📍 Job Overview

Job Title: Intermediate Database Analyst (6-Month Contract)
Company: PointClickCare
Location: Remote or Mississauga, Canada
Job Type: Full-Time, Contract
Category: Database Administration, Data Migration
Date Posted: June 11, 2025
Experience Level: Intermediate (2-5 years)
Remote Status: Remote Solely

🚀 Role Summary

Collaborate with stakeholders to define data mapping, business rules, and validation checks for multiple data migration projects.
Develop, test, and optimize scripts and processes to enhance migration performance and minimize downtime.
Handle multiple data migration projects in parallel, managing priorities and troubleshooting issues efficiently.
Ensure data integrity, accuracy, and consistency throughout the data migration process.
Automate repetitive data migration tasks to improve efficiency and reduce manual effort.

📝 Enhancement Note: This role requires strong problem-solving skills and the ability to work independently in a fast-paced environment, with a focus on data quality and process optimization.

💻 Primary Responsibilities

Data Migration Strategies: Analyze and assess data structures in source and target systems to develop effective migration strategies.
Data Migration Execution: Migrate data from legacy systems to new platforms, ensuring data integrity, accuracy, and consistency throughout the process.
Scripting and Process Optimization: Develop, test, and optimize scripts and processes to enhance migration performance and minimize downtime.
Data Quality Management: Identify data quality issues, perform data cleansing, and apply necessary information.
Stakeholder Collaboration: Collaborate with stakeholders to define data mapping, business rules, and validation checks.
Process Monitoring and Troubleshooting: Monitor and troubleshoot migration processes, ensuring timely and accurate data transfer.
Documentation: Document data migration process, transformation rules, and troubleshooting steps for future reference.
Compliance: Ensure compliance with data security, data governance, and regulatory standards.

🎓 Skills & Qualifications

Education: Bachelor's Degree in Computer Science, Information Systems, or a related field.

Experience: 3-5 years of hands-on experience in data migration and ETL.

Required Skills:

Proficient in SQL (MySQL, SQL Server)
Experienced in ETL tools (ADF, SSIS)
Proficiency in scripting (Python, PowerShell, Bash)
Strong in stakeholder collaboration
Able to handle multiple projects in a fast-paced environment with minimal supervision

Preferred Skills:

Experience with data warehousing and big data technologies
Knowledge of healthcare data standards and regulations
Familiarity with cloud-based data migration tools and platforms

📝 Enhancement Note: While not explicitly mentioned, having experience with healthcare data standards and regulations, as well as familiarity with cloud-based data migration tools, would be beneficial for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Case studies demonstrating successful data migration projects, highlighting challenges faced and solutions implemented.
Examples of data migration scripts and processes, showcasing optimization techniques and performance improvements.
Documentation samples illustrating data mapping, business rules, and validation checks.

Technical Documentation:

Detailed data migration process documentation, including transformation rules and troubleshooting steps.
Data quality reports and metrics, demonstrating the impact of data cleansing and optimization efforts.
Performance testing results and optimization strategies.

💵 Compensation & Benefits

Salary Range: $35 - $50 per hour (CAD)

Benefits:

Competitive compensation package
Comprehensive health and wellness benefits
Employee assistance program
Retirement savings plan with company matching
Professional development opportunities
Flexible work arrangements

Working Hours: 40 hours per week, with availability to provide data migration support during off-business hours and on weekends as required.

📝 Enhancement Note: Salary range provided is in Canadian Dollars (CAD) and is based on the job listing. It is recommended to research regional salary standards and cost of living for a more accurate estimate.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare technology, with a focus on creating a world where providers and plans can confidently deliver frictionless care.

Company Size: Over 2,200 employees, with a dynamic and collaborative work environment.

Founded: 2000, with over 20 years of experience in the healthcare technology industry.

Team Structure:

The Intermediate Database Analyst will work within the Data Management team, collaborating with stakeholders across various departments.
The team consists of data analysts, data engineers, and data architects, working together to ensure accurate and efficient data management.

Development Methodology:

Agile development methodologies, with a focus on continuous improvement and collaboration.
Regular team meetings and stand-ups to discuss progress, challenges, and priorities.
A data-driven approach to decision-making, with a strong emphasis on data quality and governance.

Company Website: PointClickCare

📝 Enhancement Note: PointClickCare has been recognized by Forbes as one of the top 100 private cloud companies and acknowledged by Waterstone Human Capital as Canada’s Most Admired Corporate Cultures. This indicates a strong company culture that values employee growth and development.

📈 Career & Growth Analysis

Database Analyst Career Level: This role is an intermediate position within the data management career path. The ideal candidate will have 3-5 years of experience in data migration and ETL, with a strong foundation in SQL and scripting.

Reporting Structure: The Intermediate Database Analyst will report directly to the Data Management Team Lead and collaborate with various stakeholders across the organization.

Technical Impact: The Intermediate Database Analyst will play a critical role in ensuring accurate and efficient data migration, enabling the organization to make data-driven decisions and deliver frictionless care to patients.

