Data Analyst

About The Role

This position focuses on converting raw operational and product data into insightful business intelligence. The analyst will work within a modern data architecture, collaborating closely with product, engineering, and finance departments to define key performance indicators, create dependable dashboards, and perform in-depth analyses that inform strategic decisions.

The perfect candidate combines strong technical skills in SQL and data modeling with solid business insight. Responsibilities include building self-service business intelligence resources and promoting data trustworthiness across the organization.

Key Responsibilities

• Develop complex and efficient SQL queries to extract, transform, and analyze data from Snowflake and BigQuery platforms.
• Create and manage high-quality dashboards in Tableau, Looker, or PowerBI to monitor company-wide key metrics and product adoption rates.
• Collaborate with analytics engineers to specify requirements for dbt models, ensuring clean, well-organized datasets for reporting purposes.
• Conduct exploratory data analysis to detect trends, investigate anomalies in product performance, and identify growth prospects.
• Perform detailed A/B testing analyses, including sample size determination, monitoring experiment validity, and communicating statistical findings to stakeholders.
• Maintain documentation for data definitions, metric calculations, and dashboard architectures to ensure a consistent source of truth.

Candidate Profile

• Possesses 2 to 4 years of experience as a Data Analyst, Business Intelligence Analyst, or similar analytical role involving quantitative data examination.
• Expert in constructing structured, efficient SQL queries utilizing joins, window functions, and common table expressions on large datasets.
• Experienced in developing enterprise-level dashboards and semantic layers using Looker (LookML), Tableau, or Sigma.
• Knowledgeable about contemporary data stack technologies, including cloud data warehouses such as Snowflake and BigQuery, and dbt transformations.
• Understands fundamental statistical methods including experimental design, hypothesis testing, and regression analysis.
• Holds a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a comparable quantitative discipline.
• Additional advantage if skilled in Python or R for data analysis or familiar with product analytics platforms like Amplitude or Mixpanel.