Senior Analyst Customer Analytics

Are you passionate about using data to drive impactful product decisions?

We’re looking for a Senior Analyst, Customer Analytics (Marketing Programs) to be part of our Business Analytics team.

The team:

Business Analytics is part of the Strategy & Analytics team,  our internal consulting team - they’re the decision support mechanism that connects data & business insights with the rest of the organization. In essence, Business Analytics is a central function that exists to drive business outcomes in all corners of Jobber’s ecosystem.

The role: 

Reporting to the Head of Customer Analytics, the Senior Analyst, Customer Analytics  (Marketing Programs) will champion the wide range of Campaigns Analytics designed to profitably grow Jobber Subscription revenue by closely partnering with the Marketing teams and optimize the campaign performance. 

The Senior Analyst, Customer Analytics (Marketing Programs) will drive:

Business & Analytics Consulting

• Be a thorough analyst and a consultant to the Marketing teams by providing data insights and analytical solutions that would help assess the performance of the various marketing programs and initiatives 
• Collaborate with stakeholders to understand their business objectives, translate business objectives into proposed solutions (e.g. analysis, KPIs, BI, Data Science) and socialize the proposals to ensure stakeholder’ alignment & buy-in

Effective Campaigns Analytics

• Perform (hands-on) deep-dive / exploratory data analysis to drive insights and inform business decisions & recommendations 
• Develop and implement solutions to measure and optimize the impact of ongoing activities in multiple marketing teams (Events, Brand Partnerships, Lifecycle Marketing etc) 
• Design effective testing frameworks for experiments and deploy best practices for the program performance measurement  

To be successful, you should have:

• Experience with marketing campaigns analysis and hypothesis testing 
• Experience with A/B Testing methodologies and good understanding of statistical concepts 
• Expert-level SQL programming skills 
• Solid understanding of complex relational data structures
• Strong quantitative skills and experience utilizing scientific analytical methods and quantitative analysis techniques
• Preferably have prior experience with SaaS business models 
• Ability to design solutions under data & time constraints 
• Strong business acumen & ability to distill marketing optimization problems into analytical frameworks 
• Passion for storytelling using data with an ability to synthesize  complex information into simple, clear and compelling actionable insights  
• Strong communication skills with the ability to work collaboratively across multiple stakeholders 

You should also:

• Be proactive and relentless. You are comfortable seeking information independently, solving conceptual problems, corralling resources and delivering results.
• To have a strong and confident communication style. You have the ability to actively listen, empathize and consult with stakeholders, and you can take something complex and difficult and make it easy to digest.
• Be comfortable in an ambiguous and fast-paced environment. We’re growing fast and things are changing every day - what worked yesterday might not anymore.

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