About this position
The Senior Manager of Data & Analytics at Envisionit will play a strategic role, bridging the gap between complex data analytics and effective marketing strategies for top fintech, CPG and destination brands. Reporting to the Head of Data & Analytics, this business-minded team player will be responsible for leading the end-to-end design & delivery of program data, measurement and testing strategies, and oversee the technology & dashboard needs required for program enablement. This role will work with internal creative, account, strategy and media team stakeholders and external clients to share data-driven insights that propel marketing initiatives, fuel business growth and make marketing investment decisioning easy.
Right-fit candidates will be effective communicators, solutions-driven and able to transform insights into actions that tell a story and improve business outcomes. Business & marketing technology acumen, data analysis and interpersonal skills are all needed to thrive in this executive-facing position.
Key Responsibilities
Foster relationships with senior stakeholders, inform business strategies, and provide regular performance metric reports of marketing campaigns
Champion innovation by staying ahead of industry trends and integrating new methodologies, tools, and approaches to deliver business results
Design and implement advanced analysis and testing methods, such as geo lift, A/B split, MVT testing, and other incremental experimentation to optimize marketing strategy execution
Analyze and interpret data across multiple marketing channels to provide critical insights for decision-making
Utilizes customer segmentation, marketing optimization, propensity modeling, churn analysis, customer lifetime value analysis and customer journey analytics to refine and sharpen our marketing campaigns
Craft visual narratives to share insights and tell stories backed by data, statistics and making them accessible for different audiences
Leads campaign reporting and post-campaign analysis, ensuring clients receive clear and actionable recommendations
Develops and implements conceptual data frameworks to enable measurement strategies across project lifecycles
Qualifications
A four-year degree with expertise in Data Science, Statistics, Mathematics, Economics or other related fields
5 - 10 years in a data science/analytics role within marketing technology or advertising companies
Expertise in technologies such as Google Analytics and Tag Manager, DSPs, ESPs, Social Media platforms, Google and Bing Ads, Salesforce, Hubspot, call analytics and other MarTech platforms & tooling
Demonstrated proficiency with data visualization, predictive modeling, customer segmentation, marketing automation, and web analytics
Experience with modern statistical learning methods, including regression techniques, and classification models
Ability to thrive in a fast-paced environment and effectively manage multiple projects while meeting deadlines
A highly collaborative, proactive, resourceful and lean-in mindset