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Mid Level Data Analytics Consultant Jobs (NOW HIRING)

CFGI

Data & Analytics - Consultant

Charleston, WV

... Manager-level candidates will also have project management experience in cross-functional ... · Data Modeling / Analytics · Strong Excel skills · Finance/Accounting background · Data ...

IC-CAP LLC

Data Modeler Mid-Level 112-012

Chantilly, VA · On-site

$56 - $72.75/hr

Mid-level Data Modelers conduct data modeling activities in support of business stakeholders, analysts, and workforce to define and analyze system and data requirements to support NGA business ...

Navtech, Inc.

Data Analytics

Jersey City, NJ · On-site

Data Analytics Consultant Location : Remote Duration : 6 to 12 Months - Analytics Consultant: Analytical consultant High skilled functional consultants Experienced understanding PBM trend - pharmacy ...

Vantage Data Centers

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Collaborate with business analysts and crossfunctional stakeholders to translate data requirements into practical, working data solutions. * Prepare and structure data to support advanced analytics ...

A3 Technology

Data Analyst -Mid Level

Washington, DC · On-site

$50K - $175K/yr

A3 Technology, Inc. is seeking a mid-level Data Analyst to join our team in Washington, DC. Essential Job Functions: * Collect and analyze data to evaluate operational difficulties and make ...

Cna

Data Analytics Consultant - Claims

Chicago, IL · Hybrid

$54K - $103K/yr

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.

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

As of Jun 26, 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 are the most commonly searched types of Data Analytics Consultant jobs? The most popular types of Data Analytics Consultant jobs are:
Mid Level Data Analytics Consultant jobs near you
Data & Analytics - Consultant

Data & Analytics - Consultant

CFGI

Charleston, WV

Full-time

Posted 18 days ago

Job description

CFGI is seeking a data driven team member to join the Data and Analytics team in Business Transformation as a Manager. As a member of the team, you will be collaborating with clients by creating, developing, designing, and implementing processes and tools that will change how our clients use their most powerful resource – data. The Data and Analytics team helps clients define data strategies, build automation processes, and develop visualizations + predictive analytics tools to deliver impactful solutions and help our clients achieve business objectives using a data driven approach.
 
You will be responsible for managing various client projects, communicating business objectives to cross-functional stakeholders and providing input on both business process operations and data analytics tool specifications. You will be expected to work independently yet collaboratively with key stakeholders across a client’s organization to oversee projects and drive transformation. Additional responsibilities include tasks specific to scope development, budget creation and monitoring, as well as development of internal tools and templates to help drive team development.
 
An effective team member can incorporate a strong CPA/Finance background in building client solutions to address client’s business needs using data analytics tools. The team is tool agnostic in building a customized solution for our clients and uses various tools such as Python or Alteryx for data business process automation and PowerBI or Tableau for dashboarding. Effective communication and organizational skills will be imperative to your success in this role. Requisite working knowledge gained through professional working experience on data analytics projects is foundational to successfully initiate, plan, execute, monitor, control, and close projects. 
 
Roles and Responsibilities:
 
·       Hands-on experience translating data and analytics into actionable insights with ability to create reports and present observations to clients in a clear and concise manner.
·       Able to design and execute the transformation and analysis of large structured and unstructured / quantitative and qualitative datasets.
·       Strong problem-solving skills with ability to work independently, owning and driving projects from requirements through execution by implementing various data analytics solutions.
·       Work closely with stakeholders to understand their business needs, developing and maintaining strong internal and client relationships to manage cross-functional projects/initiatives.
·       Manager-level candidates will also have project management experience in cross-functional engagements including accounting/finance, FP&A, modeling, and/or tech implementation.
·       Must be able to effectively communicate complex, technical topics to a novice, non-technical audience with a passion for collaboration, learning new technologies, and client success.
·       Ability to manage individual workflow and task responsibilities.
 
Skills and Competencies:
 
·       Alteryx
·       Power Automate
·       PowerBI
·       Tableau
·       Data Architecture
·       Data Modeling / Analytics
·       Strong Excel skills
·       Finance/Accounting background
·       Data Science
·       Data Visualization
·       Solution Architecture
·       Workflow Automation
·       Programming (e.g., SQL, Java, Python, R)
·       RDMS (relational database management systems)
·       Exposure to data platforms (e.g., Snowflake, Databricks)
·       Data Engineering
 
Qualifications and Capabilities:
 
We would like individuals to have a balanced breakdown of the following skills:
 
1) Must have: The candidate should have strong soft skills and general areas of technical competence, as this is the backbone of the candidate’s day to day work in the Business Transformation group here at CFGI.
2) ‘Major’ concentration: At least one technical skill that the user is Certified in and has been using on a consistent basis for 2+ years; Considers themselves near ‘fluent’ or ‘super-user’.
3) ‘Minor’ concentrations:  At least 2+ technical skills that the individual has at the very least.
 
Must Have (Core Experience):
 
·       Bachelor’s degree is required; educational backgrounds in quantitative fields like Accounting/Finance, Information Systems, Statistics, and Computer Science is preferred.
·       CPA or other relevant designations are preferred.
·       Analytics background and experience, preferably in a client service environment.
·       Solid communication, teaming, presentation and project management skills.
·       Ability to research and generate ad-hoc solutions to problems.
·       Strong Excel skills – Using formulas (VLOOKUP, SUMIF, IF statements, INDEX/MATCH etc.).
 
Major/Minor Competencies:
 
·       ETL Automation: Alteryx.
·       Visualization: Tableau / MSFT PowerBI.
·       Code-Based: Python (R acceptable but not preferred).
·       Data Query: SQL (T-SQL) / (mySQL acceptable but not preferred).
·       Relational Data: Understanding of Database syntax (Table Structure, Joins, Filters).
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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About CFGI

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2000

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