Senior Data Analyst Job at Randstad (Thornhill)

Senior Data Analyst

Randstad

Location:
Canada , Thornhill

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Reporting to the Vice President of IT, the Senior Data Analyst will serve as a highly skilled and motivated member of our team. The ideal candidate will bring 3–5 years of professional experience applying analytics, statistical modelling, and advanced data techniques to solve complex business problems. This role involves end-to-end data science work — from data gathering and preparation to advanced modelling and deployment — to deliver actionable insights and predictive capabilities. You will collaborate closely with business stakeholders, data engineers, and analysts to design, implement, and optimize data-driven solutions. A strong background in statistical analysis, data mining, linear programming/optimization, and predictive modelling is required, along with proficiency in translating data into strategic recommendations.

Job Responsibility:

Develop, implement, and maintain statistical and machine learning models to address business challenges
Conduct advanced statistical analyses, including regression, hypothesis testing, time-series forecasting, and multivariate analysis
Apply data mining and pattern recognition techniques to identify trends, anomalies, and actionable insights
Use linear programming and optimization methods to improve operational efficiency and decision-making
Collaborate with data engineering teams to ensure robust data pipelines and efficient data structures
Source, clean, and validate data from multiple internal and external sources
Ensure the integrity, accuracy, and quality of datasets used for modelling
Partner with stakeholders to understand business needs and translate them into analytical projects
Present results and recommendations clearly and concisely to technical and non-technical audiences
Research and apply new methodologies, tools, and technologies to enhance modelling capabilities
Stay current on advancements in data science, AI/ML frameworks, and best practices
Drive continuous improvement in processes, tools, and analytical frameworks

Requirements:

3–5 years of professional data science experience, including analytics, model development, and deployment in a business environment
Proven track record in predictive modelling, optimization, and statistical analysis
Strong proficiency in Python or R for statistical analysis and modelling
Solid knowledge of SQL for data querying and manipulation
Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical packages
Familiarity with optimization tools (e.g., PuLP, Gurobi, CPLEX) is highly desirable
Proficiency in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
Strong understanding of relational databases and big data platforms (e.g., Spark, Hadoop) is a plus
Exceptional problem-solving, critical thinking, and analytical skills
Strong communication skills, with the ability to explain complex concepts to diverse audiences
Collaborative team player who thrives in a fast-paced environment

Nice to have:

Familiarity with optimization tools (e.g., PuLP, Gurobi, CPLEX)
Strong understanding of relational databases and big data platforms (e.g., Spark, Hadoop)

Additional Information:

Job Posted:
January 13, 2026

Expiration:
February 06, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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