Data Analyst / BI Author

Kravet is seeking a motivated and detail-oriented Data Analyst / BI Author to join our growing technology team. This role is ideal for a recent graduate or a professional with 1–3 years of experience who is passionate about transforming complex datasets into actionable visual insights. You will support our mission to move beyond manual reporting and spreadsheet-heavy processes toward a centralized, automated Business Intelligence (BI) ecosystem. Reporting directly to the Data Analytics Manager, you will collaborate with cross-functional teams in Operations, Finance, and Sales to build dashboards that drive data-driven decision-making across the enterprise. Core Responsibilities Data Visualization & Dashboarding: Design, develop, and maintain high-impact dashboards and visualizations in Domo to monitor key performance indicators (KPIs) and business trends. Report Automation: Facilitate the transition from static custom coded reporting to automated, scheduled data streams, alleviating technical bottlenecks within the IT department. Data Stewardship: Work with data warehouses, specifically Google BigQuery, to ensure data integrity and organize "data marts" that serve specific business unit needs. Collaboration: Interview business stakeholders to document user requirements and translate them into technical specifications for new reports or system improvements. Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. 0–3 years of experience in data analysis or business intelligence roles. Proficiency in creating data visualizations; familiarity with SQL for data querying and manipulation; familiarity with Generative AI use to assist in building and/or validating queries Advanced proficiency in spreadsheet applications. Candidates with practical exposure to Domo, or comparable BI tools, and Google BigQuery or alternative cloud-based data warehouses, are highly preferred Strong verbal/written communication; ability to work independently as a self-starter. Experience in quantitative and qualitative analytical methods. Quick learner of new platforms; comfortable navigating complex database structures such as Oracle EBS R12. Capable of liaising between technical IT teams and non-technical business managers to ensure reporting meets operational goals. High level of organization and commitment to data accuracy. Strong critical thinking, problem-solving, and research skills. Ability to work independently and problem solve. Willingness to be flexible and work as part of a team.