OttoMate
Part-time Finance and Data Analyst | FP&A | PowerBI and SQL
Skills
1 day ago
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Important information
Contract type:
Permanent
Location:
Metro Manila, Philippines
Work mode:
Remote
Published on:
24 October 2026
What they need
Finance & Data Analyst | SQL, Power BI & FP&A
Work Setup: Remote (10-20 hours/week)
Schedule: Central European Time
We’re looking for a Finance & Data Analyst who can bridge financial analysis with hands-on data work. This role is ideal for someone with a strong finance/FP&A or accounting foundation who is also comfortable working with SQL, Excel, and modern data and reporting tools.
What you’ll do
* Pull, clean, and analyze financial and operational data from different
systems.
* Build and maintain reliable financial datasets, mappings, and reporting processes.
* Perform reconciliations against the general ledger, trial balance, bank data, and operational drivers.
* Support month-end close, financial reporting, consolidations, rolling forecasts, and cash-flow analysis.
* Investigate variances, data inconsistencies, duplicates, FX issues, and intercompany differences.
* Build and improve reporting templates, dashboards, and recurring processes.
* Translate financial data into clear insights and first-draft recommendations.
* Work closely with stakeholders to understand requirements and improve reporting workflows.
What we’re looking for
* 3–6 years of experience in accounting, audit, controlling, FP&A, financial analysis, or finance a
nalytics.
* Strong understanding of financial reporting, reconciliations, and month-end close.
* Hands-on SQL experience, including joins and aggregations; CTEs/window functions are a plus.
* Advanced Excel, including Power Query.
* Understanding of data modeling concepts such as data grain, keys, and fact/dimension tables.
* Experience with automated or scheduled data refreshes.
* Strong English communication skills.
* Highly organized, reliable, and comfortable working with deadlines.
* Ability to work with at least 6 hours of overlap with Central European working hours.
Nice to have
Experience with Power BI, Python, dbt, APIs, ERP systems, multi-entity/multi-currency environments, or an accounting qualification.
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