Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams.
This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation.
Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis
Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time
Assist with research of secondary information to validate data trends
Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate
Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data
Research, suggest and implement best practices for management of market measurment data, projections, and analytics from Pyxis vast array of alternative data sources and supplemental datasets
Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members
Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database enviroments
Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods

About you

3+ years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least bachelors in mathematics, engineering, science, statistics or technical degree
Expertise working with large data sets and proficiency in SQL, Excel
Experience in Python
Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques
Excellent verbal, written, and data visualization skills
Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog
Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc)
Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus
Experience with Git and modern software development workflow is a plus
Agile way of working and tools (Jira, Confluence, Miro)

Associate - Data Ops Estimations (Data Business CoE)