Group Consolidation Analyst
One holding company, eight subsidiaries in eight different sectors, one consolidated set of numbers every month — built in Power BI, not stitched in Excel.
- 2 industries · 12 questions
- No deadline — submit when your answers and files are complete
- Badge: Top 10% / Top 25% / Completed
- Typical market pay · USD 8,000–10,000 / monthIndicative only — not an offer.
- Free at every stage
The role
You own the monthly group close for a holding company with eight operating subsidiaries — trading, manufacturing, real estate, healthcare, logistics, retail, services and a captive finance arm. Each runs its own ledger and chart of accounts. Your job is one consolidated P&L, balance sheet and cash flow that the board trusts, delivered by working day 5.
- Map eight charts of accounts to one group chart; keep the mapping table, not a spreadsheet of overrides
- Intercompany eliminations — sales, loans, dividends, management fees — matched and cleared before close, not after
- One Power BI consolidation model: entity → group with drill-through to the posting entity and journal
- Minority interest, goodwill and fair-value adjustments as model logic, documented in plain English
- Month-end variance commentary drafted with AI assistance and reviewed by you — you sign it, not the tool
What we look for
- Accounting qualification (CA / ACCA / CMA / CPA) or final-stage with group reporting experience
- Power Query and DAX that survive a schema change; Excel for checks, not for the model
- Comfortable asking "does this reconcile?" before "does this look right?"
- Nice to have: SQL, a first Fabric or Python project, IFRS 10 / IFRS 18 exposure
What you'll be tested on
Two Data Dare datasets. Type an answer per question, and upload your solved Power BI file for each dataset — required, and what the reviewer reads. A Python notebook is optional and strengthens your profile. No deadline: submit when your work is complete. Datasets unlock when you apply.
DD-HLT-003
L3 Healthcare — Hospital Revenue Cycle and Service Profitability
6 questions, listed when you apply
Sample questions
- Total encounter volume
- Total billed charges
- Total direct costs
Download unlocks after you apply
About this datasetDD-RET-003
L3 Retail — Omnichannel Sales, Customer Behaviour and Commercial Risk
6 questions, listed when you apply
Sample questions
- Total net sales for the period
- Gross sales before promotions
- Total discount given away
Download unlocks after you apply
About this datasetHow we rank
Correct answers and a working model. Both count.
Every submission is reviewed. Top 10% and Top 25% get a badge you can post on LinkedIn; everyone who submits gets a Completed badge and their rank. We never publish a rank without your say-so.
Straight talk. This is a findi360 Talent Pool role: a market-real profile, not a live vacancy. Ranked profiles are what we take to employers through Corporate Solutions. We will tell you when your profile is shared and with what kind of company. No fee — ever.
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