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Data Expert Jobs (NOW HIRING)

FanThreeSixty

Client Data Strategist

Leawood, KS · On-site

Summary FanThreeSixty is looking for a Client Data Strategist to serve as the primary data expert in front of our clients and prospects. This role bridges the gap between what clients and prospective ...

FanThreeSixty

Client Data Strategist

Leawood, KS

Summary FanThreeSixty is looking for a Client Data Strategist to serve as the primary data expert in front of our clients and prospects. This role bridges the gap between what clients and prospective ...

YO AI Labs

SWE AI Training Data Expert - Remote

Miami, FL · Remote

$80 - $120/hr

Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging complex software issues . * Proven experience in feature implementation and codebase refactoring

Improvado

$70K - $110K/yr

Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. * Proficiency in SQL * Proficiency in data modelling (dbt ...

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Data Expert information

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$46K

$165K

$243.5K

How much do data expert jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data expert in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Expert vs Data Analyst?

AspectData ExpertData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP, Microsoft Data AnalystBachelor's in related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates across departments, often involved in strategic data initiativesAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Expert typically has a broader scope, focusing on complex data strategies and cross-departmental projects. A Data Analyst primarily interprets data, creates reports, and supports operational decisions. The roles often overlap, but Data Experts usually possess more advanced skills and responsibilities.

More about Data Expert jobs

What cities are hiring for Data Expert jobs?

Cities with the most Data Expert job openings:

What states have the most Data Expert jobs?

States with the most job openings for Data Expert jobs include:

Data Expert jobs near you
Infographic showing various Data Expert job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Client Data Strategist

FanThreeSixty

Leawood, KS • On-site

Full-time

Posted 10 days ago

Job description

Job Description Summary
FanThreeSixty is looking for a Client Data Strategist to serve as the primary data expert in front of our clients and prospects. This role bridges the gap between what clients and prospective clients need from a data perspective and what our platform can deliver - engaging in sales conversations as the data subject-matter expert, guiding new clients through data onboarding, and owning data strategy conversations for our most strategic existing accounts.
This role reports to the Sr. Director, Product & Data Strategy.
You'll work closely with Sales, Client Success, our Sales Engineer, and our Lead Data Product Manager, translating client needs and feedback into signals that shapes what we build next. This is a client-facing role for someone who's equally comfortable in a sales conversation, a technical onboarding discussion, and a roadmap conversation with Product - and who enjoys being the person who makes data feel less intimidating to the people on the other side of the table.
Job Description
What You'll Own
Pre-sale data expertise
Join sales conversations where a prospect's data questions go beyond what Sales can credibly answer; assess data feasibility early to flag onboarding risk before a deal closes rather than after.
Proposal & scoping support
Help shape the data-specific parts of proposals and statements of work, ensuring what's promised to a client is what can actually be delivered on the timeline sold. Works alongside the Sales Engineer, who owns demo staging, POC builds, and RFP/security-questionnaire technical responses - Client Data Strategist informs what gets demoed or proposed based on discovery findings, while Sales Engineer executes the technical build and response.
Client-facing onboarding ownership
Work directly with new clients to define their data landscape - what they have, what they want to send or receive, and how it maps to our platform - and translate that into requirements our technical teams can build against.
Strategic account data ownership
Personally own data strategy conversations for a defined tier of strategic existing accounts. Serve as the escalation point when a Client Success lead surfaces a signal - a maturity jump, expansion opportunity, or churn risk - that warrants direct involvement on a non-tier account.
Client Success enablement
Build and maintain a discovery playbook, and train and calibrate Client Success leads to run data-strategy discovery conversations independently for non-tier existing accounts. Review their debriefs periodically to maintain consistent quality.
Ongoing strategic reassessment
Periodically revisit each strategic account's data maturity and use cases, even absent a specific request, to proactively surface where their needs - and our recommendations - should evolve.
Voice-of-client feedback loop
Continuously surface patterns in client needs and pain points to the Lead Data Product Manager, turning recurring requests into structured input for roadmap prioritization.
Internal representation
Sit in on internal roadmap and prioritization conversations as the advocate for what clients actually need, not just what's been requested loudest.
What Success Looks Like
  • Sales and Client Success trust you as the go-to data expert in client conversations, at any stage of the relationship.
  • New clients have a smooth, well-scoped onboarding experience because data expectations were set accurately during the sales process.
  • Client Success leads confidently and consistently run discovery conversations for non-tier accounts using the shared playbook, with strategic-tier accounts receiving direct, high-quality attention.
  • When new-prospect discovery and existing-client conversations compete for time, new-prospect discovery is prioritized by default - except for the protected tier of strategic accounts, which are never deprioritized.
  • The Lead Data Product Manager has a clear, ongoing channel of client feedback that meaningfully shapes what gets prioritized.

What You Bring
  • Significant experience in sports, live entertainment, or a closely adjacent consumer/fan-data industry, with genuine credibility in front of clients in this space.
  • 4-6 years of client-facing experience in a data, analytics, or technical consulting capacity - whether in sales engineering, solutions consulting, customer success, or data strategy - with direct exposure to how data gets scoped, sold, and implemented for enterprise clients.
  • Comfort operating across the full client lifecycle - equally credible in a pre-sale conversation and a technical onboarding discussion.
  • Strong translation skills - able to take what a client says in their own terms and turn it into something technical teams can act on, and vice versa.
  • Excellent communication and relationship-building skills; you build trust quickly with both technical and non-technical stakeholders.
  • Comfort with ambiguity and no fixed script - this role requires judgment about when to bring in engineering, when to manage expectations, and when to escalate.
  • A mindset oriented toward continuous improvement - for clients' data strategy and for our own - rather than treating any engagement or internal process as finished once it's working.
  • Experience or clear aptitude for training and coaching others - you'll be building a playbook and calibrating a team of Client Success leads, not just running your own conversations.

Nice to Have
  • Background in data onboarding, integrations, or technical implementation work.
  • Prior experience in a pre-sales, solutions consulting, or customer success role at a SaaS company.

Travel
Some travel required for on-site client engagements, kickoffs, and industry events.

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