Digital & Ecommerce Insights Analyst

The incumbent will own A/ B campaign analyses projects from beginning to end, including opportunity identification, problem scoping, analysis framing/execution and synthesizing results to project stakeholders and internal leadership.

DUTIES AND RESPONSIBILITIES

• Executes identification, analysis and interpretation of trends or patterns in complex data set to identify value proposition and business
• Leverage data and analytics to provide support to marketing campaigns, UX, UI strategies
• Work efficiently with each Digital and third party teams to define, extract and synthesize available data and share insight.
• Glean actionable insights to support in-market campaign optimization
• Analyze scenarios to assess the before/after impacts of target market selection, media choice and allocation on business performance
• Executes Queries and Data cleaning etc.
• Assist with developing and measuring marketing stimuli (A/B and multi-variant) test results in collaboration with various teams to build robust marketing and e-commerce strategies.
• Design & Manage integrated analytics strategy/approach to create measurement frameworks and scorecards that synthesize large amounts of data to accurately deliver on business objectives.
• Enhance the reporting process internally through automation for data extraction and processing.
• Compile digital analysis reports, including revenue tracking, to support e-commerce efforts with actionable recommendations for optimization
• Performs other related duties as may be required by the job function.

KEY SKILLS AND REQUIREMENTS

• Excellent interpersonal and communication skills and ability to build strong relationships
• Excellent project management skills with ability to handle multiple projects simultaneously
• Strong analytical skills with experience analyzing and interpreting complex data
• Ability to work as part of a team.
• Overall passion for continuously growing knowledge and experience across digital & data analytics.

QUALIFICATIONS AND EXPERIENCE REQUIRED

• Bachelors’ degree in Mathematics, Engineering, Economics, Statistics, Computer Science, Information Management or related quantitative field
• Experience using Microsoft Excel for data manipulation, analysis, and charting.
• Experience in BI tools for reporting
• Understanding of Data Modelling
• Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint)
• Familiarity with application of statistics and experience using statistical packages for analyzing large datasets
• Knowledge of databases (SQL), programming (XML, Javascript, or ETL frameworks) would be an asset
• Programming experience and knowledge of Python and Ruby would be an asset