
Finance & Operations Analyst
TripleTenDescription
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners — people with no prior tech background — through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We are looking for an Operations Analyst to support data-driven business operations, optimize reporting processes, and help scale operational workflows through spreadsheet automation and process improvements.
What you will do
- Consolidate, maintain, and reconcile people-related operational data across multiple spreadsheets, systems, and reporting sources.
- Prepare and update regular reports covering headcount, compensation, hiring, workforce planning, and other people-related metrics.
- Ensure data accuracy and consistency by identifying discrepancies, validating inputs, and maintaining reliable reporting processes.
- Partner with Finance, People Operations, and business stakeholders to support workforce planning, budgeting, and headcount tracking activities.
- Analyze large datasets to identify trends, anomalies, and opportunities for operational improvements.
- Build and maintain spreadsheet-based workflows using advanced Excel or Google Sheets functionality, including formulas, pivot tables, and automation tools.
- Identify repetitive manual processes and gradually improve them through automation, AI tools, macros, and process optimization.
- Create clear and actionable reports, dashboards, and summaries that support decision-making across the organization.
- Contribute to the development and scaling of operational reporting processes as the company continues to grow.
Requirements
- 1–3 years of experience in an analytical, operations, reporting, finance, accounting, or similar data-focused role.
- Strong proficiency in Microsoft Excel and/or Google Sheets, including formulas, pivot tables, data validation, and working with large datasets.
- Excellent attention to detail and a structured approach to working with data.
- Comfortable performing analytical tasks while maintaining a high level of accuracy.
- Strong analytical and problem-solving skills, with the ability to identify inconsistencies, investigate data issues, and ensure data quality.
- Interest in process improvement and automation; familiarity with AI tools, spreadsheet automation, macros, or workflow optimization.
- Ability to learn complex reporting processes, understand data flows, and gradually improve existing workflows.
- Strong organizational skills and a
Opens the company's application page
Listed via
Jobicy
jobicy.com
Similar roles

Accountant (Part-time)
Spectrum One
Senior Consultant / Projektmanager (m/w/d)
bachert&partner
Product Lead - Finance Super App (Australia)
Bjak
Business Analyst - Banking Regulation & Reporting (w/m/d)
BBHT Beratungsgesellschaft mbH & Co. KG
Design & Tech
Related reads from TCHNX

How Passive Data Collection is Reshaping UX Research
As users grow weary of surveys and interviews, researchers are turning to ambient behavioural signals from keystroke dynamics to micro-interactions to understand product experience without asking a single question.

Why Gen Z is Rejecting Performative Productivity
After a decade of glorifying the grind, a cultural shift is underway. Young professionals are abandoning side hustles not out of laziness, but as an act of resistance against late capitalism's demand for constant monetization.

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.