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Mid Level Data Analytics Consultant Jobs (NOW HIRING)

This role includes a blend of data management, analytics, and business intelligence ... Receives a moderate level of guidance and direction; provides informal guidance to new team members.

As a Mid-Level Data and Technology Advisor, you'll: * Provide technical and strategic expertise within the enterprise data ecosystem. * Collaborate with business and analytics teams to understand and ...

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

Competitive (based on experience) About the Role We are seeking an experienced AML Analytics Consultant with strong SQL and data analytics capabilities to join a global consulting firm. In this role ...

Competitive (based on experience) About the Role We are seeking an experienced AML Analytics Consultant with strong SQL and data analytics capabilities to join a global consulting firm. In this role ...

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Mid Level Data Analytics Consultant information

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How much do mid level data analytics consultant jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for mid level data analytics consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What is the difference between Mid Level Data Analytics Consultant vs Data Analyst?

AspectMid Level Data Analytics ConsultantData Analyst
Required CredentialsBachelor's degree in data science, analytics, or related field; some certifications preferredBachelor's degree in related fields; certifications are optional
Work EnvironmentConsulting firms, client sites, or corporate teams; project-based workIn-house teams within organizations; ongoing data analysis tasks
Employer & Industry UsageConsulting agencies, finance, healthcare, retailMost industries; internal departments
Common Search & ComparisonMid Level Data Analytics Consultant vs Data Analyst

Mid Level Data Analytics Consultants typically work on client projects, providing strategic insights and recommendations, often requiring consulting experience. Data Analysts focus on internal data processing, reporting, and analysis within organizations. While both roles require similar educational backgrounds, consultants often have additional client-facing skills and project management experience, making their roles distinct in scope and environment.

What are the key skills and qualifications needed to thrive as a Mid Level Data Analytics Consultant, and why are they important?

To thrive as a Mid Level Data Analytics Consultant, you need strong analytical skills, experience with statistical methods, and a relevant degree such as in statistics, mathematics, or computer science. Proficiency with data analysis tools like SQL, Python, R, and business intelligence platforms such as Tableau or Power BI is typically required. Effective communication, problem-solving, and stakeholder management are crucial soft skills that help translate data insights into actionable business decisions. These skills and qualities are essential for delivering valuable data-driven solutions and positively impacting organizational strategy.

What does a Mid Level Data Analytics Consultant do?

A Mid Level Data Analytics Consultant helps organizations analyze data to make informed business decisions. They collect, process, and interpret large datasets using tools like SQL, Python, or data visualization software. Their work often involves identifying trends, building reports or dashboards, and advising clients on improving performance based on data insights. With a few years of experience, they bridge the gap between junior analysts and senior consultants by handling more complex projects and mentoring others.

What are some common challenges faced by Mid Level Data Analytics Consultants when working with clients, and how are they typically addressed?

Mid Level Data Analytics Consultants often encounter challenges such as dealing with incomplete or inconsistent data, managing client expectations regarding project outcomes, and translating complex analytical findings into actionable business insights. To address these, consultants typically employ data cleaning techniques, set clear communication channels with clients, and utilize visualization tools to present results in an accessible manner. Building strong relationships with stakeholders and collaborating closely with both technical teams and business units are also key to overcoming these challenges and delivering high-impact solutions.
What cities are hiring for Mid Level Data Analytics Consultant jobs? Cities with the most Mid Level Data Analytics Consultant job openings:
What are the most commonly searched types of Data Analytics Consultant jobs? The most popular types of Data Analytics Consultant jobs are:
What states have the most Mid Level Data Analytics Consultant jobs? States with the most job openings for Mid Level Data Analytics Consultant jobs include:
Data Analytics Consultant - Claims

Data Analytics Consultant - Claims

CNA

Chicago, IL • On-site

$54K - $103K/yr

Full-time

Re-posted 22 days ago


Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Join the Claims RMIS & TPA Data Services team within the Property & Casualty Claims organization, composed of customer facing RMIS Consultants and data professionals focused on bringing Claims data to life through impactful analytics and visualizations.
In this role, you will partner across key business functions to deliver insights driven by Risk Management Information System (RMIS) and Third-Party Administrator (TPA) data. You will play a key role in ensuring the accuracy, consistency, and usability of data that supports business decisions and operational performance.
You will support the intake, transformation, and ongoing management of RMIS and TPA data, along with the development of reporting and dashboards aligned to business needs. Working under technical direction, you will contribute to the establishment of consistent metrics and perform analysis to identify trends, risks, and opportunities within Claims data. This role includes a blend of data management, analytics, and business intelligence responsibilities.
This position enjoys a flexible, hybrid work schedule of 2 days per week in our Chicago, IL or Downers Grove, IL office.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Performs moderately complex modeling for the purpose of quantifying the performance of the business area and evaluating operational changes. Reports findings to senior consultants and may make recommendations to management.
  • Interprets data and identifies relevant analyses; Monitors trends over time and provides actionable insights that support the active management of the business area.
  • Determines possible solutions using technical experience, judgment, and precedents.
  • Builds dashboards (using excel and/or Proprietary Software) and prepares reports for Senior Consultants and/or Management.
  • Identifies opportunities to leverage new IT solutions in support of analytics and reporting objectives.
  • Receives a moderate level of guidance and direction; provides informal guidance to new team members.
  • May actively partner with other analytical teams across the organization and/or participate in special projects.
  • Responds to and fulfills adhoc data requests.

Reporting Relationship
Typically Manager or above.
Skills, Knowledge and Abilities
  • Solid knowledge of core functions of an insurance company, general insurance and statistical, financial, and economic concepts, which may include a specialty area of the business.
  • Solid knowledge of applications such as Microsoft Office Suite, Tableau and other business related software.
  • Strong analytical and problem solving skills with to effectively resolve moderately complex situations and issues. Demonstrates attention to detail.
  • Strong interpersonal, communication, and presentation skills. Ability to effectively interact with all levels of CNA's internal and external business partners.
  • Ability to work independently, as well as in a team, manage time and resources to accomplish multiple tasks and meet deadlines.
  • Solid project management skills and strong organizational skills with the ability to prioritize and manage work deliverables/projects effectively.

Education and Experience
  • Bachelor's Degree in Business, Economics, Mathematics, Finance, Statistics, or related field.
  • Typically a minimum of four years of related work experience.
  • SQL knowledge/experience, a plus.
  • Salesforce experience, a plus.
  • Experience with Looker or other data visualization software, a plus.

#LI-KP1
#LI-Hybrid
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $54,000 to $103,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com