Staff Data Analyst

Summary

Join Hootsuite as a Staff Data Analyst - Product and provide advanced analytical support to the product team. You will manage product data, conduct in-depth analysis of user behavior, and translate data into actionable insights to optimize product development and improve user experiences. This role directly impacts product strategies, feature prioritization, and customer retention. Hootsuite offers a flexible work arrangement, allowing for remote work or a hybrid model within Canada (Toronto, Vancouver, or remote). You will report to the Senior Manager, Analytics and leverage your expertise in advanced analytics, data visualization, and customer behavior analysis to drive product improvements and shape product decisions.

Requirements

• Extensive relevant experience within a fast-paced business environment, with specialized experience in product data and analytics
• Advanced Analytics & Statistical Methods: Ability to apply advanced statistical analysis, regression models, and predictive analytics to product data
• Data Visualization & Reporting: Strong ability to use visualization tools to translate complex product data into clear, actionable insights
• Customer Behaviour Analysis: Experience analyzing user data to understand how customers engage with the product, identifying pain points and areas for improvement
• Segmentation & Personalization: Ability to create customer segments based on product usage data and use insights to develop personalized product experiences
• Product Performance Analysis & Optimization: Deep knowledge of how to track, evaluate, and optimize product performance based on key product metrics such as engagement, retention, and feature usage
• SQL: Expertise in writing complex SQL queries to extract and manipulate marketing data from relational databases
• Python/R: Proficiency in Python or R for statistical analysis, data manipulation, and automation of reporting
• Experience working with product analytics tools like Mixpanel, Amplitude, or Heap for tracking user interactions and product feature usage
• Commitment to Results: consistently achieves results, demonstrating high performance, and challenging self and others to deliver results
• Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarification and understanding
• Problem Solving: uses an organized and logical approach to find solutions to complex problems. Looks beyond the obvious to understand the root cause of problems
• Creativity and Innovation: seeks new and better ways of doing things, generates original and imaginative ideas, products, or solutions

Responsibilities

• Lead Product Analytics Initiatives: Manage key cross-functional product analytics projects, tracking feature adoption, user engagement, and product performance. Utilize advanced statistical methods and data visualization tools (e.g., Power BI) to provide actionable insights that help refine product features and overall product strategy
• Product Performance and KPI Analysis: Analyze product KPIs such as user retention, activation rates, churn, and lifetime value. Use predictive analytics and data modeling techniques to recommend improvements in product features and user experience to drive higher engagement and satisfaction
• Collaborate on Product Attribution and Impact Analysis: Work with the product team to develop and refine models that measure the impact of product features on key outcomes, such as user retention, conversion, and revenue growth. Use multi-touch attribution models to measure how different product interactions affect overall product success
• Customer Segmentation and Personalization for Product Experience: Leverage product usage data to segment users based on behavior, demographics, and product usage patterns. Use these insights to develop personalized experiences, targeted feature rollouts, and recommendations that increase product engagement and customer satisfaction
• A/B Testing and Experimentation: Lead A/B testing and controlled experiments to assess the impact of new product features, UI changes, and other user experience improvements. Apply statistical analysis to evaluate test results and provide actionable recommendations to refine and optimize product offerings
• Forecasting and Trend Analysis: Utilize statistical models and machine learning algorithms to forecast product trends, user behaviour, and feature adoption. Provide forward-looking insights that help the product team prioritize features and plan future product roadmaps effectively
• Mentor Data Analysts within the team through hands-on coaching and training to elevate their skills and impact

Benefits

In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for remote work or a hybrid model