Data Analyst

We are seeking a Data Analyst to join our dynamic team. The ideal candidate is passionate about data, highly analytical, and eager to turn complex datasets into clear, actionable insights that drive business performance. This role will support both recurring and ad hoc analysis across the business, helping teams make faster, smarter decisions. We are looking for someone who is high-energy, hands-on, collaborative, and willing to dive in and “run through walls” to get things done.

Responsibilities:

• • Partner directly with management to support strategy development and execution through data-driven insights and experimentation across sales and marketing channels
• • Design and build full-cycle experiments, dashboards, and reporting frameworks that improve decision-making and business outcomes
• • Gather stakeholder requirements, deQine key success metrics, and maintain regular reporting on performance indicators
• • Identify, integrate, and help automate new data sources and pipelines to improve data availability and reliability
• • Analyze datasets to identify trends, correlations, and relationships between key business metrics
• • Ensure data practices are aligned with privacy, compliance, and governance standards
• • Help establish and maintain a single source of truth across core datasets and reporting layers
• • Ensure ongoing data integrity, consistency, and observability across all reporting systems

Quali5ications:

• • Have 2-3 years working as a data analyst, business analyst, or data engineer.
• • Strong experience using SQL to turn datasets into metrics.
• • Experience with the ELT pattern
• • Experience in managing databases, including relational database architecture, query optimization, and database schema design.
• • Empathy and creativity to understand and solve stakeholders' problems.
• • Passion for data origins, integrity, accuracy, and storytelling.

Technologies:

• • SQL Databases (Postgres, MySQL)
• • Data Studio and Tableau
• • Google Analytics
• • GCP
• • BigQuery
• • Segment CDP
• • Python Programming
• • R Studio
• Nice to haves:
• • Experience in analytics & visualization tools such as Tableau, Power BI
• • Experience with data engineering tools such as BigQuery
• • Experience with machine learning, advanced modeling, or market mix modeling
• • Experience with advanced statistics

What we offer:

• • The opportunity to work on challenging and impactful projects at the intersection of design and data.
• • A collaborative and supportive work environment, recognized as a Great Place to Work.
• • Cell phone allowance of $100
• • BeneQit package
• • Monthly parking pass reimbursed
• • Dental, and visions beneQits
• • Life insurance
• • Unlimited PTO
• • Bring your pet to work
• • Your pet insurance is covered (Up to $100)
• • 401k with Company match
• • Annual performance-based bonus