Fractional Data Team Staffing, Billed by the Hour
A part-time data analyst and analytics engineer, plus a fractional lead if you want one, employed by KORE1.
A fractional data team is a part-time pod of contract data people, usually an analyst and an analytics engineer with an optional fractional lead, who bill hourly and do the work before a full-time data hire makes sense.
Last updated: September 29, 2026
- What’s here
- The people who do the data work part time, how their hours add up and get billed, and how one of them becomes your first full-time data hire.
- Covered elsewhere
- Part-time data leadership, meaning strategy, governance and someone who answers to the board, is the job of a fractional chief data officer. The order to hire a permanent team in is laid out in our guide to starting a data team.
The call usually starts with a question nobody can answer fast. How many customers bought twice last quarter? Somebody knows enough SQL to take a guess, and that somebody is an operations manager who was hired to run operations. Not to write queries.
You need data work, not a data department, at least not yet. A single full-time analyst would sit idle some weeks and drown in others, especially in the months when finance closes the quarter and every team wants numbers at once. So we staff a pod. The data analytics staffing desk at KORE1 recruits each seat, puts every person on our payroll, and bills you only for the hours they work.
The Three Seats in a Fractional Data Team
Two seats do the weekly work. The third is optional. It’s also the one people over-buy.
- Data analystTakes the questions. Builds dashboards in whatever you already pay for, whether that’s Power BI, Tableau or Looker, and sits in the meeting where the numbers get argued about. Most hours land here.
- Analytics engineerBuilds what the analyst stands on, modeling raw tables from Salesforce, HubSpot, NetSuite or Stripe into clean ones in Snowflake or BigQuery, usually in dbt, and writing the data tests that flag a failed load before the Monday report goes out wrong.
- Fractional lead optionalA senior data person, a few hours each week. Sets priorities and reviews the models. Tells you when the pod should become a team. Not an executive, though.
Why not one senior generalist? Sometimes that works. More often the generalist spends the whole first quarter building pipes and never gets to the questions, or skips the pipes, answers the questions anyway, and ends up reporting off tables that nobody ever tested. Our breakdown of analytics engineers versus analysts shows where the two jobs split.
How the Hours in a Fractional Data Team Add Up
Here’s one pod at its busiest, in hours per week. Added together it’s about one full-time person’s week, split across three skill sets instead of stretched across one.
- 2040 Data analystQuestions, dashboards and the weekly numbers meeting.
- 1540 Analytics engineerModels, tests and the loads from your SaaS tools.
- 540 Fractional lead, optionalPriorities, code review and the call on who to hire.
- 4040 One full-time weekThe hours of a single hire, three people deep.
You’re billed per seat for hours worked, at each person’s rate. No retainer. No package price. (Our part-time Salesforce admin seat bills the same way.) If the analytics engineer finishes the revenue model in week five and has less to do after that, their hours come down with it and the invoice follows the same week.
A pod can also start a lot smaller than this one, with the analyst and the engineer at ten hours a week each and no lead at all, and grow only when the questions pile up faster than the two of them can clear them. The sum makes one point. You’re paying for roughly the hours of one person, and getting three who each know their piece.
From Fractional Data Team to First Full-Time Data Hire
Pods are meant to end. Two ways, usually.
- The work settlesModels built, dashboards trusted, a few hours of upkeep left each week. The pod shrinks to one seat. Or it ends.
- One seat outgrows part timeUsually it’s the analyst, because questions multiply once people trust the answers. That person moves to your payroll through contract-to-hire, after you’ve watched them work in your data for months.
The conversion fee and its timing go in the agreement before anyone starts, so nobody is haggling over money in the same week you finally decide the person is worth keeping. If the job is permanent from day one, skip the pod and run a direct hire search instead.
Every pod member is a KORE1 employee on a W-2, not one of your independent contractors, so payroll, taxes and insurance sit with us. They work in your warehouse, your repo and your BI tool, under logins you control. And when they leave? The work stays.
92%
of KORE1 placements retained through month twelve
17 days
average to fill a KORE1 IT role
2005
the year KORE1 was founded
30+
U.S. metros covered by KORE1 recruiters
Source: why companies hire through KORE1.
What the Pod Picks Up First
Typical early work, tagged by the seat that owns it. Each card links to the desk that staffs that seat full time, if it ever comes to that.
Analytics engineer
Your first warehouse
Salesforce, NetSuite and Stripe data loaded into Snowflake or BigQuery, then modeled in dbt with tests.
Analytics engineer staffingData analyst
One dashboard people open
A single Power BI or Tableau view, built around the three questions leadership asks every week.
Power BI developer staffingData analyst
A queue for questions
One shared list for ad hoc asks, with small ones answered that week and bigger ones scoped first.
Data analyst staffingFractional lead
A plan for the next hire
What to build, what to skip, and whether your first permanent seat should be an analyst or an engineer.
Data team org chart
Common Questions
How much does a fractional data team cost?
A fractional data team costs the hours each person works multiplied by that person’s hourly rate, billed monthly with no retainer. Senior contract analytics engineers typically bill $85 to $130 an hour, and analysts usually come in lower. Quiet weeks cost less. That’s the point of hourly.
Is a fractional data team the same as a fractional CDO?
No. A fractional CDO is one executive who owns data strategy and governance, while a fractional data team is the analyst and engineer who build and run the reporting. Plenty of companies need the team long before the executive. Some need both.
How many hours does the pod work each week?
As many as the work needs, set seat by seat and reviewed every month. A small pod might run an analyst and an analytics engineer at ten hours a week each. A busy one can reach a full-time week spread across three people, and the engineering hours usually drop once the first models are built and tested and the work shifts toward answering questions.
Who employs the people on a fractional data team?
KORE1 does. Each person is on our W-2 payroll, and we run their taxes and insurance. They work inside your Snowflake account, your GitHub repo and your BI tool under logins you control, so the models and dashboards stay yours when the engagement ends.
How fast can a fractional data team start?
17 days is the KORE1 average to fill an IT role, and a two-person pod is two searches run side by side. Analysts usually come first. Fewer people have real dbt experience, so the analytics engineer can take a little longer.
Can we hire someone from the pod full time?
Yes, and it’s the most common ending. Pod members convert through contract-to-hire, with the fee and timing written into the agreement before anyone starts. By then you’ve watched the person work with your own data for months, which is a better test than an interview loop.
When is a fractional data team the wrong call?
When the work is already full time and permanent. If you have forty hours a week of questions for one analyst, hire the analyst. A pod also won’t fix pipelines that need a dedicated data engineer every day, which is a job for data engineering staff augmentation.
Send the Questions Nobody Can Answer Yet
Bring the questions that stall your Monday meeting and the tools you already pay for. That’s enough to start. You’ll hear back from a KORE1 recruiter with a pod sketched out, the hours we would start each seat at, and the names of the people we think could fill those seats for you.
Scope a Fractional Data Team →Or call 949-706-6990
