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← Companies
Datarails
Fintech / FP&A250+Tel Aviv, Israel / New York, USAFounded 2015
About Datarails
Datarails builds an AI-powered FP&A platform that lets finance teams automate reporting, forecasting and analysis while keeping their spreadsheet models.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
No sourced employee headcount or technical-staff share is available for this company yet. Vacancy counts below are never used as employee estimates.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
30
Change versus 2026-10-28.
Technical open roles
133%
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at Datarails
Coverage always uses all 3 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
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- Technologies
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- Hard mentions
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Curated company stack
Company-level metadata, kept separate from live vacancy requirements.
AIDataPythonReactCloudSecurity
Perks & Benefits
✓Finance innovation
✓Hybrid work
✓Global teams
✓Benefits
Company Details
Industry
Fintech / FP&A
Company size
250+
Headquarters
Tel Aviv, Israel / New York, USA
Founded
2015
Domain
datarails.com
Rating
—
The company activity baseline is being collected.
Open roles
3
Technical roles
1 of 3
Observed hiring change
+2 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Open roles
Vacancy history
Current role mix
1 technical · 2 other
33% of currently observed roles are technical.
3 open positions at Datarails
Showing the latest 0 here.
Employee perspectives
Reviews of Datarails
Publisher ratings on a shared 5-point scale. The overall score averages the available publishers equally.
Glassdoor
Employee ratings and reviews
Open Glassdoor to check its current rating.
DOU
A verified DOU profile is not available for this company yet.
Dated snapshots may differ from the latest source. DOU scores are converted from 100 to 5 by dividing by 20. Survey responses and written reviews are separate counts. Review text stays on the publisher’s site. Glassdoor may require sign-in.
Company monitor
Published about Datarails
Official updates and independent stories that name Datarails, with dates and source attribution. Each preview opens here first.
8 verified updatesOfficial feed monitored
View news and attention signals for Datarails →Official · datarails.com
Finance Data Governance: The Five Controls Behind Every Defensible Number
Every number finance reports has to survive one question, “where did this come from?”, and AI has just made that question much harder to answer. Finance data governance is what lets you answer it. This guide focuses on five controls: who can access financial data, which version is approved, what each metric means, where each figure came from, and who reviewed it. Controls can be scattered across locked tabs, email threads, and a controller’s memory. As data spans more systems and AI tools, finance needs a consistent way to evidence them. This guide covers the five controls, why AI raises the stakes, and how to apply shared governance to connected reports and approved AI workflows. This guide groups key finance data controls into five practical areas. Each answers a question about a reported number. Apply them within your organization’s wider control framework, including data quality, change management, and retention.
Open story →Official · datarails.com
Headcount Planning in Excel: How to Connect the Plan to Payroll Actuals
A practical guide for CFOs and FP&A leaders on connecting headcount planning in Excel with HRIS, payroll and general ledger data, tracking plan against actual by role and department, and keeping the model in the workbook the team trusts. You connect headcount planning in Excel to payroll actuals by keeping the headcount model in the workbook and linking it to three sources: the HRIS for the employee roster, payroll for actual compensation cost, and the general ledger for posted salary expense. An Excel-connected FP&A platform can refresh supported sources on a schedule and apply agreed mappings to the model’s departments and roles. Finance retains its workbook and formulas, adding position IDs, input tables, or mapping rules where needed. After each refresh is checked, the model compares plan with actuals. This article walks through why headcount drifts from plan, the data a connected headcount plan needs, the steps to set it up, and where the approach has limits. Headcount costs can move away from plan in ways that are hard to explain after the fact. The plan is built on roles, start dates, salary bands, and loaded cost assumptions. The actuals arrive as payroll runs by employee and as salary expense posted by account and cost center. Those two views rarely line up without work. The drift comes from several places at once. Start dates slip, so a role budgeted from March begins in May. Offers land above or below the salary band. Backfills for departures take longer than assumed, which creates savings that disappear when the role fills. Benefits, employer taxes, and bonus accruals change the fully loaded cost. And people move between departments mid-year, so cost shifts from one budget owner to another.
Open story →Official · datarails.com
How does FP&A software handle historical data when the chart of accounts changes?
FP&A software can compare history across a chart of accounts change by mapping old and new accounts to defined reporting views. Finance must choose whether each view reproduces approved historical reports or recasts earlier periods into the current management structure. Preserve source records and mapping versions, and reconcile the result. Comparability also depends on consistent entity scope, accounting treatment and available detail. Choose how much history to load from the comparisons your team needs, the detail available in older records and the software's import limits. Test the oldest required periods and the available dimensions before agreeing on the load scope. Keep more detailed records accessible wherever they are needed to support analysis. Decide record retention separately. Financial-statement presentation rules and tax-record requirements do not set a universal FP&A import window. Preserve required source records even when active planning reports use a shorter history, and confirm the requirements that apply to your organization. Choose both the historical range and the level of detail. Use the table to evaluate options from your enterprise resource planning (ERP) system and older records.
