Fulltime Data Analyst

Department: Engineering
Location: Los Angeles, CA
Employment Type: Full-Time,

We are looking for a Senior Data Analyst to join our growing engineering team. This role will play a pivotal part in expanding and optimizing our data infrastructure. The ideal candidate will drive data-driven decisions by delivering actionable insights and developing high-quality data solutions across departments.

This is not a reporting-only role-it's a strategic position where you'll collaborate across product, business, and engineering to shape data-informed decisions and empower stakeholders with the right information, right when they need it.

• Lead full-cycle execution of data projects, including planning, stakeholder alignment, and outcome delivery.
• Build scalable data solutions and provide analytical insights that influence company strategy.
• Monitor and ensure the accuracy, performance, and integrity of data pipelines.
• Drive improvements in data source integration and enterprise data models.
• Develop and maintain data catalogs, mappings, and documentation.
• Create impactful dashboards and visualization tools for business use cases.
• Build tools to support price optimization, market gap analysis, and assortment strategies.
• Collaborate with Finance, Product, and Engineering teams to translate data into business actions.
• Conduct deep-dive analysis on customer behavior and link to business KPIs like LTV and conversions.
• Respond to ad-hoc data requests while ensuring quality and reliability.
• Use external data to enhance category planning and strategic initiatives.
• Foster a pragmatic and agile approach to analytics in a fast-paced environment.

• M.S. or Ph.D. in Statistics, Computer Science, Operations Research, or a related field
• 7+ years in data analytics or data science roles with proven business impact
• Proficiency in SQL and one or more high-level programming languages (e.g., Python, Java, Scala, C++)
• Experience with data analysis using Hive, Spark, or similar frameworks
• Strong expertise in data warehousing tools like Snowflake
• Proficient in data visualization tools such as Tableau, Looker, or Domo
• Knowledge of ecommerce, subscription billing, and payment systems is a strong plus
• Familiarity with A/B testing, multivariate regression, and statistics
• Excellent communication skills to present data-driven narratives to non-technical stakeholders
• Hands-on experience with analytics platforms such as Google Analytics, Amplitude, or Mixpanel
• Demonstrated leadership ability and collaborative team mindset
• Highly motivated with a strong sense of ownership and initiative

Thanks & Regards

Ashish Chhabra

Last Word Consulting Inc.

Ph: Ext. 423 . Direct:

Email: