level data analyst collects, processes, and analyzes data to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software, and may be responsible for creating reports and dashboards to communicate findings to stakeholders.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

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

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

What job categories do people searching Data Analyst Mid Level jobs in Chicago, IL look for?

The top searched job categories for Data Analyst Mid Level jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Analyst Mid Level jobs?

Cities near Chicago, IL with the most Data Analyst Mid Level job openings:

Infographic showing various Data Analyst Mid Level job openings in Chicago, IL as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 100% In-person job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Enterprise Data Analyst

Husch Blackwell Llp

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 20 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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