Back to search:Senior Financial / Jakarta (south)

Job description

We are seeking a
Senior Financial Data Analyst
with a strong background in
accounting or audit
to join the Acclime Atlas team. This person will be responsible for bridging the gap between financial subject-matter expertise and data analytics—helping ensure our insights are grounded, accurate, and relevant to decision-makers.

You will work closely with local finance teams across Asia, our Group Finance team, and the Data Engineering team to design, test, and deliver high-quality financial analysis and reporting.

Key Responsibilities

  • Perform
    reconciliations between financial datasets
    , including local ledgers, invoice systems, and consolidated reports
  • Collaborate with
    local finance teams
    to verify data accuracy, resolve discrepancies, and understand business context
  • Analyse
    key financial metrics
    such as revenue, gross profit, EBITDA, cost allocations, and client profitability
  • Design and propose
    new financial metrics
    that better reflect operational realities and drive smarter decisions
  • Build and maintain
    dashboards in Power BI
    , with support from our data engineering team
  • Participate in meetings with senior stakeholders, including Group Finance and Country Heads
  • Translate analytical findings into
    clear and concise outputs
    for executive use
  • Contribute to improving
    data quality and governance practices
    within the Atlas project

Requirements
:

  • Bachelor's degree in Accounting, Finance, or related field
  • CPA / CA qualification (mandatory)
  • 4+ years of experience in accounting, audit, or FP&A roles
  • Proven experience with
    multi-entity structures
    ,
    consolidated financials
    , and
    complex intercompany relationships
  • Strong proficiency in
    Power BI
    and
    Microsoft Excel
  • Excellent
    English communication skills
    , both written and verbal
  • Confidence to work directly with
    senior finance stakeholders
    across multiple jurisdictions
  • Working knowledge of
    SQL
    for querying structured datasets (preferred)
  • Experience in
    professional services
    , shared services, or M&A environments (preferred)