Fixed-scope dashboard builds
One agreed dashboard at one agreed price, delivered end to end — sources connected, model built, visuals designed, refresh scheduled, and the whole thing handed over documented rather than described.
Power BI consultant · Boston, Cambridge & Greater New England
Power BI Consultant for Boston Science, Campus, Care and Capital Teams
Most of the money in this market arrives with a rule attached — an award budget period, an academic year, a payer contract, a fund’s fee schedule. Then the operating system that tracks the work and the ledger that books the cost disagree about which period it belongs in. We are the senior, US-based team Greater Boston operators call when those have to reconcile inside one governed model, from the Financial District and the Seaport out through Cambridge, Waltham, Burlington and the 128 belt.
Buy it as a fixed-scope dashboard build from $2,500, or as prepaid hours that never expire and start at $100 — published numbers, in a market where the going quote runs $150 to $300 an hour and usually arrives only after a discovery call. Eastern-time delivery, no retainer, no paid discovery phase. See Flex pricing.
Representative dashboard — sample data
Remote-first, senior, no lock-in
Where reporting breaks here: the period the money belongs to
Ask a finance lead in this market what their reporting problem is and the answer is almost never “we need nicer charts.” It is that two systems disagree about when something happened. A research award runs on a budget period set by the sponsor; the institution closes on a fiscal year that commonly runs July through June; the general ledger books an invoice when it arrives, which may be a quarter after the work was done. A contract research organisation bills in arrears against a milestone schedule, so committed spend and recorded spend are never the same number on the same day. A fund accrues a management fee on an average balance that the CRM knows nothing about.
None of that is exotic. It is simply the shape of money in a city whose largest employers are funded by grants, tuition, payer contracts and fee schedules rather than by invoices for goods shipped. But it means a dashboard built straight off a single export is wrong in a way nobody can see until a board meeting. The fix is unglamorous: agree the grain, write the period rules into the semantic model where they can be inspected, and make every comparison resolve against one date dimension. That is most of what we do on a first engagement here, and it is why a scoping call spends more time on calendars and accrual rules than on chart types.
We are remote-first and we book Eastern-time hours, so a definition question raised at your standup is usually settled the same morning rather than the next day. The work happens inside your own Power BI tenant, under your existing agreements, and the documentation is written as we go rather than promised at the end.
Where we start
Three ways a Greater Boston engagement usually begins
Most start one of three ways: a single fixed-scope dashboard that settles an argument the leadership meeting keeps having, a health check on an inherited Power BI estate nobody trusts, or a block of prepaid hours aimed at a reporting backlog that has outlived two analysts.
What’s included
The work that makes the operating system and the ledger agree on a period
Take one piece or the whole program. Every task is scoped in hours and approved before it starts — as a fixed-scope build or against a prepaid Flex block.
Award, fund and program-grain models
A star-schema model with one definition per metric, so spend by program, net tuition revenue and management-fee revenue mean the same thing in the board pack as they do on the operating report.
Fiscal calendars that survive a July year-end
A real date dimension carrying your fiscal periods and each sponsor’s budget periods side by side, so year-to-date, prior-year and budget-to-actual comparisons stop depending on who built the filter.
Commitments and accruals, not just actuals
Purchase orders, contracted milestones and unbilled work modelled beside the posted ledger, so burn and runway reflect what you have committed rather than only what has cleared accounts payable.
Row-level security by study, fund or department
Workspace structure, dataset certification and row-level security so a principal investigator, a department head or an outside limited partner sees only their slice while leadership still reads the whole.
Handover and enablement
Recorded walkthroughs, documented measures and named owners, so the analyst who runs this report every week can change it without waiting on us or on anyone else’s calendar.
How it works
From a free demo to a report your Monday meeting can use
- 1
Free 30-minute scoping call
Thirty minutes on Eastern time. You describe the decision the report has to support and which systems hold the data; we ask the questions that decide whether this is a two-day job or a two-week one. Nothing is billed for this.
- 2
Written scope and price
You get a written scope with a fixed hour count and price before anything starts. Approve it and work begins; walk away and you have spent nothing. Hours are only ever deducted against work you approved.
- 3
Build, review, hand over
We build inside your tenant, review it with you on a screen share, then hand over the model, the report, the documentation and a recorded walkthrough. Most focused tasks land in three to five business days.
What Greater Boston teams actually ask for on a first call
The requests arrive operational, not financial. A clinical-stage biotech wants spend and burn by program, with contracted-but-unbilled work included, because a runway figure that ignores committed milestones is optimistic by exactly the amount that matters. A university wants enrollment and net tuition revenue by program against plan, with retention beside it. A hospital system or provider group wants denials and days in accounts receivable by payer and location, on the cadence of the revenue-cycle meeting. An asset manager wants net flows and fee revenue by fund, mandate and channel, reconciled to the administrator rather than assembled from three spreadsheets. A device or robotics manufacturer out on 128 wants margin by product line once engineering changes and warranty are counted.
