Excel Specialist — Build "Northstar-style" Solar Scorecard Dashboard

Only for registered members United Kingdom

1 day ago

Default job background
$200 - $0 (USD) budget
I need an Excel specialist to convert a "Northstar OS" financial plan template style into a clean solar operating plan instead that matches our internal language and metrics. · You'll be provided: · A Northstar Summary template (PDF/CSV) for reference style/layout · Our custom so ...
Job description

I need an Excel specialist to convert a "Northstar OS" financial plan template style into a clean solar operating plan instead that matches our internal language and metrics.


You'll be provided:
A Northstar Summary template (PDF/CSV) for reference style/layout

Our custom solar scorecard CSV template (already drafted)

A working draft file that shows the Northstar template structure


Your job is to make the final version look and function like the Northstar template: clean executive layout, correct formulas, correct formatting, and no spreadsheet errors.

What we're building (Solar Scorecard)


The North Star template is more generic catered to all types of business so I need you to take that and help me create a version that's catered for us with these things below instead.

Section A — Net Sales & Install Production
Net Sales (Deals Closed #)
Net Sales (EPC $)
Installs Completed (#)
Installs Scheduled (Next 30 Days) (snapshot metric)
Pre-Install Cancel Rate (%) = Pre-Install Cancels ÷ Deals Sold
Post-Install Chargeback Rate (%) = Post-Install Chargebacks ÷ Deals Sold
(must be separate columns/metrics)

Section B — Pipeline Health (Enzy)
Sets Booked (Enzy)

Sits Logged (Enzy status:
"Appointment Created")
Close Rate (%) = Deals Closed ÷ Sits Logged
Install Ratio (%) (Rolling 30D Sold → Installed)
Avg Install Cycle Time (Days) = Install Date − Sold Date (Sold date is start)

Enzy is our software for sales reps where my admin will pull the data from

Section C — Recruiting
New Setters Onboarded (#)
Active Setters (Rostered) (#)
Fired Setters (#)
Section D — Weekly Execution (Mon–Sun)
Sold (#)
Installed (#)
Schedule Changes (#) (rolled + reschedules combined)
Pre-Install Cancels (#)
Post-Install Chargebacks (#)
Required reporting format
Must include WTD / MTD / YTD columns for all flow metrics
Week runs Mon–Sun
Snapshot metrics should be labeled clearly as "As of Today" (ex: Installs Scheduled next 30 days)

Deliverables
Google Sheets version — clean, formatted, and ready to use

Excel .xlsx mirrored version

A short "How to use" note (1–2 paragraphs) describing what inputs we update weekly

Spreadsheet Requirements (important)
No broken formulas, no circular references, no hidden errors

Proper number formatting:
EPC = Currency
Rates = Percent
Counts = Whole numbers
Days = Whole numbers
Conditional formatting for variance (good vs bad)

Note:
for rates like cancels/chargebacks, "lower is better"

Clear separation of:
Inputs (manual weekly entry)
Outputs (scorecard/dashboard)


Clean Northstar-style layout:
Section bars, subheaders for WTD/MTD/YTD, spacing, alignment
Protect formula ranges (optional but preferred)

Files I will provide
Northstar PDF/CSV reference template
Solar scorecard CSV draft
Current draft file
Strong in Google Sheets and excel dashboards + formatting
Comfortable with date logic (WTD/MTD/YTD), rolling 30D calculations
Detail-obsessed (this is a leadership scorecard—errors break trust)

Timeline
Looking for a fast turnaround once you start. Please include your estimated time to completion.

To apply, answer these questions
Have you built a WTD/MTD/YTD executive scorecard before? Share 1 example (screenshot or description).
How would you define WTD when the week is Mon–Sun?
How would you handle snapshot metrics (like "Installs Scheduled next 30 days") so they don't get mixed with WTD/MTD/YTD?
Are you comfortable building this in Google Sheets (not just Excel)?
What's your approach to ensuring zero formula errors?

Contract duration of 1 to 3 months.

Mandatory skills:
Microsoft Excel, Data Analysis, Data Entry, Data Visualization, Dashboard, API Integration


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