Senior Marketing Analyst

Posted 17 days agoViewed

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💎 Seniority level: Senior, 4+ years

📍 Location: United States

💸 Salary: 80000.0 - 90000.0 USD per year

🏢 Company: Stio👥 101-250💰 $4,385,299 over 5 years agoLifestyle Fashion Wearables Apparel

⏳ Experience: 4+ years

🪄 Skills: SQLData AnalysisExcel VBAMicrosoft Power BIData engineeringData visualizationMarketingFinancial analysisData modelingData analyticsData management

Requirements:

4+ years of relevant experience as a marketing analyst, data analyst, or similar role
Advanced SQL skills (e.g., CTEs, window functions, and data wrangling)
Experience with cloud data warehouses (e.g., Snowflake, BigQuery), data transformation tools (e.g., dbt), and version control (e.g., GitHub)
Experience with R or Python
Advanced Excel skills (e.g., pivot tables, various lookup functions, comfortable writing efficient formulas, easily-to-follow work)
Experience as a developer with at least one BI tool (e.g., Power BI, Tableau)
History of building collaborative and trusting relationships with supported stakeholders
Experience creating presentations and communicating analysis findings to leadership (verbally, written, and visually)

Responsibilities:

Provide analytical support to the Performance Marketing team for direct response marketing spend allocation. Work with Performance Marketing and Finance teams to optimize spend and ROI given operational and financial constraints.
Lead demand-based revenue forecasting for DTC channels, working closely with Finance, Performance Marketing, Ecommerce, Retail, and Inventory Planning teams.
Operate, maintain, and improve the foundational methodology and models that enable the two critical outputs above. This includes, but is not limited to: marketing attribution, customer lifetime value, and customer acquisition. Recommend where and when to transition existing tools to other data stack components, then lead the buildout and migration.
Design and deliver other analysis projects that drive better-informed decisions across Marketing and DTC teams (and sometimes other teams as needed).
Assist in building and maintaining Stio’s data infrastructure with a focus on ownership of sources, data, and business logic in the marketing and DTC domains. Our data stack currently consists of Fivetran, Microsoft Fabric, SQL/dbt, R, GitHub, and Power BI with many marketing analytics tools built in Excel using VBA.
Improve data governance, both internal to the Data & Analytics team and external to other business users, by creating documentation for workflows and data objects.
Continuous learning to improve knowledge of technical best practices as well as knowledge of Marketing and DTC domains.

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🏢 Company: Hootsuite👥 1001-5000💰 $50,000,000 Debt Financing about 7 years ago🫂 Last layoff about 2 years agoDigital Marketing Social Media Marketing Social Media Management Apps

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Ability to apply advanced statistical analysis, regression models, and predictive analytics to marketing data.
Strong ability to use visualization tools to translate complex data into clear, actionable insights.
Experience analyzing and understanding how customers engage with marketing campaigns, using this insight to optimize marketing efforts.
Ability to create and analyze customer segments to develop personalized marketing strategies that drive engagement and conversion.
Deep knowledge of how to track, evaluate, and optimize the effectiveness of marketing campaigns based on performance data.
Expertise in attribution modeling, including multi-touch attribution, and the ability to apply insights to improve the effectiveness of marketing channels.
Expertise in writing complex SQL queries to extract and manipulate marketing data from relational databases.

💡 Responsibilities

Lead Marketing Analytics Initiatives: Manage key cross-functional analytics projects related to campaign performance, customer engagement, and marketing ROI.
Campaign Performance and KPI Analysis: Analyze key marketing KPIs, such as conversion rates, customer lifetime value, cost per acquisition, and return on marketing investment (ROMI).
Collaborate on Marketing Attribution: Work with the marketing team to develop and refine multi-touch attribution models, ensuring the team accurately measures the impact of different marketing channels (e.g., email, social media, paid search) on customer journeys and sales.
Customer Segmentation and Personalization: Analyze customer data to create detailed segments based on demographics, behavior, and purchase history.
A/B Testing and Experimentation: Lead A/B tests and experiments to evaluate the effectiveness of new marketing tactics, product features, or customer engagement strategies.
Forecasting and Trend Analysis: Utilize statistical models and machine learning algorithms to forecast trends in customer behavior and campaign performance, allowing for proactive adjustments to marketing strategies that maximize ROI.
Mentor Data Analysts within the team through hands-on coaching and training to elevate their skills and impact.

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Posted 22 days ago

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