Data Analyst

Vancouver, BC
Hybrid
Posted Oct 28, 2026
1 position

$38–$42 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 2 days per week
Seniority: Associate
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Develop measurement plans and tracking frameworks for mobile app initiatives, validate data collection, and analyze app performance and customer behavior. Build dashboards, forecast and estimate the impact of product enhancements, and present actionable recommendations to stakeholders while collaborating with Product, Analytics, and Optimization teams.

Job details

Pay: 47-52/hr Contract Duration: 6 month contract + possible extensions Work Arrangement: hybrid 2x weekly on site in Vancouver, BC Artificial intelligence tools are used to assist in screening and assessing applicants for this position Vacancy: This posting is for a currently vacant role. Required Skills & Experience · 2+ years of experience as a Data Analyst, Digital Analyst, or similar analytics-focused role. · Strong SQL skills with experience querying and analyzing large datasets. · Hands-on experience with Google Analytics 4 (GA4). · Experience working with BigQuery. · Experience with Snowflake and Databricks. · Experience building dashboards and visualizations using Power BI. · Proven ability to perform end-to-end analysis, from business requirements gathering through insight delivery. · Strong communication skills with experience presenting to senior stakeholders. Comfortable working cross-functionally in a fast-paced environment. Nice to Have Skills & Experience · Retail, eCommerce, or consumer-facing digital product experience. · Experience supporting mobile application analytics. · Experience working within digital optimization, experimentation, or product analytics teams. Job Description Insight Global is seeking a Senior Data Analyst to join the Digital Optimization Team at one of North America's leading athletic apparel retailers. This individual will partner closely with Product Managers, Optimization Specialists, and other Analysts to support data-driven decision-making across mobile application experiences. The ideal candidate is highly analytical, comfortable working independently, and experienced in translating business questions into measurement strategies and actionable insights. A key focus of this role will be evaluating product enhancements, designing tracking requirements, analyzing user behavior, and building business cases through forecasting and estimation. Key Responsibilities Digital Measurement & Tracking Strategy · Develop and maintain measurement plans for mobile application initiatives. · Partner with Product Managers to understand proposed enhancements and determine the appropriate tracking and measurement requirements. · Design tracking frameworks that ensure the right data is collected to answer key business questions. · Validate data collection and ensure measurement accuracy. Data Analysis & Insights · Conduct end-to-end analysis of mobile application performance and customer behavior. · Perform forecasting, estimation, and impact analysis to support business cases and prioritization decisions. · Translate complex data sets into actionable recommendations for the business. · Identify trends, opportunities, and performance gaps through data analysis. Reporting & Visualization · Build and maintain dashboards and reporting solutions using Power BI. · Communicate findings and recommendations to stakeholders at all levels, including Director and VP-level leadership. · Present analysis in a clear, concise, and business-focused manner. Cross-Functional Collaboration · Work closely with Product, Analytics, and Optimization teams to support experimentation and digital optimization initiatives. · Act as a trusted advisor on measurement strategy and analytics best practices.

What you’ll do

Requirements

Requires at least two years of experience in data, digital, or similar analytics work, strong SQL skills, and hands-on experience with GA4, BigQuery, Snowflake, Databricks, and Power BI. Candidates should be able to conduct end-to-end analysis, translate business questions into measurement strategies, communicate insights to senior stakeholders, and work cross-functionally; retail, eCommerce, mobile analytics, and experimentation experience are preferred.