Data Engineer (Analytics)
NavaFull Time
Junior (1 to 2 years)
Candidates should have 5+ years of experience in data analytics, forecasting, or business intelligence, with 1-2 years in a management or lead capacity. Strong analytical skills and experience with large datasets are essential.
The Data Lead will own data strategy and execution for data products, acting as a player-coach to guide a team of data analysts. Responsibilities include driving product success through accuracy and efficiency, answering investor questions using massive datasets, optimizing methodologies, testing new datasets, solving complex data problems, and improving data pipelines and workflows. The role also involves partnering with Research and Engineering teams to enhance customer value and optimize processes.
Data analysis and research services provider
YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.