Vice President, Analytics

3 weeks ago

Toronto, Canada Data Axle Full time

Overview:
Data Axle provides data, applications, and marketing agency services that help organizations make and save money. Our commitment to accuracy, service and innovation drive customer acquisition, retention, and product enhancement.

We are currently seeking a Vice President, Analytics to join our team. The VP, Analytics position is a senior, highly-visible, client-facing position residing on the Product team and reporting to the Chief Product Officer. Primary responsibilities include creating and developing analysis solutions, leading analyst teams and delivering actionable insight to both internal stakeholders and clients.

Responsibilities:

Lead a team that owns reporting & analysis across the entire organization, specifically supporting marketing, sales, product and our client-facing Data Axle Agency – enhancing the vision for an analysis-driven product roadmap.
Pivot between different data tools and data sets to construct a comprehensive story of performance and customer journey. This includes, but not limited to, web and mobile analytics, marketing performance & attribution, sales and retention propensity models, sales leads and opportunities, and product exhaust data.
Use Redshift (SQL), Tableau, Google Analytics, Excel and Salesforce to build informative and interactive dashboards to provide this reporting.
Provide leadership and mentorship for team analysts and clients to make informed investment choices across digital and traditional marketing channels.
Continually track, analyze and improve KPI’s related to multi-channel digital marketing programs including optimizing spend, response rates, ROI, ROAS, LTV, attribution and detailed analysis of all program elements. Construct multi-touch attribution models and build data connectors to result in usable data.
Conduct analysis and create actionable models around reorder patterns, retention trends, active customers and product usage.
Partner and interface with a variety of stakeholders to make sure analysis provided is useful and driving actionable change. Work to push the analysis forward by investigating data anomalies and highlight trends in a proactive manner.
Drive innovation by collaborating with the stakeholders to recommend, execute and measure tests on landing pages and customer apps to increase conversion and ROI.
Become the subject matter expert on all business intelligence related to sales, marketing, product and underlying data. Regularly engage with a set of executives, GM’s and VP’s in various group to stay abreast of other initiatives that may impact performance.
Create and pitch analytic plans and approaches as part of broader marketing strategies and tactics, including maintenance of analytics collateral.

Qualifications:

Bachelor’s degree in Computer Science, Math, Economics, Statistics or a related field.
10+ years’ experience in business intelligence and analytics, with specific experience building and analyzing data using Amazon Redshift, SQL, and Tableau. Experience with Google Analytics, Salesforce and Heap is nice to have along with any other programming languages.
Deep understanding of marketing KPI’s (CPL, VMD, LTV, etc.) across a variety of channels (SEO, Paid Search, Display/Programmatic, Retargeting, Video, Social) and ability to set strategy for data collection and analysis.
Understanding of basic statistical concepts such as statistical confidence and regression analysis.
Experience acting as a thought leader around the organization.
High sense of urgency and ability to work well and navigate in a matrixed environment with a growth hacking mentality.
Creativity - Can formulate ways to access data and glean insights to solve business problems - will continue to hunt until an answer is found and is always eager to learn new technologies.
Critical Mind - Can identify issues and turn them into opportunities. Can work well across multiple groups to achieve business outcomes based on insights found.
Communication - Can explain complex concepts in simple terms to a variety of internal and external audiences.

Affirmative Action/EEO Statement:

At Data Axle, we are committed to attracting, retaining, and engaging employees from all walks of life. Diversity is an important part of our values and business operations. We are dedicated to creating an inclusive environment that promotes professional development for everyone. As part of that commitment, Data Axle does not discriminate on the basis of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status with regard to public assistance, status as a disabled veteran and or Vietnam Era or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment. In addition, Data Axle will provide reasonable accommodation for otherwise qualified disabled individuals.

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