Translate broad questions into well-defined analytic approaches, including defining populations, time windows, comparison groups, and appropriate methodologies;
Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions;
Serve as a technical liaison and subject matter expert for complex analytic questions;
Recommend best courses of action based on analytic findings, tradeoffs, and business constraints;
Apply working knowledge across multiple disciplines (analytics, statistics, data engineering, business context) to create innovative solutions;
Collaborate with researchers, data scientists, reporting, and business stakeholders to define goals, success metrics, and analytic approaches;
Leverage DBT, SQL, Python and GitHub to extract, transform, and analyze large complex datasets;
Provide support for products and applications powered through dashboard and reporting services;
Process confidential data and information according to guidelines.

Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics or related field
8-10 years of relevant professional experience with SQL modeling, Data Analysis and visualizations including at least three (5) years of experience performing action and outcome-oriented data analysis
Demonstrated experience in handling large data sets and relational databases for data products
Expert-level SQL and strong python for data analysis
Excellent collaboration, communication, and stakeholder-management skills
Ability to travel up to 10% of the time
Ability to clear required background check

Senior Data Analyst

Key skills