eCommerce Brand Analytics Lead

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Job description

eCommerce Brand Analytics Lead Description

• The eCommerce Brand Analytics Lead possesses an expert understanding of marketing and eCommerce analytics, measurement, storytelling and strategic insight.

• She or he works cross-functionally and collaboratively, leading data and analytic integration and assessment across data sources.

• The lead also serves as a key point of contact for brand stakeholders, developing a deep understanding of the brand(s), identifying opportunities, and facilitating collaboration.

Key roles and responsibilities include:

• The lead will analyze site data and derive insights around eCommerce lines of business to provide actionable recommendations to improve overall performance.

• Work alongside other brands leads to develop meaningful insights.

• Prioritize and direct ad-hoc analysis on marketing initiatives.

• Present to top level executives on marketing spend and performance.

• Direct cross-divisional marketing performance measurement standardization and success metrics.

• Educate business partners on proper performance measurements, ensuring alignment of Key Performance Indicators and advise on how analytics can assist in directing business decisions.

• Assist in institutionalization of marketing best practices and analytic technologies.

• Drive continuous improvements and optimization through testing, measurement and analysis.

• Assist with brand tagging initiatives, implementation, best practices, and troubleshooting to ensure digital marketing efforts are measured accurately and appropriately.

Qualifications

Demonstrated Experience:

• 5+ years' experience with digital performance analytics/research

• Experience with project management and/or collaborative projects

• Deep understanding of marketing analytics, strategic insights, storytelling, data sharing and optimization

• Previous eCommerce reporting experience is preferred

• Experience in utilizing Power BI as a tool

• Strong understanding of multi-platform performance correlations and measurement

• Demonstrated thought-leadership in developing data-based strategic and tactical recommendations

• Strong presentation and problem-solving skills

• A consumer-centric, results-driven mindset - with a portfolio of achievements to back it up

Technical Skills

• Knowledge of Omniture and various other tracking services, their methodologies and applications.

• Proficiency with online and offline data

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