Business Finance Analyst

ELEVUS ‑ PEOPLE & BUSINESS RESULTS, LDA; Doha; On-site; QAR 120,000 - 180,000; Full time

Job summary

ELEVUS - PEOPLE & BUSINESS RESULTS, LDA is seeking a data analytics professional with at least 3 years of experience in finance, accounting, economics or data science to turn complex data into actionable insights. You will build queries, models and dashboards that tie to financial records and support decision making across business units.

A professional with hands‑on analytics and the ability to translate requirements into technical solutions is preferred.

Qualifications

• Bachelor's degree or equivalent with 3+ years in finance, accounting, economics, data analytics, statistics, engineering or information systems.
• At least 2 years in a role with hands-on data analysis building queries, models or dashboards.
• Part-qualified or qualified accounting or analytics certification is an advantage.

Skills

Advanced Excel

Power Query

Power Pivot

Power BI

DAX

Education

Bachelor's degree in relevant field

Tools

Power BI Desktop

Job description

Qualifications and Experience

• Bachelor's Degree or equivalent with a minimum of 3 years of job-related experience, in a finance, accounting, economics, data analytics, statistics, engineering or information systems discipline.
• At least 2 of those years in a role with demonstrable hands‑on data analysis responsibility — building queries, models or dashboards, not solely consuming them.
• Part‑qualified or qualified accountant (ACCA / CIMA / CPA / CA), or a recognised analytics certification (e.g. Microsoft PL-300 Power BI Data Analyst), is an advantage.

Job Specific Skills – Essential

• Advanced Microsoft Excel, including Power Query, Power Pivot, complex formula construction and large‑workbook performance management.
• Demonstrable working capability in Power Query / M for data extraction, transformation and load across multiple sources.
• Demonstrable working capability in Power BI: data modelling, DAX measures, report design, publishing and refresh management.

Proven ability to work with large datasets (hundreds of thousands of records and above) and to reconcile analytical output to financial records.