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.