Data Analyst (Contract Position)
Number of Positions: 1 Filled: 0 Duration: 9 months
Location: Mississauga, ON, CA
Must be eligible to work in Canada
Hybrid position 3d/w onsite in Mississauga
Roles and Responsibilities:
Working with a team of Data Scientists, Product management and Business teams to collect project requirements, identify data, build queries, develop ML models and present findings.
Coordinate data conversations with stakeholders, data sources
Explore and analyze complex datasets to identify patterns and anomalies (SQL, Python) Develop and deploy machine learning models
Work with business to understand logic
Lead data analytics process with the product team to gather insights and identify solutions
Collect, organize, analyze, and present insights.
Organize project steps and document questions, findings, processes (confluence, JIRA)
Must have qualifications and experiences:
Bachelor's degree in computer science or related technical field
4+ years of experience as a data analyst
Experience with SQL, Python, Confluence, Jira
Strong communication skills
Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized.
Strong customer focus and obsession with quality
Ability to work in a fast-paced and agile development environment
Ability to gather & document details / requirements /user stories from stakeholders for a data request
Able to identify source systems and data steward
Able to write and run SQL queries from Data Lake, Big Query, and Vendor Master as required
Validate query results to ensure it meets criteria/requirements
Stakeholder management
Experienced in JIRA, scrum ceremonies, and Agile Methodology
Strong SQL skills and experience working with large datasets
Familiarity with anomaly detection and a variety of ML models and algorithms
Excellent problem-solving skills and attention to detail
Curiosity and a passion for exploring and understanding complex datasets, As an integral member of our organization, the Data Analyst will work with a team of Data Scientists, Product management and Business teams to collect project requirements, identify data, build queries, develop ML models and present findings.