Data Analyst

BlueCargo provides real-time information for trucking companies that move cargo from marine ports to first warehouses. We are building a platform that will be a one-stop shop for truckers to dispatch, schedule their workload and move containers efficiently Our startup was founded by two female entrepreneurs, graduated from Y Combinator (2018 batch), and has raised a 15 millions total. We are at the beginning of an exciting growth phase where we have already developed product-market fit, a working platform, and hundreds of daily active users. If working to bring technology to the logistics industry sounds exciting, then we’d like to connect with you! About BlueCargo BlueCargo is a fast-growing, VC-backed technology company transforming the logistics and supply chain industry. As the leader in container visibility and freight audit automation, our platform integrates fragmented data from terminals, carriers, and ports to deliver a single, intelligent interface that empowers shippers and logistics providers to make better, faster decisions. Our mission is to bring transparency, efficiency, and automation to global trade—one container at a time. Backed by Y Combinator (W18) and leading investors, we raised our Series A in 2022 and are entering an exciting growth stage. Our platform is already trusted by hundreds of active customers and is helping them eliminate millions in unnecessary freight costs each year. As we scale, we’re investing deeply in engineering leadership to evolve our architecture, expand product capabilities, and lead the industry in data-driven logistics. Why Join Now? This is a rare opportunity to shape the future of a company with strong product-market fit, a modern tech stack, and real-world impact. You’ll work alongside a mission-driven founding team (including two female YC alumni), take ownership of a fast-growing engineering org, and play a key role in building a category-defining product that powers the global supply chain. Our Tech Landscape Backend: Python / Django Frontend: JavaScript Infrastructure: AWS (Lambda, RDS, S3), CircleCI Database: PostgreSQL Team: 12 engineers + 5 in product Location: Hybrid from our HQ in Culver City, Los Angeles Backend: Python / Django Frontend: JavaScript Infrastructure: AWS (Lambda, RDS, S3), CircleCI Database: PostgreSQL Team: 12 engineers + 5 in product Location: Hybrid from our HQ in Culver City, Los Angeles Role Overview We’re hiring a Data Analyst to join our Customer Success (CS) team, working closely with Product, Data Engineering, and CS to deliver high-quality internal and customer-facing analytics. As an expert of our BI tool, Sigma, you’ll ensure data accuracy through rigorous testing and validation processes, develop impactful reports, and drive key results (KRs) to enhance customer satisfaction and retention. This role requires strong analytical skills, attention to detail, and the ability to translate business needs into actionable insights. Key Responsibilities

• Data Quality Control: Validate and QC BlueCargo’s data for accuracy, collaborating with Data Engineers to resolve discrepancies using Snowflake, DBT, and pre-release validation processes.
• Problem Solving: Collaborate with data engineers and product to solve complex customer analytics challenges.
• Customer-Facing Reporting: Build and maintain customer-facing reports and dashboards in Sigma, ensuring delivery within SLAs and customized to client needs.
• Automated Reporting: Schedule and manage automatic report delivery to clients via Sigma.
• Task Execution: Complete analytics tickets from the CS team, meeting due dates and aligning with business priorities.
• Internal Reporting: Participate in weekly CS meetings to review and iterate on internal Customer Health Reporting dashboards in Sigma.
• QBR Dashboard Development: Design and maintain QBR dashboards in Sigma to support client QBR preparation and execution. Qualifications
• Technical Skills:
• Expert-level proficiency in Sigma Computing for dashboard creation and reporting.
• Experience with Snowflake for data querying and validation.
• Familiarity with DBT for data transformation pipelines.
• Strong SQL skills for data analysis and QC.
• Experience with Linear or similar project management tools is a plus.
• Analytical Skills: Ability to translate complex business needs into clear, actionable insights and visualizations.
• Collaboration: Proven ability to work cross-functionally with Product, Data Engineering, and Customer Success teams.
• Time Management: Strong organizational skills to prioritize and deliver on Linear tickets within deadlines.
• Communication: Excellent verbal and written communication for presenting insights in weekly CS meetings and client-facing deliverables.
• Experience: 3+ years in a data analyst role, preferably in a B2B SaaS or customer-facing environment. Nice-to-Haves
• Experience in freight, logistics, or supply chain analytics.
• Knowledge of Customer Success metrics (e.g., ROI tracking, health scores). Our current tech: Stack: Python/Django (Backend), React/JS (Frontend), AWS services (Lambda, RDS, S3), PostgreSQL (Database), Node-Red, CircleCI and other continuous integration tools Team: 3 engineers