Senior Data Analyst

Responsibilities include:

• Support the planning of analytics needs with Marketing and Retail Operations functions, e.g. (SKU analysis, Buyer analysis, promotions, new product launches, CRM, customer service, retail operations etc.)
• Lead and Execute analytics related to ABO and Customer Experience, e.g. promotions, buyers, new sign-ups, migration etc.)
• Ability to connect data insights with ABO motivation via various research and secondary data studies and on-site participation of ABO activities and events.
• Proficient in data interpretation, visualization and story-telling of insights to mid to high level management stakeholders
• Lead Data Literacy training amongst business users, e.g. training on BI tools, interpreting Data definition and analysis to non-analytics peers
• Create predictive analytics models by working closely with CoE for tactical and strategic decision making in annual / long – term planning
• Extracts & analyzes business data to support strategic and tactical decision-making, to assist in long-range business planning, to evaluate the effectiveness of different organizational initiatives, and to support effective, targeted communications.
• Provide analytical & reporting support to one or more functional areas (e.g., Sales, Marketing, Legal, Finance, etc.).
• Generates ad-hoc and recurring reports & analyses to assist in tracking various aspects of business performance.

Required Knowledge, Skills and Abilities:

• Degree in Statistics, Mathematics, Business Admin, Business Analytics, Computer Science / IT
• At least 5 years of working experience in business analytics, intelligence, data reporting and analysis. Strong and solid experience in overseeing data capture and consistency issues /initiatives.
• Must be proficient in Oracle SQL & Knowledge in Tableau
• Understanding of Big Data Analysis & Machine Learning, application capability into analysis
• Requires senior level knowledge of the theoretical and applied principles of statistical and quantitative analysis, data mining, and other research methodologies
• Strong understanding of SQL along with some prior experience writing SQL queries for mining data from a data warehouse.
• Basic project management skills (e.g., requirement gathering, planning, scheduling, monitoring, cost/benefit analysis)
• Developing competency in research design and analysis
• Developing competency in statistical analysis and model building
• Excellent quantitative and analytical skills
• Excellent oral and written communication skills
• Excellent at Microsoft PowerPoint