Data Analyst / Statistician

Role Overview

We are seeking a data-driven Data Analyst / Statistician with strong mathematical modeling skills to transform complex datasets into actionable business insights. In this role, you will lead end-to-end data extraction, statistical modeling, and dashboard creation, working closely with leadership to solve high-impact business problems.

Key Responsibilities

• Data Analysis Querying: Extract, clean, and analyze complex datasets using advanced SQL to support strategic decisions.
• Dashboarding Reporting: Build, maintain, and automate real-time executive dashboards using Power BI.
• Statistical Mathematical Modeling: Apply statistical techniques, hypothesis testing, and mathematical modeling to perform predictive analysis.
• Metrics Experimentation: Define, track, and optimize success metrics (KPIs) across products, marketing, and operations.
• Cross-Functional Collaboration: Partner with teams to translate ambiguous business challenges into analytical solutions.
• Automation AI Integration: Automate reporting workflows using Python and LLM-based AI tools (ChatGPT, Claude, Cursor).
  
  

Role Requirements

Mandatory / Must-Have Qualifications

• Educational Background: Bachelor's or Master's degree in Statistics, Mathematics, or Economics (Mandatory).
• Core Technical Stack: Advanced hands-on proficiency in SQL and Power BI (Mandatory).
• Statistical Expertise: Proven background as a Statistician with experience in mathematical modeling, probability, regression, and data forecasting.
• Preferred Technical Skills:
• Product Analytics: Hands-on experience with platforms such as Mixpanel, Amplitude, or Google Analytics (GA4).
• Programming Automation: Proficiency in Python (Pandas, NumPy, Scipy) for data manipulation, alongside Google Sheets/Excel and Google Apps Script.
• AI-Assisted Workflows: Familiarity with Agentic AI and LLM tools to accelerate coding, debugging, and data transformation.
• Additional BI Tools: Exposure to Metabase, Looker Studio, or Tableau is a plus.
  
  

Ideal Candidate

• Ownership: Ability to independently drive projects from problem definition to execution.
• Communication: Ability to explain complex statistical models to non-technical stakeholders.
• Agility: Proactive mindset and ability to thrive in a fast-paced environment.