Data Analyst 2
- Langley (District), BC, Canada
- Langley Office - Langley BC, Canada
$85,062.00 - $106,328.00 · Full-time
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Job details
- Pay
- $85,062.00 - $106,328.00
- Job type
- Full-time
- Apply by
- Experience
- A minimum of 3 years of professional experience in data analytics, business intelligence, or data science.
- Posting language
- English
- Posted
Original job description
Come join Pattison Food Group Ltd., a Jim Pattison business, and Canada’s largest Western-based provider of food and health products.
Pattison Food Group Ltd. is a certified Great Place to Work® and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.
We have an exciting opportunity for a full-time temporary Data Analyst 2 to join our Data & Analytics team in Langley, BC.
This temporary position is expected to last 12 months.
Reporting to the Team Lead, Data & Analytics, the Data Analyst 2 is responsible for gathering, analyzing and delivering data-driven insights to support business decisions. This person works with moderate independence, contributing to analytics projects and continuous improvement initiatives. This role works collaboratively with cross-functional stakeholders to analyze complex datasets, develop reporting solutions, and identify opportunities to improve business performance across Pattison Food Group.
You will be responsible for:
- Collaborating with business stakeholders to understand business questions, processes, and key performance indicators.
- Analyzing large and complex datasets to identify trends, patterns, and actionable business insights.
- Developing and testing hypotheses using statistical analysis and experimentation techniques, including A/B testing.
- Writing and optimizing SQL queries to extract, transform, and analyze data.
- Using Python for exploratory data analysis, data manipulation, automation, and statistical testing.
- Developing and maintaining dashboards, reports, and visualizations using Power BI to communicate insights and monitor performance.
- Working with cloud-based analytics platforms and data tools to support scalable analytics solutions.
- Identifying opportunities to improve reporting processes, data quality, and analytical workflows.
- Collaborate with data engineers, business analysts, and stakeholders on data model improvements
- Building expertise in relevant business datasets and supporting the delivery of key Data & Analytics initiatives.
- Presenting findings and recommendations to technical and non-technical stakeholders.
- Troubleshoot data issues and support production reports
You have:
- A bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative discipline.
- A minimum of 3 years of professional experience in data analytics, business intelligence, or data science.
- Advanced SQL skills, including experience querying, transforming, analyzing large datasets and performance tuning
- Strong Python programming skills for data analysis, automation, and statistical testing.
- Experience applying statistical methods, hypothesis testing, and experimental design principles.
- Knowledge of advanced analytics techniques, including forecasting, predictive modelling, and machine learning concepts.
- Experience developing dashboards and reports using Power BI, Tableau, or similar visualization tools.
- Familiarity with cloud-based data environments such as Azure, AWS, or Google Cloud.
- Experience with Databricks, Spark, or other big data technologies is considered an asset.
You are:
- An analytical thinker with strong problem-solving skills and attention to detail.
- A confident communicator who can translate complex data into clear, actionable insights for non-technical stakeholders.
- Curious and proactive in identifying trends, opportunities, and areas for improvement.
- Organized and capable of managing multiple priorities in a fast-paced environment.
- Collaborative and comfortable working with stakeholders across different business functions.
- Self-motivated, adaptable, and committed to delivering accurate, high-quality work.
What we offer:
In addition to a highly competitive salary, we offer free parking, exclusive team member offers, employee assistance and health and wellness programs and opportunities for development and career progression.
If you’re looking to join a team that puts people first, you’re in the right place. Apply online today!
IND6
Compensation Details:
$85,062.00 - $106,328.00The compensation offered for this position will take into consideration location, education, skills, experience and other factors.
More about this job
Responsibilities
The Data Analyst 2 is responsible for gathering, analyzing, and delivering data-driven insights to support business decisions across the organization. They will collaborate with stakeholders to develop reporting solutions, optimize SQL queries, and maintain dashboards to monitor business performance.
Requirements
Candidates must hold a bachelor's degree in a quantitative discipline and possess at least 3 years of professional experience in data analytics or business intelligence. Proficiency in SQL, Python, and data visualization tools like Power BI is required, along with strong statistical analysis skills.
Skills
- SQL
- Python
- Power BI
- Data analysis
- Statistical analysis
- Hypothesis testing
- Predictive modelling
- Machine learning
- Data visualization
- Business intelligence
- Forecasting
- Experimental design
- Data modeling
- Problem-solving
- Communication
Benefits
- Free parking
- Exclusive team member offers
- Employee assistance program
- Health and wellness programs
- Opportunities for development and career progression
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Retail
- Food & Beverage
Keywords
- Data Analyst
- SQL
- Python
- Power BI
- Tableau
- Azure
- AWS
- Google Cloud
- Databricks
- Spark
- Big Data
- Statistical Analysis
- Predictive Modelling
- Machine Learning
- A/B Testing
- Data Visualization
- Business Intelligence
- Data Engineering
- Reporting
- Key Performance Indicators
- Data Quality
- Forecasting
- Analytical Workflows
- Cross-functional Collaboration
- Retail
- Food and Health Products