
Senior Business Analyst
1 day ago
Job Summary:
Be the first hire in the Founders Office and shape how the business runs at scale.
We are in a highgrowth phase and are looking for a detailoriented Senior Business Analyst (Founders Office). The ideal candidate turns data into decisions, drives productivity and efficiency, and leads AI/automation initiatives across the company. You will own our KPI stack and executive reporting, improve operational processes, and build lightweight data pipelines where necessary, while supporting the Founders Office on highpriority 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.
- 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 execready 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 clear recommendations and followthrough to implementation.
3. Stakeholder Collaboration
- Partner with Operations, Finance, and IT (and external consultants when needed) to understand requirements and deliver solutions.
- Communicate findings to technical and nontechnical stakeholders; enable datadriven 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/RPA/automation usecases (e.g., reconciliations, triage, report generation) 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:
- Bachelors degree in Engineering, Business, Economics, Finance, Data/IT, or related field from a Tier 1 college. MBA (Strategy, Finance) is a plus.
- 3 to 5 years of experience in analytics/BI, consulting/strategy, startup ops, or investment banking
- Proficiency with SQL and advanced Excel; handson with Metabase/Power BI/Tableau/BI Tools.
- 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.
Preferred Qualifications:
- Experience in operational analytics for transactionheavy businesses (e.g., retail, logistics, fintech).
- Familiarity with ETL/data modeling concepts; Python is a plus.
- Exposure to financial/ops reconciliation, unit economics, and light modeling (spreads, inventory turns, cash cycles).
- Experience in rolling out AI/automation (LLMs/RPA/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.
- Familiarity with ETL tools and basic knowledge of databases.
- Working knowledge or experience in creating reports and building dashboards on Metabase.
- Certification in data analytics or business intelligence (e.g., Microsoft Certified, Tableau Certification).
Good to have:
- Entrepreneurial mindset and bias to action; comfortable wearing multiple hats.
- Ability to balance bigpicture thinking with handson execution.
Adaptability, ownership, and strong written/verbal communication.
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