Constructor is a U.S.-based, high-growth tech company building the next-generation search and discovery platform for e-commerce. The Merchant Intelligence Team focuses on empowering merchandisers by delivering actionable analytics and insights through the customer dashboard. Your work will enhance the dashboard experience, support real-time analytics, and influence merchandising decisions that improve key e-commerce KPIs. You will collaborate with product research, engineering, and customer interviews to iterate on prototypes, build end-to-end data pipelines, and turn vast data into practical insights for non-technical stakeholders.
Originally published on getonbrd.com.
As a Data Analyst on the Merchant Intelligence Team, you will translate business questions into analytical solutions that drive measurable outcomes for merchandisers and product teams. You will:
We are seeking a data-savvy analyst who thrives at the intersection of data, product, and business impact. You should be proficient in BI tools, capable of turning raw data into meaningful insights for both engineers and non-technical stakeholders, and comfortable working with large data sets in a fast-paced environment. You will translate business requests into technical requirements, explore data to uncover trends, and build dashboards that empower merchandisers to optimize e-commerce performance. A strong communicator who can balance rigorous analysis with pragmatic recommendations will excel in this role.
Required experience includes SQL proficiency, exploratory data analysis with Python (pandas, numpy, visualization libraries), familiarity with the big data stack (Spark, Hive, Databricks), and experience delivering analytical support for e-commerce initiatives. The role emphasizes collaboration, customer-focused problem solving, and the ability to report business performance effectively at a cross-functional level. A background in statistics and a passion for data-driven decision making are highly valued.
Experience with data visualization and dashboarding for both technical and non-technical audiences; strong storytelling with data; experience in product analytics and understanding of e-commerce funnels; familiarity with ClickHouse, cube.js, Docker, Git; comfort with rapid prototyping and stakeholder communication; curiosity about customer behavior and product optimization; statistical mindset for hypothesis testing and experimentation; ability to work independently in a remote, fast-growing organization.
We offer a fully remote team with a focus on work-life balance, including unlimited vacation with a recommended minimum, a home office stipend, and Apple laptops for new employees. We provide a dedicated training and development budget, generous parental leave, and a collaborative environment with opportunities for professional growth. The base salary ranges from $80k to $120k USD, with variation based on knowledge, experience, and interview results. We also host regular team offsites and support a diverse, inclusive workplace.
GETONBRD Job ID: 56081
Fully remote
Candidates can reside anywhere in the world.