Growth Opportunities:

Technical Skill Development: Expand expertise in data migration, ETL, and related technologies, with opportunities to learn from experienced team members and work on diverse projects.
Career Progression: With experience and strong performance, there may be opportunities to advance to a Senior Database Analyst or Data Engineer role within the organization.
Leadership Potential: Demonstrate strong problem-solving skills, stakeholder management, and process optimization to build a reputation as a trusted advisor and potential leader within the data management team.

📝 Enhancement Note: PointClickCare offers a wealth of opportunities for professional growth and development, with a vibrant culture that empowers employees to advance their careers while engaging in meaningful work.

🌐 Work Environment

Office Type: PointClickCare has a hybrid work environment, with a mix of on-site and remote work options available for eligible employees. The Intermediate Database Analyst role is currently offered as a remote-only position.

Office Location(s): Mississauga, Ontario, Canada (with remote work options available)

Workspace Context:

Remote Work: The Intermediate Database Analyst will work remotely, with access to the necessary tools and resources to perform their job effectively.
On-Site Work: When working on-site, employees have access to collaborative workspaces, meeting rooms, and state-of-the-art technology to support their work.
Cross-Functional Collaboration: The Intermediate Database Analyst will work closely with various teams, including software development, product management, and clinical operations, to ensure accurate and efficient data management.

Work Schedule: Full-time, with availability to provide data migration support during off-business hours and on weekends as required.

📝 Enhancement Note: While this role is currently offered as a remote-only position, PointClickCare has a hybrid work environment, allowing for flexibility and collaboration between on-site and remote employees.

📄 Application & Technical Interview Process

Interview Process:

Phone/Video Screen: A brief conversation to assess technical skills, communication, and cultural fit.
Technical Assessment: A hands-on data migration challenge, focusing on SQL, ETL, and scripting skills.
Behavioral Interview: A discussion to evaluate problem-solving skills, stakeholder management, and process optimization.
Final Interview: A conversation with the Data Management Team Lead and other stakeholders to discuss the role, team dynamics, and career growth opportunities.

Portfolio Review Tips:

Highlight successful data migration projects, demonstrating challenges faced and solutions implemented.
Showcase data migration scripts and processes, emphasizing optimization techniques and performance improvements.
Provide examples of data quality reports and metrics, illustrating the impact of data cleansing and optimization efforts.

Technical Challenge Preparation:

Brush up on SQL, ETL, and scripting skills, focusing on data migration techniques and best practices.
Familiarize yourself with PointClickCare's products and services, understanding the role of data management in delivering frictionless care.
Prepare for behavioral interview questions, focusing on problem-solving, stakeholder management, and process optimization.

ATS Keywords: See the comprehensive list of relevant keywords provided at the end of this document, organized by category.

📝 Enhancement Note: PointClickCare uses Lever as their Applicant Tracking System (ATS). Familiarize yourself with the platform and optimize your resume and application materials with relevant keywords to improve your chances of being selected for an interview.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

SQL (MySQL, SQL Server)
ETL tools (ADF, SSIS)
Scripting languages (Python, PowerShell, Bash)

Data Migration Tools:

Cloud-based data migration tools and platforms (e.g., AWS Data Pipeline, Azure Data Factory)
ETL tools (e.g., Talend, Informatica)

Data Governance and Security:

Data governance frameworks (e.g., DAMA, COBIT)
Data security standards (e.g., HIPAA, PIPEDA)

📝 Enhancement Note: While not explicitly mentioned, having experience with cloud-based data migration tools and platforms, as well as familiarity with data governance and security standards, would be beneficial for this role.

👥 Team Culture & Values

Data Management Values:

Accuracy: Ensuring data integrity, consistency, and quality throughout the data migration process.
Efficiency: Optimizing data migration workflows and minimizing downtime.
Collaboration: Working closely with stakeholders to define data mapping, business rules, and validation checks.
Continuous Improvement: Regularly reviewing and enhancing data migration processes to ensure optimal performance.

Collaboration Style:

Cross-Functional: Working closely with various teams, including software development, product management, and clinical operations, to ensure accurate and efficient data management.
Agile: Utilizing Agile development methodologies to ensure continuous improvement and collaboration.
Data-Driven: Making data-driven decisions to optimize data migration processes and improve overall data quality.

📝 Enhancement Note: PointClickCare values a collaborative and data-driven approach to data management, with a strong emphasis on continuous improvement and optimization.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Complexity: Working with large, complex datasets and legacy systems, requiring strong data modeling and analysis skills.
Data Quality: Ensuring data accuracy, consistency, and completeness throughout the data migration process, with a focus on data cleansing and optimization.
Process Optimization: Continuously reviewing and enhancing data migration workflows to improve efficiency and minimize downtime.
Stakeholder Management: Collaborating with various teams and stakeholders to define data mapping, business rules, and validation checks, requiring strong communication and interpersonal skills.

