Business Data Analytics Lead

Who are we?

Amar Bank is one of the most technologically advanced digital banks in Indonesia. Our leading

digital lending product, Tunaiku has the distinction of being the first Fin Tech product in

Indonesia. We are also the first digital bank on the cloud. As the first profitable digital bank, we

managed to get listed on the Indonesian Stock Exchange.

How did we manage to do that?

We are changing people’s perception of a bank. We believe we are the innovators who combine

customer focus principles with creating technology-based impact. We incorporate freedom and

flexibility as part of our startup working culture DNA to encourage innovation in creating better

financial solutions for the banking industry. We think of ourselves as, ‘A technology company

with a banking license’. For this reason, we ‘Act like a Fin Tech, and think like a Bank.’

How did it all start?

Founded on March 15, 1991, in Surabaya as PT Anglomas International Bank (Amin Bank), the

bank was acquired by Tolaram Group and transformed to PT Bank Amar Indonesia (Amar Bank)

in 2014. It has then undergone a significant digital transformation to become one of the

country's fore running fintech institutions through its award-winning digital lending platform,

Tunaiku.

Our philosophy, mission, and vision

Technology must impact lives, must improve lives. We exist to provide banking to those who

‘need’ and not only to those who ‘want’. Services when provided to those who need at the time

of their need brings smiles. Our vision is to bring 200 million smiles.

More about the bank with startup culture environment

Consist of 1000+ people, you will meet people who love to grow, dream big, and actually have

fun at the workplace! We provide a great working environment that pushes people to grow

outside their comfort zone. People with high drive and ambition find us a very attractive place to

work as their career growth matches their own drive and not any staid policies. Thus we hold

the honor of being awarded “Best Place to Work in Indonesia”.

Recently Amar Bank was awarded as Inspirational Brand from APEA (Asia Pacific Enterprise

Awards) 2022. Of course, our innovation won't stop here. So if you would love to be a part of it,

have a growth mindset, and are constantly hungry for challenges, we invite you to join us in our

journey to ‘Impact Lives’.

Join us today and create #unlimitedinnovations!

• Analytical Leadership & Ownership
• Act as the primary authority for analyses used in management, executive, and regulatory decision-making.
• Ensure every analysis has clear ownership, decision context, documented assumptions, and known limitations.
• Build and enforce an ownership mindset where analysts are accountable for the impact and interpretation of their insights.

• Expectation Management & Stakeholder Leadership
• Manage expectations of business users and leadership on what data can reliably answer, including scope, precision, and timelines.
• Reframe ambiguous or high-risk requests into defensible analytical questions.
• Provide clear pushback, alternatives, or mitigations when requests cannot be safely fulfilled.

• Analytical Risk Mitigation
• Identify and mitigate risks related to misleading metrics, invalid comparisons, biased data, or unstable assumptions.
• Prevent misuse or over-interpretation of analysis by clearly communicating analytical boundaries.
• Treat analytical errors and misinterpretations as decision risks, not merely technical issues.

• Team Leadership & Culture Building
• Mentor and guide data analysts to think in terms of decisions, consequences, and accountability rather than task completion.
• Establish a strong review culture focused on assumptions, judgment, and decision impact.
• Shield analysts from ad-hoc pressure and scope creep by managing escalation and alignment at the leadership level.

• Analytical Standards & Governance
• Define, maintain, and enforce consistent metric definitions and analytical standards across the organization.
• Ensure analytical outputs are interpretable, reproducible, and appropriately documented.
• Collaborate with Data Engineering and other teams on analytical meaning and definitions (not infrastructure ownership).

• Deliverables
• Clearly defined and…