Business Data Analytics Lead

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.