Job Description:

Data Analyst Intern

Cloud Data Platforms (AWS, Azure, Snowflake, Databricks)

About the Internship

We are seeking a Data Analyst Intern to support our data and analytics initiatives across AWS and Azure cloud platforms. This role is ideal for a student eager to gain hands‑on experience with data lakes, data warehouses, and scalable analytics platforms, including Snowflake and/or Databricks.

You will work alongside experienced Software R&D team members on analyzing customer data and implementing ML algorithms to transform system and application data into actionable business insights, with opportunities to support machine learning model development and deployment.

Compensation & Role Details:

Expected Salary Range: The base hourly rate for this role is expected to be between $20–$23 CAD, depending on experience and qualifications.

Role Type: New Role

AI Disclosure: AI may be used during the hiring process.

What You’ll Do

• Assist with ingesting, transforming, and validating data in cloud-based data lakes and warehouses

• Support ETL / ELT pipelines using SQL, Python, R, and/or Scala

• Work with Snowflake to build analytical tables and views

• Use Databricks (Spark / PySpark / SQL) for data processing and exploratory analysis

• Analyze datasets to identify trends, patterns, and business insights

• Assist with data preparation, feature engineering, and evaluation for ML use cases

• Support basic ML workflows such as batch inference, experiments, or model monitoring

• Monitor data pipelines, investigate issues, and document findings

• Follow best practices for data security, governance, and cloud access controls

Required Qualifications

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Engineering, AI, or a related field

• Strong foundational knowledge of SQL

• Experience with Python for data analysis or scripting

• Understanding of core data concepts (tables, joins, aggregations, schemas)

• Introductory knowledge of machine learning concepts

• Strong analytical skills and attention to detail

• Clear communication skills and ability to document work

Nice to Have

• Exposure to AWS (S3, Glue, Athena) or Azure (Data Factory, Synapse, ADLS)

• Familiarity with Snowflake, Databricks, or Apache Spark

• Experience with notebooks (Jupyter), Git, or cloud-based data projects

• Interest in data engineering, analytics engineering, or ML engineering careers

What You’ll Gain

• Hands‑on experience with production cloud data platforms

• Exposure to Snowflake and Databricks in real-world use cases

• Mentorship from experienced data and machine learning engineers

• Practical understanding of the full data lifecycle—from ingestion to insights to ML

• A strong foundation for a career in Data Engineering or Machine Learning Engineering

Business Unit:

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More About Jonas Software:

Jonas Software is a leading provider of enterprise management software solutions, serving a wide range of vertical markets including hospitality, healthcare, construction, education, personal care, fitness, leisure, moving and legal services, to name a few. Within these markets, Jonas is comprised of over 65 distinct brands, each a respected leader in its domain.

Jonas’ vision is to be the branded global leader across these verticals and to be recognized by customers and industry stakeholders as the trusted provider of “Software for Life.” We are committed to technology, product innovation, quality, and exceptional customer service.

Jonas Software supports over 60,000 customers in more than 30 countries. We employ over 6,000 skilled professionals, including industry experts and technology specialists. Across our broader network, we support a global workforce of more than 30,000 employees.

Headquartered in Canada, Jonas Software has a global footprint with offices around the world. We’re a 100% owned subsidiary of Constellation Software Inc., based in Toronto, publicly listed on the TSX (CSU.TO), and a member of the S&P/TSX 60 Index.