The Analyst position will play a key role in supporting data-driven decision making across our marketing and web product teams. This role will partner with team members and stakeholders to develop reporting, answer key questions regarding web products/marketing initiatives and provide recommendations/optimizations to continually enhance business performance. In addition, this role will support our digital marketing partners by hypothesizing, implementing, and measuring media testing initiatives. The ideal candidate enjoys working collaboratively with others to leverage a modern data stack to turn large datasets into actionable insights.
Education
• Bachelor's Degree in quantitative or computer science field
Knowledge and skills
• Good communication and presentation skills
• Experience in creating/using data visualizations to tell a narrative
• Familiarity with extracting data from data warehouses (preferred)
• Familiarity with modeling techniques (preferred)
• Familiarity with media/ad effectiveness measurement and tools (preferred)
• Familiarity with web analytics measurement (preferred)
• Familiarity with email effectiveness measurement and tools (preferred)
Technical skills
• Basic knowledge of SQL
o R or Python experience is a bonus
• Proficient with Excel/Google Sheets and PowerPoint
• Experience working with web and marketing technologies including, but not limited to, Google Analytics, Adobe Analytics, Google Ads, Meta Ads Manager, SFMC, etc. (preferred)
• Experience with data visualization platforms - Looker Studio, Power BI, Tableau, etc. (preferred)
• Experience with data warehouses - Snowflake, BigQuery, etc. (preferred)
Job experience
• Experience in a quantitative data driven field or equivalent coursework/academic projects
• Hands on experience mining large datasets in the context of marketing and/or web engagement
• Experience putting together and presenting data-focused decks
Responsibilities:
Responsibilities include, but are not limited to:
• Assist in dashboard development and maintenance through Power BI 20%
• Perform ad hoc analyses of both marketing and web performance using Snowflake, BigQuery, Power BI, FullStory and Google Analytics 50%
• Partner with stakeholders to support digital marketing testing 10%
• Support other analysts with reoccurring reporting that's distributed to the broader organization 20%