Please note: This is NOT a data-analytics role. We're hiring a business- and process-oriented operator with a consulting mindset who is passionate about automation and dashboarding. Youll map and improve workflows, own KPI definitions and executive reporting, and lead automation/AI pilots that eliminate manual work and enable faster, better decisions.

Job Summary:

Be the first hire in the Founder's Office and shape how the business runs at scale.

We are in a high- growth phase and are looking for a detail- oriented Senior Business Analyst (Founder's Office). The ideal candidate turns data into decisions, drives productivity and efficiency, and leads AI/automation initiatives across departments in the company. You will own our KPI stack and executive reporting, improve operational processes, and build lightweight data pipelines where necessary, while supporting the Founder's Office on high- priority projects with a consulting mindset. This is a high- visibility IC role (no direct reports) but working closely with cross-functional leadership.

Key Responsibilities:

- Work closely with the Founder to scope and execute strategic and operational initiatives.

- Own responsibilities across analytics, operations, and special projects (as needed) to unlock opportunities for White Gold.

- Innovation and New Initiatives: Identify and drive AI/automation/tech pilots that deliver measurable efficiency and accuracy gains.

- Design and maintain executive-ready dashboards and reports (Power BI/Tableau/Metabase), own the KPI catalog and data quality, and translate insights into clear, actionable recommendations for leadership.

- Expansion and Market Entry: Support diligence and execution for new geographies or channels (regulatory review, market sizing, success metrics, etc).

- Customer Experience and Satisfaction: Partner with product/ops to translate feedback and data into improvements that raise NPS/retention.

1. Analytics & Executive Reporting

- Design, develop, and maintain exec ready dashboards to track senior management KPIs.

- Ensure reports are accurate, timely, and actionable; automate repetitive reporting to improve efficiency.

2. Data Analysis & Insights

- Analyze operational/commercial data to identify trends, anomalies, and root causes.

- Translate insights into a structured recommendation (problem to options to financial/operational impact to risks), and drive the decision to closure.

- Build business cases and unit-economics models (pricing/spread sensitivity, inventory turns, payback/ROI, scenario & sensitivity analysis)

3. Stakeholder Collaboration

- Partner with Marketing, Operations, Finance, Human Resources and IT (and external consultants when needed) to understand requirements, deliver solutions and improve productivity.

- Communicate findings to technical and non technical stakeholders; enable data driven decisions across teams.

4. Process Improvement

- Map critical workflows (lead - transaction - settlement - payout) to remove bottlenecks and reduce cycle times.

- Define and track success metrics; run experiments and standardize wins.

5. Advanced Analytics, AI & Tooling

- Build impactful dashboards in Metabase/Power BI/Tableau; use SQL and Excel for analysis and modelling.

- Pilot LLM/ automation use cases with clear ROI and adoption plans.

6. Monitoring & Alerts

- Implement monitoring for key metrics (e.g., margin/spread, volume, conversion, settlement SLAs).

- Set up alerting for deviations with clear owners and response playbooks.

Required Qualifications:

- Bachelor's degree in any field from a Tier 1 college along with an MBA (Strategy/Finance/Operations).

- 3 to 5 years of experience in consulting, analytics/BI, startup ops, or investment banking

- Proficiency advanced Excel; hands on with Metabase/Power BI/Tableau/BI Tools (good to have).

- Strong analytical, problem solving, and communication skills; ability to turn ambiguity into plans and outcomes.

- Comfort working directly with senior leadership in a fast paced environment.

- Entrepreneurial mindset and bias to action; comfortable wearing multiple hats.

- Ability to balance big- picture thinking with hands- on execution.

- Adaptability, ownership, and strong written/verbal communication.

Preferred Qualifications:

- Experience in operational analytics for transaction heavy businesses (e.g., retail, logistics, fintech).

- Exposure to financial/ops reconciliation, unit economics, and light modeling (spreads, inventory turns, cash cycles).

- Experience in rolling out AI/automation (LLMs/workflow tools) with measurable impact.

- Certifications in analytics/BI (Microsoft/Tableau) or similar are a plus

- Experience in strategy / operational analytics for industries like retail, logistics, manufacturing, or others.

- Working knowledge or experience in creating reports and building dashboards.

Benefits:

- Opportunities for professional advancement and skill development.

- Supportive and collaborative work environment.

- The chance to make a significant contribution to the growth and expansion of the organization.