Remote Senior Data Analyst

Description:

• Tydo is building AI-powered personalization for ecommerce brands, transforming complex data into actionable intelligence to drive revenue growth for retailers.
• The Senior Data Analyst will own the entire analytics workflow, from data modeling to client-facing reports, directly impacting business decisions and product strategy.
• Responsibilities include partnering with clients to design intuitive reports, transforming complex data into clear insights, building and optimizing scalable data models using DBT, and establishing best practices for data lineage and performance.
• The role involves conducting exploratory analyses to uncover growth opportunities, advising Engineering on data integrations, and partnering with Product to scale custom solutions into features.

Requirements:

• Candidates must have 5+ years of experience in analytics, such as Data Analyst, Analytics Engineer, or Data Scientist.
• A minimum of 3+ years of hands-on experience with DBT is required.
• Expertise in SQL and cloud data warehouses like Snowflake, BigQuery, or Redshift is essential.
• Candidates should have BI expertise with modern tools, such as Metabase.
• Fluency in data modeling techniques, including Kimball, Inmon, or modern approaches, is necessary.
• A technical foundation in Python, Git, and command line is required.
• Candidates must possess business acumen to translate technical findings into strategic recommendations.
• Nice-to-haves include expertise in ecommerce metrics (CAC, LTV, AOV, conversion rates), experience with ML/predictive analytics, and an interest in hybrid work from the LA or SF office.

Benefits:

• Joining Tydo means being part of a team where your analysis directly drives growth for leading brands and shapes the product's future.
• The company values curiosity, craftsmanship, and impact, providing an environment that fosters professional growth and development.