Business Data Analytics Lead

Who are we?Amar Bank is one of the most technologically advanced digital banks in Indonesia. Our leadingdigital lending product, Tunaiku has the distinction of being the first FinTech product inIndonesia. We are also the first digital bank on the cloud. As the first profitable digital bank, wemanaged 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 combinecustomer focus principles with creating technology-based impact. We incorporate freedom andflexibility as part of our startup working culture DNA to encourage innovation in creating betterfinancial solutions for the banking industry. We think of ourselves as, ‘A technology companywith a banking license’. For this reason, we ‘Act like a FinTech, and think like a Bank.’How did it all start?Founded on March 15, 1991, in Surabaya as PT Anglomas International Bank (Amin Bank), thebank 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 thecountry's forerunning fintech institutions through its award-winning digital lending platform,Tunaiku.Our philosophy, mission, and visionTechnology 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 timeof their need brings smiles. Our vision is to bring 200 million smiles.More About The Bank With Startup Culture EnvironmentConsist of 1000+ people, you will meet people who love to grow, dream big, and actually havefun at the workplace! We provide a great working environment that pushes people to growoutside their comfort zone. People with high drive and ambition find us a very attractive place towork as their career growth matches their own drive and not any staid policies. Thus we holdthe honor of being awarded “Best Place to Work in Indonesia”.Recently Amar Bank was awarded as Inspirational Brand from APEA (Asia Pacific EnterpriseAwards) 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 ourjourney to ‘Impact Lives’.Join us today and create #unlimitedinnovations!ResponsibilitiesAnalytical Leadership & OwnershipAct as the primary authority for analyses used in management, executive, and regulatory decision-makingEnsure every analysis has clear ownership, decision context, documented assumptions, and known limitationsBuild and enforce an ownership mindset where analysts are accountable for the impact and interpretation of their insightsExpectation Management & Stakeholder LeadershipManage expectations of business users and leadership on what data can reliably answer, including scope, precision, and timelinesReframe ambiguous or high-risk requests into defensible analytical questionsProvide clear pushback, alternatives, or mitigations when requests cannot be safely fulfilledAnalytical Risk MitigationIdentify and mitigate risks related to misleading metrics, invalid comparisons, biased data, or unstable assumptionsPrevent misuse or over-interpretation of analysis by clearly communicating analytical boundariesTreat analytical errors and misinterpretations as decision risks, not merely technical issuesTeam Leadership & Culture BuildingMentor and guide data analysts to think in terms of decisions, consequences, and accountability rather than task completionEstablish a strong review culture focused on assumptions, judgment, and decision impactShield analysts from ad-hoc pressure and scope creep by managing escalation and alignment at the leadership levelAnalytical Standards & GovernanceDefine, maintain, and enforce consistent metric definitions and analytical standards across the organizationEnsure analytical outputs are interpretable, reproducible, and appropriately documentedCollaborate with Data Engineering and other teams on analytical meaning and definitions (not infrastructure ownership)DeliverablesClearly defined and maintained metric definitions used across key business and management reportsReviewed and approved analyses that are safe, defensible, and ready for decision-making useDocumented assumptions, limitations, and ownership for major analysesA data analyst team that demonstrates accountability, sound judgment, and confidence in their outputsReduced disputes and confusion caused by inconsistent or misunderstood dataTrusted analytical inputs for leadership, board-level discussions, and regulatory-facing materialsRequirementsExperienceMinimum 7 years of experience in data analysis, analytics, or business intelligence rolesProven experience leading, reviewing, or owning analyses used in high-impact business decisionsExperience in banking, financial services, lending, risk, or other regulated environments is strongly preferredTechnical & Analytical SkillsAdvanced SQL proficiency (BigQuery or equivalent)Strong understanding of data modeling concepts and analytical best practicesAbility to identify analytical bias, data leakage, invalid comparisons, and misinterpretation risksCapable of critically reviewing analysis without reliance on owning data infrastructure or pipelinesLeadership & Behavioral CompetenciesDemonstrated ability to manage stakeholder expectations and push back with calm authorityStrong sense of personal and team accountability for analytical outcomesExcellent written and verbal communication skillsComfortable operating in ambiguous, high-pressure, and incomplete-data environmentsHigh integrity, consistency in judgment, and willingness to take responsibility when analysis contributes to poor outcomesWe exist to innovate and maintain the architecture of Amar Bank's products. As part of our main focus to create through technology we ensure the process and technology we use helps maintain and build human connection at scale.It’s our job to plan, monitor, and control the technology growth so we can provide a faster, more convenient, and more efficient way of performing business transactions.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.