Sr. Analyst, Growth Analytics
Shutterfly
Job Overview
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Job Description
About Shutterfly
At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.
Role Overview: Sr. Analyst, Growth Analytics
As a Sr. Analyst, Growth Analytics, you will be part of a centralized data analytics community that encourages collaborations, learning opportunities, and thought partnership from other analysts and data scientists. You will partner with Merchandising Category Business Managers and other cross-functional stakeholders to identify key metrics and attributes that contribute to profitability and growth and answer business questions while measuring the success of their strategic initiatives. You will play a key role in helping the stakeholders become a world-class data and insights-driven team.
What You Will Do
- Partner with merchandising product category business owners to provide subject matter expertise and analytics insights of past, current, and future business performance while serving as a data expert and process owner.
- Answer measurement and data integration questions: define analytics approach, retrieve, and manipulate data needed to perform analysis, and deliver actionable insights to stakeholders.
- Build and maintain domain expertise in relevant data sets and be able to think strategically about what data is critical to capture.
- Define measurement frameworks and KPIs for business performance initiatives; prototype and/or build reports; capture reporting requirements and partner with the Business Intelligence team to develop report and dashboards.
- Keep up to date with industry trends, new technologies, and best practices in data analytics.
- Build and maintain relationships with stakeholders at all levels of the organization to ensure the successful implementation of data-driven initiatives.
- Passionately drive data literacy and build a positive learning environment around analytics, data science, and data visualization topics.
The Skills You'll Bring
- Highly skilled at writing and optimizing SQL queries to analyze large data sets in a cloud database environment.
- Excellent data storyteller adept at summarizing complex data analysis into easy-to-understand visuals and presentations up to an executive level.
- A self-sufficient problem solver with the ability to think critically, understand stakeholders' needs, and develop analytics frameworks to answer often ambiguous business questions.
- Excel power user and experience building reports and dashboards in PowerBI while following data visualization best practices.
- A self-starter who takes ownership of their domain and establishes processes to organize requests into a manageable workflow.
- Great communicator who sets clear expectations and anticipates questions and concerns in advance.
- Working knowledge of key analytics principles such as randomized control experimentation, digital/web/app analytics, cohort analysis, attribution, etc.
- B.S. or M.S. degree in quantitative field and 5+ years of progressive experience in an analytical role.
Key skills/competency
- Growth Analytics
- SQL Query Optimization
- Data Storytelling
- PowerBI Dashboarding
- KPI Definition
- Stakeholder Management
- Data Literacy
- Experimentation
- Cohort Analysis
- Cloud Databases
How to Get Hired at Shutterfly
- Research Shutterfly's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to self-expression and data-driven decisions.
- Tailor your resume for analytics: Highlight your experience with SQL, PowerBI, and quantitative analysis, specifically demonstrating impact on growth and profitability using relevant keywords.
- Showcase data storytelling skills: Prepare examples of how you've translated complex data into clear, actionable insights for diverse audiences, including executive-level presentations.
- Prepare for technical challenges: Expect questions on SQL query optimization, data manipulation, and analytics principles like experimentation, cohort analysis, and attribution.
- Demonstrate problem-solving aptitude: Be ready to discuss how you've approached ambiguous business questions and developed robust analytical frameworks to deliver solutions.
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