Different sectors, one shared shape. The table below is the map we start from on a Greater Boston scoping call — the recurring question, the systems that hold the answer, and the first dashboard we would usually build.
| Boston-area sector | The question leadership keeps asking | Where the data usually lives | Typical first dashboard |
|---|---|---|---|
| Biotech & life sciences | What has each program cost to date, what is committed but not yet invoiced, and how long does that leave us? | The accounting or ERP system, CRO and CDMO contracts and invoices, purchasing and accounts payable, the FP&A model, headcount plan | Spend and burn by program and phase, with commitments, accruals and runway against plan |
| Colleges & universities | Which programs cover their cost once financial aid and instructional load are counted? | The student information system, finance and ERP, financial aid packaging, advancement, course and section scheduling | Enrollment and net tuition revenue by program against plan, with retention and cost per credit hour |
| Hospital systems & provider groups | Are we getting paid on the schedule we planned for, and which payers are slipping? | EHR and practice-management extracts, payer remittance files, scheduling, the finance system | Denial rate and days in A/R by payer and location, alongside throughput and service-line contribution |
| Asset managers & private funds | Where did assets and fee revenue actually move this quarter, by product and by channel? | Portfolio and fund accounting systems, administrator and transfer-agent files, the CRM, the general ledger | Net flows, assets under management and fee revenue by fund, mandate and channel, with fee-rate drift |
| Medical device, robotics & precision manufacturing | Which product lines still earn margin once engineering changes, scrap and warranty are counted? | ERP and MRP, the quality and CAPA system, shop-floor and test data, the ledger | Margin by product line and customer, with on-time delivery, scrap rate and change-order impact |
If your sector is on that list, the industry pages go deeper on the metrics themselves — Power BI for higher education covers the admissions funnel, net tuition revenue and retention, denial management reporting covers denial rate, overturn rate and time to resolution, and portfolio and fund reporting covers investor-facing roll-ups. This page is about how that work is delivered to a Boston-area team on Eastern time, with the calendar and commitment questions taken seriously from the first call.
What senior help costs when the local quote starts at $150 an hour
Search for a Power BI consultancy in this market and the pattern is hard to miss: the pages that rank lead with a quote request, and where a rate is published at all it generally sits somewhere between $150 and $300 an hour. That is a legitimate way to sell a large program, and on a genuine multi-workstream engagement a scoped statement of work is the right instrument. It is also why single dashboards so often never get built. The request needs a budget line, the budget line needs a number, and the number arrives three meetings later — by which point the quarter has closed without it.
So we publish ours. Two honest caveats before the table: we are not comparing ourselves to any named local firm, and the $150–$300 band is what competing consultancies quote, not a market average we have measured. What we can state precisely is what each way of buying commits you to.
| Option | How the price is set | What you commit to | Where it fits |
|---|---|---|---|
| Regional or national consultancy | Commonly $150–$300 per hour where a rate is shown at all, and otherwise quoted as a project statement of work after a discovery call | A scoped statement of work, often with a retainer or a phased program attached | Large multi-workstream programs that genuinely need a team, a project manager and an account layer |
| Contract developer via a job board | An advertised hourly wage, before the recruiter’s margin | Onboarding, supervision and your own senior review time on top of the advertised rate | Long-running staffing gaps where you supply the design direction and the code review |
| Full-time analyst hire | Salary plus benefits, tooling and ramp-up time, in one of the more competitive analytics labour markets in the country | Months of hiring, then permanent headcount whether the backlog is full or empty | Steady, high-volume internal reporting demand that justifies a permanent seat |
| Prepaid Flex block (this practice) | $2,500 / $4,600 / $8,000 prepaid and published, from $100 per hour on the largest block | Nothing beyond the block — no retainer, no project minimum, and hours never expire | A first dashboard, a rescue, or a backlog you want cleared by one named senior engineer |
An advertised contract wage, incidentally, is not a comparable price — it excludes the recruiter’s margin, the benefits load and the senior design judgment you would still have to supply yourself. What a Power BI consultant costs per hour breaks the whole rate spectrum down, and our Power BI consulting service covers the strategy, governance and rollout side nationally.