Open story →Official · datarails.com
Vena Alternatives: 7 FP&A Platforms Compared for 2026
Renewal is a useful time to compare Vena alternatives, particularly when costs or planning requirements have changed. Vena earned its place by keeping finance teams in Excel, and that Excel connection remains relevant when evaluating a switch. It is also why the switch is harder to think through than it looks, because nearly every serious alternative now claims to work with Excel too. The difference that matters is narrower and more practical: which parts of your existing models can be retained and which need adaptation. Here are seven platforms worth a place on the shortlist, and how that question sorts them. Vena's strengths are worth stating first. It runs planning inside Excel on top of a central database, with workflow, version control, and audit trails that turn loose spreadsheets into a governed process. It integrates tightly with Microsoft 365 and Power BI, and its 2026 releases added Planning and Reporting agents through Vena Copilot and a native financial consolidation product covering intercompany eliminations and FX translation.
Open story →Official · datarails.com
Should I fix my chart of accounts before implementing FP&A software?
You can start an FP&A (financial planning and analysis) implementation before redesigning your chart of accounts if the data can be reconciled and mapped to the reports you need. Resolve errors that affect balances, classification or comparability before relying on those reports. Account names and numbering can wait when tested mappings preserve the meaning of current and historical data. A complete chart of accounts (CoA) redesign is not always needed before FP&A implementation. What matters is whether finance can map and reconcile the data needed for the first reporting phase. Correct posting or classification problems that would make those reports unreliable. Consider an illustrative company with inconsistent account names and numbering. Renaming those accounts would not decide how they should feed the board's reports. An approved crosswalk from source accounts to reporting lines lets finance test that question separately from a wider ledger redesign. Map accounts according to their meaning, including dormant accounts that carry balances or historical activity. Similar names do not prove that two accounts belong together, and combining mappings does not remove duplicate transactions. Reconcile reporting totals and classifications before relying on the output.
Open story →Official · datarails.com
Can a small finance team own an FP&A tool without a consultant?
A small finance team can own an FP&A (financial planning and analysis) tool without a consultant if the tool lets finance make its own changes after go-live. The setup can involve the vendor. What decides ownership is the year after: whether your team adds an entity, a mapping or a report itself, or files a ticket and waits for billable hours. Ready-made FP&A templates still need company-specific data and validation. Check how the tool handles your chart of accounts (CoA), entities, departments and reporting structure, and which setup tasks your team can complete. “Out of the box” usually describes templates: a standard income statement layout, a budget-versus-actuals report, a cash flow view. Templates provide a starting point, but they still need to reflect your reporting requirements. Consider an illustrative services company with fixed-fee, time-and-materials and retainer revenue. A template with one revenue line will not automatically reproduce its management reports. Finance still needs to agree the account mappings and report structure, then reconcile the results. The template provides a starting point; the company’s reporting requirements determine the configuration.
Open story →Official · datarails.com
Can I use FP&A software if my company runs on Google Sheets?
Yes. A company that uses Google Sheets can use browser-based financial planning and analysis (FP&A) software or choose a platform that connects directly to Sheets. If you want to keep modeling in Sheets, test data refreshes, budget inputs and access controls there. Check which tasks need Excel and what recipients can see in shared files. FP&A software can work without Excel when the required workflows run in a browser or connect directly to Google Sheets. An Excel add-in may be one interface among several. Check the interface required for each person’s planning, reporting and approval tasks. Browser-based platforms give budget owners another way to enter and review plans. If the team wants to keep existing Google Sheets models, include those models in the evaluation and ask budget owners to test the proposed workflow. Illustrative example: a company introduces an Excel-dependent planning workflow while budget owners continue editing Google Sheets copies. Finance then has to determine which version contains the approved assumptions. Test the workflow with a budget owner before choosing a tool.
Open story →Official · datarails.com
SAP MCP Server: How to Connect SAP Data to Claude, ChatGPT, or Copilot
Finance teams running SAP keep hearing the same question from their own people. Can Claude just read our numbers? One option is an SAP MCP server: a standard interface through which an AI client can access authorized SAP tools and data. The right approach depends on your systems, use case, and controls. Three routes matter for finance, and the difference that counts is what the AI receives: whatever records a service exposes, or a reporting-ready figure that carries the definition finance approved. Choose an SAP MCP server route that fits your use case. SAP offers Joule Studio integrations and the generally available Integration Suite MCP Gateway for exposing existing APIs. A custom MCP server on BTP is another option; it is not required for every integration.
Open story →