EPITEC | Data Analyst | mountain view, ca

2 weeks ago

mountain view, United States EPITEC Full time

Schedule: Hybrid - 4 days in office, Friday WFH


Summary:

The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.



KEY RESPONSIBILITES/REQUIREMENTS:


Job Responsibilities:

• Perform all duties of an analytics tool administrator including all-site tagging and configurations, audits, monitoring, custom dashboards, and user training as requested

• Run and improve regularly scheduled & ad hoc web analytics reports that contribute to impactful analysis and actionable insights.

• Develop comprehensive website tagging & tracking data capture strategies including custom analytics such as JavaScript to create events and triggers in Tag Manager while testing all tags, triggers

• Develop and execute a comprehensive web analytics data strategy to optimize UX, CX & web performance metrics

• Collaborate with Business function, Category, Product, Merch & UX teams to create and deliver analytics Reporting and Insights

• Utilize SQL to perform data analysis to extract valuable insights from large data sets like Click stream, transactional data

• Developing effective measurement frameworks and reports for non-technical audiences to enable actionable insights to improve digital marketing and customer conversion funnel

• Ensure data quality and integrity for key functions like internal mapping tables product hierarchy, Dates, Site taxonomy and Adobe classifications

• You will be responsible for designing, coordinating execution, and analyzing experiments across our digital channels (web, mobile & app).

• You will work closely with the digital strategy team, product managers, designers, developers, and marketers to optimize the user experience and drive revenue growth.

• Develop and maintain a robust A/B testing pipeline, from ideation to implementation to analysis, using best practices and industry standards.

• Define and prioritize key hypotheses, metrics, and segments for testing, and communicate the results and recommendations to stakeholders.

• Knowledge of statistical concepts and methods, such as hypothesis testing, confidence intervals, sample size calculation, and regression analysis.

• Create and present clear and compelling reports and dashboards that showcase the impact of experiments on key performance indicators.

• Generate insights for weekly business performance review

• Stay abreast of the latest trends and best practices in A/B testing, digital analytics, and user experience.


Background & Competencies Required:

• 6+ years of related experience in one or more of the functional areas: Business analytics, eCommerce or Web analytics roles

• Demonstrate strong technical expertise in Tableau/SQL and well verse with Adobe analytics

• Master’s degree in Business, Data Science or a related field

• 4+ years’ experience in ecommerce or consumer electronics industry or management consulting

• Proficient in managing enterprise-class web analytics platforms (e.g. Adobe Analytics/Omniture, DXA) expertise with Client to Web SDK migration highly valuable.

• Proficiency developing custom reports, advanced segments, and complex goals, and interpreting and presenting findings

• Strong critical thinking skills and a proactive approach to identifying opportunities for optimization and improvement.

• Strong quantitative and analytical capabilities with high proficiency in data analysis using excel, tableau preferred

• Prior experience leading small teams with the ability to engage and develop talent

• Exceptional communication skills with ability to collaborate and build effective partnerships at all levels of the organization

• Structured and process-oriented approach to solve business and operational problems with a highly agile approach

• Ability to operate seamlessly in a matrix organization and manage stakeholder across multiple lines of businesses

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