How prepaid hours fit a grant cycle and an academic year
Two ways to buy, same engineer. A single dashboard can be quoted as a fixed-scope build: we scope it after the free 30-minute call, quote an hour count and a price, and that is what you pay. For ongoing work, prepaid Flex blocks are cheaper per hour and far more flexible — you bank hours, send tasks as they come up, and each one is scoped and approved before it draws down. Hours never expire, which matters in a market that runs on cycles rather than on a flat month: the block you buy in a quiet July is still there for the fall term, the next award period or the quarter-end reporting crunch.
| Flex block | Prepaid hours | Price (USD) | Typical fit |
|---|---|---|---|
| Starter | 20 hours | $2,500 | A first fixed-scope dashboard, a health check, or a targeted fix |
| Growth | 40 hours | $4,600 | An ongoing backlog across several reports |
| Power | 80 hours | $8,000 | A multi-report rollout at our lowest hourly rate, from $100/hour |
If what you need is capacity rather than advice, hire a Power BI developer by the hour describes engaging one named senior engineer against your own backlog. Teams weighing metros can see how the same engagement reads elsewhere — Power BI consultant Chicago, weighted to freight brokerage, food manufacturing and commercial insurance on Central time, or Power BI consultant Charlotte, on the same Eastern-time schedule and weighted to banking and precision manufacturing. The full mechanics of scoping, hour logging and what happens when a block runs low are on how it works and pricing.
Who is allowed to see which study, fund or department
Access design comes up early here, because so much of this data is either regulated or commercially sensitive. A principal investigator should see their own awards, not the department’s. Clinical and revenue-cycle reporting touches protected health information. Student records carry their own federal obligations. Investor-level detail in a fund belongs to that investor and to nobody else in the distribution list. Massachusetts also has its own standard for safeguarding personal information about state residents — 201 CMR 17.00, which requires a written information security program — so “who can see this report” is a documented decision here, not an afterthought. We design to the minimum necessary, put row-level security in Power BI (opens in new tab) around the rest, and write the access decisions down so somebody can answer for them at the next audit.
Everything is built inside your own tenant, under your existing agreements and controls, so the data never moves to us. What we will not do is make the compliance determination for you — whether a given dataset can be reported on, and by whom, stays with your team, your counsel and, where research is involved, your own review processes. We build to the rule you set, and we would much rather design that once at the start than retrofit it after a report has already been shared with sixty people.
Why award periods and indirect costs belong in the model
Research-funded organisations carry a reporting problem that most commercial dashboards never meet: the sponsor’s budget period, the institution’s fiscal year and the accounting calendar are three different clocks, and indirect cost recovery is a rule applied on top of direct spend rather than a number sitting in a column. Federal awards come with published terms on allowable costs and facilities and administrative rates — the NIH grants and funding guidance (opens in new tab) is the reference most Boston-area research finance teams work from — and the practical consequence for reporting is simple: the rule has to live in the semantic model, visible and testable, instead of in a spreadsheet formula that leaves with the analyst who wrote it.
Where those systems sit on-premises, we document the on-premises data gateway (opens in new tab) configuration properly and set scheduled refresh (opens in new tab) windows so the report is finished before the first Eastern-time meeting rather than halfway through it. Refresh failures get routed to a named person, not discovered live in a board call.
Why grain decides whether anyone trusts the model
Nearly every report we are asked to rescue is slow and distrusted for the same reason: the wrong grain was chosen early, then papered over with DAX — the Power BI formula language — for a year. An award line, a purchase order, an invoice, a student registration and a general-ledger posting are five different grains, and a model that blends them without a proper fact-and-dimension split produces numbers that are subtly wrong in ways nobody can trace. We design against Microsoft’s star schema guidance (opens in new tab), keep the period and allocation rules in the model where they can be inspected, and it is a fair thing to ask any consultant you are evaluating about — us included.
Our data modeling and DAX work covers that craft in detail, and a Power BI health check is the usual starting point when the estate you inherited is the problem. When you are ready, send us the task and we will scope it.
Typical deliverables
- A fixed-scope dashboard with refresh scheduled and documented
- A documented semantic model with agreed metric definitions
- A date dimension carrying your fiscal and award calendars
- Row-level security design for study, fund or department access
- Recorded handover walkthroughs for the people who run it weekly
Flex hours
Prepaid tiers
Starter $2,500, Growth $4,600, or Power $8,000 — from $100/hour at the largest block. Senior-led, US-based, and the hours never expire.
Who it’s for
New England teams we help most
Biotech & life sciences finance
Controllers and FP&A leads in Kendall Square, the Seaport, Watertown and along 128 who need program spend, committed CRO and CDMO work and runway computed once, from the ledger and the contracts together.
Colleges & universities
Institutional research, budget and enrollment offices across Boston, Cambridge, Worcester and the Merrimack Valley reporting enrollment, net tuition revenue and retention on a July-to-June year without a manual rebuild each term.
Hospital systems & provider groups
Revenue-cycle and operations leaders across the Longwood Medical Area and the community hospitals and practices around it, tracking denials, days in A/R and throughput by payer and location.
