Business Finance Analyst

PPL Dynamics; Doha; On-site; QAR 120,000 - 180,000; Full time

Job summary

PPL Dynamics in Doha, Qatar, seeks a data analytics professional with 3+ years in finance or analytics to perform hands-on data analysis, build dashboards, and ensure data accuracy across financial records.

The role requires advanced Excel, Power Query, and Power BI skills, with experience handling large datasets and reconciling analytics to financial data. ACCA/CIMA/CPA/CA or PL-300 certification is a plus.

Qualifications

• 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 years in a role with hands‑on data analysis responsibilities — 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.

Responsibilities

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

Skills

Hands-on data analysis

Data analysis

Education

Bachelor's degree or equivalent

ACCA / CIMA / CPA / CA

Power BI Data Analyst PL-300

Tools

Power Query

Power BI

Microsoft Excel

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.