Business Data Analytics Lead
Team: Data Analyst
Location: Jakarta
Commitment: Full-time - Contract
Workplace Type: onsite
Responsibilities
- 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 maintained metric definitions used across key business and management reports.
- Reviewed and approved analyses that are safe, defensible, and ready for decision-making use.
- Documented assumptions, limitations, and ownership for major analyses.
- A data analyst team that demonstrates accountability, sound judgment, and confidence in their outputs.
- Reduced disputes and confusion caused by inconsistent or misunderstood data.
- Trusted analytical inputs for leadership, board-level discussions, and regulatory-facing materials.
Requirements
- Experience
- Minimum 7 years of experience in data analysis, analytics, or business intelligence roles.
- Proven experience leading, reviewing, or owning analyses used in high-impact business decisions.
- Experience in banking, financial services, lending, risk, or other regulated environments is strongly preferred.
- Technical & Analytical Skills
- Advanced SQL proficiency (BigQuery or equivalent).
- Strong understanding of data modeling concepts and analytical best practices.
- Ability to identify analytical bias, data leakage, invalid comparisons, and misinterpretation risks.
- Capable of critically reviewing analysis without reliance on owning data infrastructure or pipelines.
- Leadership & Behavioral Competencies
- Demonstrated ability to manage stakeholder expectations and push back with calm authority.
- Strong sense of personal and team accountability for analytical outcomes.
- Excellent written and verbal communication skills.
- Comfortable operating in ambiguous, high-pressure, and incomplete-data environments.
- High integrity, consistency in judgment, and willingness to take responsibility when analysis contributes to poor outcomes.
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