Asset managers & private funds
Finance and distribution teams in the Financial District and Post Office Square reporting net flows, assets under management and fee revenue by fund and channel, with limited partners seeing only their own position.
Representative perspective
“Our burn looked fine until the CRO invoices caught up, three months late. Putting commitments in the model next to actuals changed what the board was looking at.”Controller, clinical-stage biotech
Representative perspective
“Every office had its own version of enrollment because every office had its own calendar. One date table and a written definition ended a very long-running argument.”Budget director, private university
Bring the workbook that gets rebuilt every month-end
Or the burn model nobody trusts, or the enrollment report that takes a week. Thirty minutes on Eastern time is usually enough to tell you what it takes — and you get that answer, and the price, whether or not you buy anything.
FAQ
Questions from Boston-area teams
No. We would rather say that plainly than imply a Back Bay suite we do not rent. This is a US-based, remote-first practice: the work happens inside your own Power BI tenant over a screen share, booked on Eastern-time hours, and what a Boston office would cost goes into engineering hours instead.
Yes, and it is one of the more common reasons teams here call. The work is the calendar and the rule set: award budget periods rarely line up with your fiscal year, and indirect cost recovery has to be computed the same way every month. We put both in the model, not in a workbook.
Four, mostly: biotech and life sciences companies around Kendall Square, the Seaport and the 128 belt; colleges and universities across Greater Boston; hospital systems and provider groups, including those in the Longwood Medical Area; and asset managers, fund complexes and private funds in the Financial District.
Not once it is stated. A July-to-June year only causes trouble when the fiscal calendar lives in a spreadsheet column instead of a date dimension. We build a real date table with your periods in it, so year-to-date, prior-year and budget comparisons all resolve against one definition.
Because a single dashboard usually dies waiting for a number. Consultancies serving this market commonly quote somewhere between $150 and $300 an hour, and most publish nothing until after a discovery call. Our blocks are $2,500, $4,600 and $8,000, from $100 per hour, published before you call.
A focused first dashboard is typically three to five business days of build once access is in place, so most land well inside two weeks. Access and definitions set the date, not the modeling: waiting on an ERP, grants or fund-accounting credential is the usual delay, so we ask early.
You do, completely. Everything is built in your own tenant with documented measures, no proprietary layer and no licence pointing back at us. End the engagement tomorrow and your team keeps every model, report and document, along with the notes needed to maintain them without calling us.
Service area
Where else we work
Boston anchors New England in a nationwide, remote-first practice. Cambridge, Somerville, Brookline, Newton, Quincy, Waltham, Burlington, Woburn, Marlborough, Worcester and the towns along 128 and I-495 are the same engagement, as are teams in southern New Hampshire and Rhode Island. The other city pages, each weighted to the industries that dominate there:
- New York City Power BI consultant — the next stop down the Northeast corridor on the same Eastern-time schedule, weighted to finance, funds and fintech, media and agencies, and tech and SaaS teams
- Power BI consultant in Washington DC — our other Northeast-corridor page on the same Eastern-time schedule, weighted to government contractors, trade associations, grant-funded research and law firms
- Power BI consultant in Charlotte — the same Eastern-time schedule, weighted to banks and credit unions, mortgage lenders and precision manufacturing
- Power BI consultant in Atlanta — Eastern time, weighted to freight and third-party logistics, payments and fintech, and health systems
- Power BI consultant in Miami — South Florida on Eastern time, weighted to PortMiami trade, real estate, hospitality and cross-border finance
- Power BI consultant in Chicago — our Great Lakes page, weighted to freight brokerage, food and CPG manufacturing, and commercial insurance
- Power BI consultant in Dallas — Central-time delivery, weighted to corporate finance, insurance and distribution
- Power BI consultant in Austin — software, fintech and semiconductor teams in Central Texas
- Power BI consultant in Denver — Mountain-time delivery, weighted to energy, aerospace and Front Range construction
- Power BI consultant in Seattle — Pacific-time delivery, weighted to cloud software and Puget Sound trade
Try us risk-free for 4 hours
If you’re unhappy within the first 4 hours of your block, we’ll refund you in full — no questions asked. Hours are deducted only for work you’ve reviewed and approved.
Book a free demo
Get senior Power BI help, on demand
Tell us the task. We scope it, you approve, and a senior consultant delivers — typically in 3–5 business days. Prepaid hours that never expire.
- Prepaid hours from $100/hour — and they never expire
- Senior-led delivery — 20+ years on the Microsoft platform
- Typical 3–5 business day turnaround
- Full refund if you’re unhappy in your first 4 hours
The fastest way to reach us is the form — tell us the task and we'll reply within one business day.