Product Analyst II

Optimum•Toronto, ON

6d•$107,957 - $177,358

About The Position

We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is no longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. The Product Development organization is responsible for the technology enablement and development of these technologies for our customers along with the tools used by our teams to support them. The Product Analyst II team member will join a rapidly growing Product Operations team focused on delivering exceptional customer experiences through optimization of our product quality and operational processes. A successful candidate will contribute to the development of the data pipeline for our products that will enable them to build the dashboards, KPIs and automation that will allow us to deliver unparalleled connectivity experiences.

Requirements

Minimum 3-5 years of experience in product analytics, data analysis or similar role.
Bachelor’s degree in Data science, Statistics or Computer Science
Proficiency in data visualization tools like Tableau or Power BI.
Strong skills in analyzing large data sets using SQL or similar languages.
Experience with programming languages such as Python or R for advanced analytics.
Familiarity with A/B testing framework and methodologies.
Effective communication and presentation skills, with the ability to convey data insights.
Ability to define and measure key performance indicators aligned with business goals.
Experience with product delivery tools like Jira and Confluence.
Demonstrated experience solving performance and data issues by applying experience/knowledge.
Contributes to operational insights that inform product strategies and decision-making.
Familiarity with metrics like customer acquisition, retention, engagement and churn, particularly as they relate to product performance.
Focus on customer feedback, ensuring that products meet user expectations and customer satisfaction.

Nice To Haves

Knowledge of web and mobile analytics tools.
Experience working with event tracking systems and tagging implementations.
Strong statistical analysis and hypothesis testing skills.
Background in quality assurance or testing and validation processes.
Experience conducting user testing and gathering feedback to improve the user experience.
Understanding of data modeling and interpreting large data sets to generate actionable insights.

Responsibilities

Develop and maintain dashboards to monitor product performance and key metrics.
Collaborate with product managers, designers and engineers to define and track product success metrics.
Analyze user behavior to identify trends, pain points and opportunities for improvement.
Contribute to the development of the data pipeline for product telemetry.
Manage and improve data collection processes to ensure data quality and consistency.
Translate data insights into actionable recommendations for product development and growth.
Provide ad-hoc analysis to support decision making for cross-functional teams.
Identify and communicate opportunities for improving product adoption and retention.
Monitor and analyze funnels to optimize conversion rates and reduce drop-offs.
Work with engineering to ensure accurate tracking and tagging of product events.
Enable exceptional customer experiences for our IP Video Services offered to B2C and B2B customers.
Identify and implement improvements to improve customer communication and reduce contact rates.
Establish a feedback loop with internal/external stakeholders to drive continuous improvement.
Ensure rigorous testing and validation processes to maintain high product quality and reliability.
Plan and execute product launches, ensuring seamless coordination with all relevant teams.
Introduce capabilities to do effective A/B testing of releases across test populations.
Provide training and support to team members on best practices, data tools and processes.
Drive innovation by identifying implementing new tools, technologies and methodologies.
Provide regular updates to stakeholders on product operations, performance and strategic initiatives.