Senior Data Analyst at Tydo

About Tydo
Tydo is building personalization agents for ecommerce. Our core offerings include AI data applications and bespoke reporting for our largest clients.

Our mission is to drive revenue for retailers through deep data insights, and actionable intelligence. We believe that data, when modeled thoughtfully and presented through intuitive custom reports, enables our clients to make confident, data-driven decisions that transform their business. We're looking for a passionate data analyst who can craft bespoke reporting solutions that make complex data accessible and actionable for our diverse client base.

About the Role
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.

What You’ll Do

• 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.

Who You Are

• 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.

• 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

• 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

• Desire to work in-person (LA or SF)