KNOWLEDGE & SKILLS REQUIRED

• Above average knowledge of web analytics platforms (Google Analytics, Adobe Analytics) including implementation, tagging via a tag manager, analysis via analytics platform and clickstream export
• Experience with at least one data manipulation language required; SQL, Python, etc.
• Experience using BI data tools required; Power BI, Tableau, etc.
• Deep Knowledge of business performance drivers and business P&L
• Preference given to candidates with GDPR, Consent Mode, and CCPA experience
• Understanding of marketing attribution models; first, last, data driven
• Strong skills in Microsoft Office Suite or Google Workspace and ability to tell a comprehensive story using data

QUALIFICATIONS

• Proven experience (7+ years) in Ecommerce Analytics, with a focus on industrial automation products.
• Proven experience in ecommerce and marketing analytics, with a track record of driving business impact.
• Strong leadership and collaboration skills, with the ability to influence and inspire cross-functional teams.
• Expertise in data engineering processes and requirements.
• In-depth knowledge of industry best practices in KPIs and reporting processes.
• Strategic thinking and the ability to develop and execute long-term analytical roadmaps.

EDUCATION & EXPERIENCE

• High school or equivalent preferred
• Bachelor’s degree Required, Master’s degree Preferred

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Evangelist for Data and Analytics:
  o Advocate for the strategic importance of data and analytics, fostering a culture that values and leverages data-driven insights across all departments.

o Collaborate with cross-functional teams to promote the integration of analytics into daily operations and decision-making processes.

• Primary Resource for Analytics for Ecommerce and Marketing:

o Serve as the go-to expert for ecommerce and marketing analytics, providing actionable insights to optimize performance and drive business growth.

o Develop and implement analytics strategies that align with organizational goals and drive measurable improvements in ecommerce and marketing effectiveness.

• Partnership with Data Engineering:

o Collaborate closely with data engineering teams to prioritize and define requirements for data-related work, datasets, and modeling.

o Ensure a seamless flow of data from source to analysis, addressing any bottlenecks or challenges in the data pipeline.

• Establishment of Reporting Framework:

o Design and implement a comprehensive framework for reporting and metrics across the organization, with a focus on high-level channel performance.

o Standardize reporting processes to ensure consistency and accuracy in data-driven decision-making.

• Roadmap for Analytical Organization Growth:

o Develop a strategic roadmap for the growth of the analytical organization, outlining key milestones, resource requirements, and skill development initiatives.

o Stay abreast of emerging technologies and industry trends to ensure the analytical organization remains at the forefront of innovation.

• Efficiency and Insight Identification:

o Identify efficiencies and data-driven insights that inform the organization about the health of the business and potential future opportunities.

o Proactively seek out areas for improvement in analytics processes, tools, and methodologies to enhance overall efficiency.

• Incorporation of Best Practices:

o Implement industry best practices related to key performance indicators (KPIs) and reporting processes.
o Ensure that the organization stays aligned with the latest advancements in e-commerce analytics, continually refining and adapting analytical strategies accordingly.

SUPERVISORY RESPONSIBILITIES

• None to start, with expectation of leading an analytics organization as investment warrants