Data Analyst

Responsibilities :

• Engage stakeholders to understand business problems and customize analytic and predictive model solutions to business needs
• Solve problems using advanced statistical techniques including, but not limited to regression/logic regression, bootstrap, factor analysis, decision tree, clustering & binning, and basket analysis.
• Conduct exploratory data profiling techniques, common summary descriptive statistics, etc.
• Develop and maintain expertise in a wide range of new technologies, methodologies, and techniques facilitating advanced research, decision sciences, and systems engineering
• Support the design and management of market and product experiments and pilots to test hypotheses or generate test and control observation data.
• Partner with Technology, Product Management, Engineering, Marketing, Sales, and Finance teams to deliver solutions for clients and into the operation.
• Build and lead a team of analysts, while initially serving as an individual contributor.
• Lead projects with moderate complexity
• Engage internal customers to understand problems and customize analytic and predictive model solutions to business needs

Qualifications :

• Bachelor's or Master's in Mathematics, Science, Statistics or related Technical field; or Equivalent related professional experience (e.g. driving significant and sustained change and performance improvement from data-driven insights)
• Demonstrates statistical competency and requires limited supervision
• Familiar with SQL, Python, or R, or any other major data analysis programming language
• Experience working in the fundamentals of big data architecture (streaming events, data lakes, analytics engines) and relational database models
• Display strong domain knowledge, business acumen, and critical reasoning skills
• Strong skills in Excel, PowerPoint, and statistical/data processing software packages and programming languages (e.g. SAS, R, SQL, SPSS, etc.)
• Mines data sets using sophisticated analytical techniques to generate insights and inform business decisions
• Identifies and tests hypotheses, ensuring statistical significance through experimental design and builds predictive models for business application, product development, etc.
• Translates quantitative analyses and findings into accessible visuals for all stakeholders and multiple audiences, and provide clear view into interpreting data
• Ability to work in and among cross functional teams