Junior Data Analyst supporting Clipwire Games' data team with analytics in a fast-paced environment. Involves SQL, BI tools, and analyzing player behavior.
Responsibilities
Maintain dashboards and reports, ensuring core product KPIs remain accurate and up to date
Write and maintain SQL queries to support regular reporting and ad hoc analysis requests
Monitor key metrics — DAU, retention, session length, conversion — and flag anomalies to senior team members
Conduct player behaviour analyses under guidance, exploring retention, progression, and monetisation funnels
Support in-game event instrumentation by helping document tracking requirements with designers and feature owners
Assist in investigating data issues, gathering relevant information and escalating findings with clear context
Create and maintain documentation on deliverables, metric definitions, and data sources
Manage personal workload effectively and communicate progress to stakeholders in a timely manner
Requirements
Foundational SQL skills - able to extract, filter, and aggregate data from relational databases
Familiarity with at least one BI or visualisation tool (Tableau, Looker, or similar)
Comfortable working with large datasets and identifying basic trends, anomalies, and patterns
Methodical approach to data validation and quality checking with strong attention to detail
Clear written and verbal communication skills, able to summarise findings in an accessible way
Proactive and eager to learn, with a genuine interest in developing technical and analytical skills
Able to manage personal workload, prioritise tasks, and escalate blockers in a timely manner
Basic understanding of mobile game metrics such as DAU, retention, and session length
Benefits
15 days holiday in addition to bank holidays to relax and refresh throughout the year - with every 5 years of service, you’ll receive an extra 5 days!
Hybrid Working: We work in the office 2 days a week, Tuesdays and Thursdays. Wednesday is an optional office day. Lunch is provided on all 3 days.
Health & Wellness: Comprehensive Medical, Dental, and Vision coverage plus a $500 a year Wellness Benefit to spend towards personal and mental development.
Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture.
Regular company events: Fun events that celebrate our achievements and our team spirit.
Continuous Professional Development: Propel your career with continuous opportunities for professional development.
Senior Data Analyst building financial models and Looker dashboards for Jane’s healthcare practice management platform. Supporting Finance and Payments with trusted revenue, billing, and transaction insights.
Senior Data Analyst building AI - enabled Tableau analytics for Sun Life, a global financial services company. Developing trusted metrics, data models, dashboards, and sales insights.
Marketing data advisor analyzing and valorizing member/client data for Desjardins, North America's largest cooperative financial group. Developing dashboards, self - service reports and recommendations for marketing decisions.
Intermediate Data Analyst transforming complex data into actionable insights for PLATO, Canada’s Indigenous - owned technology services company. Developing models, dashboards, and data management solutions with MS Dynamics and Azure.
Senior Data Analyst improving player engagement, monetization, and live operations for Big Viking Games’ YoWorld and FishWorld. Building SQL - driven dashboards and insights for product and business decisions.
Senior data analyst generating client acquisition insights for Sun Life, a global financial security and health company. Building KPIs, dashboards, forecasts, and automated analytics to improve lead conversion and client growth.
Data Analyst converting business data into actionable insights for StarTech.com, a global tech connectivity solutions provider. Building models, dashboards, and reports across product, inventory, revenue, customer, and marketing analytics.