Senior Data Analyst

About Tydo
Tydo is changing the way e-commerce brands grow by using AI to deliver personalized experiences and smarter customer segmentation. We help brands build stronger connections with their customers by offering insights and recommendations that drive better decisions at every stage of the customer journey. With a focus on innovation and simplicity, Tydo gives businesses the tools they need to grow sales, improve retention, and create impactful customer experiences.

About the Role
Our core offerings include AI data applications and bespoke reporting for our largest clients.

As a Senior Data Analyst, you will translate complex business problems into simple data models and beautiful reports. Your work will directly help drive growth for the fastest growing ecommerce brands like New Era and Buck Mason. The reports and analysis you drive will also help inform Tydo’s product roadmap as the team scales your insights and solutions.

If you’re excited by the ownership and rigor of working in a fast-paced environment, finding boring solutions to complex problems, and want to help brands grow, this role is for you.

Responsibilities

• Custom Reporting Solutions: Collaborate with client stakeholders to gather requirements and translate them into clean, simple reports.
• Data Modeling & Analysis: Develop and refine scalable data models, ensuring accuracy, extensibility, and performance across large, complex datasets.
• Contribute to Tydo’s DBT Architecture: Define, implement, and continuously improve our DBT-based modeling architecture. Develop best practices around data lineage, modeling, and testing to ensure timely, trusted data delivery.
• Data Discovery: Conduct deep-dive exploratory analyses to explore new data sources and schemas and uncover trends that drive business decisions for both clients and our internal stakeholders.
• Cross-Functional Collaboration: work with Engineering and Product teams to advise on data integrations, new data requirements, and how custom reports can be automated into new product
• Stakeholder Collaboration: Partner closely with clients to translate complex analytical findings into strategic recommendations.

Qualifications

• Experience: 5+ years in an analytics-focused role such as Data Analyst, Analytics Engineer, or Data Scientist with strong ownership over data modeling and end-to-end analytics workflows.
• DBT Expertise: 3+ years of hands-on DBT experience
• Technical Proficiency:
  • Languages & Tools: Strong SQL skills and experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift)
  • Analytics Techniques: Mastery of statistical analysis. Experience with machine learning models and predictive analytics is a plus.
  • Basic Software Skills: Python**,** Git, and command line familiarity
• Business Acumen: Comfortable collaborating with non-technical stakeholders to understand their needs, communicate complex concepts simply, and deliver analytics solutions that drive meaningful results.
• ECommerce or B2B Modeling: a deep understanding of essential metrics (e.g., CAC, LTV, AOV, conversion rates) and core business modeling like customer acquisition, retention, and inventory management
• BI Experience: experience building BI solutions for brands with modern tooling (e.g. Metabase)
• Data Modeling Mastery: Fluent in applied data modeling methodologies (Kimball, Inmon, or other modern approaches) and able to design models optimized for clarity, performance, and business value.
• Data Architecture: Experience building transformations or managing data pipelines at scale
• Adaptability & Ownership: Thrive in a dynamic, startup environment. You’re a self-starter who embraces rapid iteration, can own projects end-to-end, balances perfection with pragmatism, and delights in delivering impactful solutions quickly.

Nice-to-Haves

• Experience with building machine learning and predictive analytics models in Python
• Based in LA - our core team is in Santa Monica, CA