Manager - Marketing Analytics

March 12

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SPARK

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📋 Description

• We are looking for a hands-on Manager, Marketing Analytics who will accelerate our marketing effectiveness through data, insights, and innovative measurement methods. • You will play a hands-on, pivotal role in driving performance optimization across all marketing channels, including but not limited to SEM, SEO, email, and affiliate networks. • You will partner with and mentor team members in their use of data, working toward the goal of making everyone more self-sufficient in their data use. • You will also play a key role in budgeting, forecasting, and modeling. • Provide future thought leadership and hands-on construction of sophisticated, insightful, and actionable attribution models. • Support a culture of testing, partnering with channel managers on A/B and multivariate tests related to content, copy, landing page, bidding, and more. • Own reporting and analytics – inclusive of meaningful dashboard creation – throughout the customer lifecycle from MMM, Multi-Touch Attribution, funnel performance, acquisition costs and customer retention. • Own and normalize data from marketing platforms including, but not limited to Meta Ads, Google Ads, and Braze. • Drive Return On Ad Spend optimization through attribution methodologies, advanced targeting and channel exploration. • Present findings and recommendations to senior leadership and stakeholders. • Stay up-to-date with industry trends, technologies, and best practices in data analysis and reporting. • Ensure data accuracy and integrity through good data practices and documentation. • Support execution excellence in the marketing team through training, tools and documentation.

🎯 Requirements

• At least 6 years of experience in marketing analytics • Degree in Marketing, Statistics, Finance, Computer Science or other relevant fields • Domain expertise in B2C marketing strategy and measurement approaches • Strong analytical and problem-solving skills • Excellent communication and presentation skills • Expertise in Python, SQL, Excel, and other data analysis tools • Extensive experience in data visualization • Experience working with marketing data, including martech, web analytics, and ad platforms • Demonstrated ability to translate business needs into analytic frameworks, including recommending suitable KPIs and translating data into recommended actions • Ability to effectively team globally, including flexibility in adjusting priorities and work hours/availability to meet team demands

🏖️ Benefits

• Medical, Dental, & Vision Insurance • Employer Paid Basic Life Insurance • 401(k) Retirement Plan & Company Match • FSA, DCA, and Commuter Benefit Plans • Company Paid Holidays • Flexible Time off

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