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Finance and Accounting · Not stated

Recruitment agency · Pavago Kenya

Financial & Data Analyst

Employer not disclosed by Pavago

KenyaNot stated · RemoteDeadline not published by employerChecked 15 Oct 2026
Illustration of financial charts, a calculator and a laptop on a desk.

Published by employer

About this role

This plain-English summary was prepared by work.ke from the original advert. Confirm all details on the source before applying.

Role overview

An undisclosed employer is looking for a Financial and Data Analyst to work remotely from Kenya during U.S. business hours. This role suits someone with experience in financial analysis, business intelligence, and data analytics who enjoys working with financial models and transforming data into strategic insights.

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What you will do

  • Build and maintain financial models including 3-statement models, ROI, IRR, break-even, and forecasting models.
  • Conduct scenario, sensitivity, and variance analyses to support business and investment decisions.
  • Query and analyse large datasets using SQL to identify trends, anomalies, risks, and growth opportunities.
  • Develop scalable reporting frameworks and KPI tracking systems ensuring data consistency and accuracy.
  • Create dashboards using Power BI, Tableau, or Looker and prepare monthly reports, KPI dashboards, executive summaries, and board-level reporting.
  • Support rolling forecasts and budgeting by analysing budget versus actual performance and incorporating real-time business data.
  • Validate datasets and reporting outputs, maintain documentation on models and methodologies, and improve data quality and reporting processes.

Requirements

  • At least 2 years of experience in financial analysis, FP&A, business intelligence, or data analytics.
  • Advanced skills in Excel or Google Sheets including pivot tables, INDEX/MATCH, nested formulas, macros, and scenario modelling.
  • Strong SQL skills for querying and joining datasets.
  • Experience preparing variance analyses, management reports, and KPI dashboards.
  • Strong analytical, problem-solving, communication, and presentation skills.
  • Preferred experience with Python, R, and advanced analytics workflows.
  • Familiarity with Tableau, Power BI, Looker, and ERP systems like NetSuite, SAP, or Oracle is preferred.
  • Experience in SaaS, finance, healthcare, or professional services sectors is preferred.
  • Exposure to forecasting and strategic finance initiatives is preferred.

How to apply

Apply through the employer's official contact. The employer has not published a closing date.

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