Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should possess a Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have at least 3 years of experience in data engineering or a similar role. Strong analytical skills and the ability to work with massive amounts of data are essential, along with experience in data ingestion pipelines and data modeling.
As a Data Analytics Engineer, you will be responsible for running or building new data products end-to-end, maintaining centralized data ingestion pipelines, and creating clean granular data feeds to support client analysis. You will also work with internal and external stakeholders to identify and answer their key questions, contribute to data feeds and analysis, and improve existing products and data pipelines by developing new methodologies and features.
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.