Data Consultant Jobs
Data Consultant jobs are open across financial services, healthcare, retail, and technology, from junior analyst to principal and director levels, with specializations in data strategy, analytics engineering, and business intelligence. Find a role that fits from the openings below and apply directly.
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Join our dynamic team at an innovative insurance software company! We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding ACAS or near-ACAS designation. In this role, you will be instrumental in supporting our clients’ usage of our software for data extraction and analysis, developing and reviewing statistical models, and implementing effective pricing strategies.
What you’ll do:
Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities.
Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.
Requirements:
You’ll do it using:
Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
Proficiency in machine learning methods and programming languages (Python and R).
Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
Strong ability to engage clients and provide valuable insights through data analysis.
You’ll excel by:
Focusing on the art of the possible
Communicating with honesty, candour, and respect
Collaborating seamlessly with colleagues across the company
Being resourceful and creative
Acting with empathy
You’ll love it because:
This is an incredibly impactful role in the organization.
You will have the opportunity to work in a successful, fast-moving, mission-driven company.
You will have growth opportunities.
You will collaborate with other professional and enthusiastic team members.
Earnix has competitive benefits with an all-for-one mentality.
Salary Range:
$78,000-142,000 per year
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Data Consultant Jobs by Experience Level
Top Cities Hiring Data Consultants
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Find Data Consultant JobsData Consultant Job Market
Who's Hiring
- Deloitte32

- Amazon Web Services26

- EY11

- Guidehouse11

- Veeva Systems9

Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services9
- Distribution & Wholesale7
- Accounting & Auditing2
- Investment & Asset Management2
What Employers Look For
The qualifications that appear most often in data consultant jobs.
- Proficiency in SQL and at least one major BI tool such as Tableau or Power BI
- Experience translating business questions into data requirements and actionable recommendations
- Hands-on work with Python or R for data analysis, modeling, or automation
- Bachelor's degree in a quantitative field such as statistics, computer science, or economics
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift
- Strong written and verbal communication skills for presenting findings to non-technical stakeholders
Tips for Your Data Consultant Job Search
Tailor your resume for each vertical
Data consultant roles in healthcare demand different proof points than those in fintech or retail. Swap out project examples and tool mentions to match the industry in each job posting so your resume speaks directly to that hiring team.
Quantify impact beyond accuracy metrics
Hiring managers expect clean data, so listing data accuracy improvements alone won't differentiate you. Tie your work to business outcomes: revenue recovered, decision cycles shortened, or cost reduced, using specific figures from your own projects.
Apply early to roles that fit
Migrate Mate lists data consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by engagement model before applying
Some data consultant postings are for project-based contract work, others for embedded full-time roles. Identifying the engagement model upfront saves you from advancing through multiple rounds only to find the structure doesn't fit your situation.
Prepare a stakeholder communication example
Interviewers consistently probe how you translate technical findings for non-technical audiences. Rehearse one specific story where you presented a data-driven recommendation to a business stakeholder and influenced a decision, with a clear before-and-after outcome.
Negotiate scope before you negotiate salary
Data consultant offers often include vague deliverable definitions that expand post-hire. Before finalizing any offer, clarify which teams you'll support, how success is measured, and who owns the data infrastructure decisions so expectations are set from day one.
Data Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most data consultants?
The companies hiring the most data consultants right now include Deloitte, Amazon Web Services, and EY, with the largest share of openings in Virginia, New York, and California, based on current listings on Migrate Mate as of November 2026. Demand is particularly concentrated in financial services, management consulting, and technology firms that support enterprise analytics transformations.
How many data consultant jobs are remote?
About 88% of data consultant openings are fully remote or hybrid as of November 2026, making it one of the more flexible roles in the data field. Advisory and strategy-focused sub-areas tend to have the highest remote share, while roles requiring hands-on data infrastructure work or on-site stakeholder engagement are more likely to require an in-office presence.
How do you become a data consultant?
Start by building a foundation in SQL, data visualization, and at least one scripting language such as Python. From there, develop domain expertise in a specific industry like healthcare or finance, since clients hire consultants who understand their business context, not just the tools. A portfolio of end-to-end projects that show stakeholder impact strengthens your candidacy more than certifications alone.
Can you get a data consultant job with little experience?
Yes, entry-level data consultant roles exist, particularly at larger consulting firms that hire recent graduates and train them on the job. Your strongest asset without extensive experience is a portfolio of independent projects or internship work that demonstrates you can frame a business question, analyze data, and communicate a recommendation clearly to a non-technical audience.
What does the data consultant interview process look like?
Most data consultant interview processes include an initial screening call focused on background and communication style, followed by a technical round covering SQL, data modeling, or a take-home case study. Later rounds typically involve a business case presentation where you walk through your analytical approach and findings with a panel that includes both technical and non-technical evaluators.
Where can I find and apply to data consultant jobs?
You can find and apply to data consultant jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background, seniority level, and preferred industry, then apply directly to each listing that fits.
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