Learning & Development Opportunities:

Technical Skill Development: Expanding expertise in data migration, ETL, and related technologies, with opportunities to learn from experienced team members and work on diverse projects.
Career Progression: With experience and strong performance, there may be opportunities to advance to a Senior Database Analyst or Data Engineer role within the organization.
Leadership Potential: Demonstrating strong problem-solving skills, stakeholder management, and process optimization to build a reputation as a trusted advisor and potential leader within the data management team.

📝 Enhancement Note: PointClickCare offers a wealth of opportunities for professional growth and development, with a vibrant culture that empowers employees to advance their careers while engaging in meaningful work.

💡 Interview Preparation

Technical Questions:

SQL: Prepare for SQL queries and optimization techniques, focusing on data migration scenarios and best practices.
ETL: Brush up on ETL tools (ADF, SSIS) and processes, with a focus on data transformation, validation, and loading.
Scripting: Familiarize yourself with scripting languages (Python, PowerShell, Bash) and data migration techniques, with a focus on automation and optimization.
Data Quality: Prepare for data quality assessment, cleansing, and optimization techniques, with a focus on ensuring data integrity, accuracy, and consistency throughout the data migration process.

Company & Culture Questions:

Data Management: Research PointClickCare's data management strategies and initiatives, understanding the role of data migration in delivering frictionless care.
Agile Methodologies: Brush up on Agile development methodologies, with a focus on continuous improvement and collaboration.
Stakeholder Management: Prepare for questions about working with various teams and stakeholders, with a focus on defining data mapping, business rules, and validation checks.

Portfolio Presentation Strategy:

Case Studies: Highlight successful data migration projects, demonstrating challenges faced and solutions implemented.
Scripts and Processes: Showcase data migration scripts and processes, emphasizing optimization techniques and performance improvements.
Data Quality Reports: Provide examples of data quality reports and metrics, illustrating the impact of data cleansing and optimization efforts.

📝 Enhancement Note: PointClickCare values a data-driven and collaborative approach to data management, with a strong emphasis on continuous improvement and optimization. Prepare for interview questions that focus on data quality, stakeholder management, and process optimization.

📌 Application Steps

To apply for this Intermediate Database Analyst (6-Month Contract) position:

Submit your application through the PointClickCare careers page.
Customize Your Resume: Tailor your resume to highlight your relevant data migration, ETL, and scripting experience, with a focus on data quality, process optimization, and stakeholder management.
Prepare for the Technical Assessment: Brush up on your SQL, ETL, and scripting skills, focusing on data migration techniques and best practices.
Research PointClickCare: Familiarize yourself with PointClickCare's products and services, understanding the role of data management in delivering frictionless care.
Prepare for Behavioral Interview Questions: Focus on problem-solving, stakeholder management, and process optimization, with a focus on data quality and continuous improvement.

📝 Enhancement Note: PointClickCare uses Lever as their Applicant Tracking System (ATS). Ensure your resume and application materials are optimized with relevant keywords to improve your chances of being selected for an interview.

Content Guidelines (IMPORTANT: Do not include this in the output)

Data Migration-Specific Focus:

Tailor every section specifically to data migration, ETL, and database administration roles.
Include data migration methodologies, ETL processes, and database management practices.
Emphasize data quality, process optimization, and stakeholder collaboration.
Address data migration portfolio requirements, live project demonstrations, and data quality metrics.
Highlight data migration-specific interview preparation and coding challenge guidance.

Quality Standards:

Ensure no content overlap between sections; each section must contain unique information.
Only include Enhancement Notes when making significant inferences about data migration processes, ETL workflows, or team structure.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute data migration and ETL-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and data migration specialization.

Industry Expertise:

Include specific data migration tools, ETL platforms, and database management systems relevant to the role.
Address data migration career progression paths and technical leadership opportunities in data management teams.
Provide tactical advice for data migration portfolio development, live demonstrations, and project case studies.
Include data migration-specific interview preparation and coding challenge guidance.
Emphasize data quality, process optimization, and stakeholder management techniques.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use data migration and ETL industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to data migration professionals.
Provide actionable insights that give data migration candidates a competitive advantage.
Focus on data migration team culture, cross-functional collaboration, and data-driven decision-making.

Data Migration & ETL Focus:

Emphasize data migration best practices, ETL techniques, and data quality standards.
Include specific portfolio requirements tailored to the data migration discipline and role level.
Address data mapping, business rules, and validation checks in the context of data migration projects.
Focus on problem-solving methods, process optimization, and data migration workflows.
Include technical presentation skills and stakeholder communication for data migration projects.

Avoid:

Generic business jargon not relevant to data migration or ETL roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific data migration role.
Marketing language unrelated to data migration, ETL, or database administration.

Generate comprehensive, data migration-focused content that serves as a valuable resource for data migration professionals seeking their next opportunity and preparing for technical interviews in the data management industry.

ATS Keywords:

Programming Languages:

SQL (MySQL, SQL Server)
Scripting (Python, PowerShell, Bash)
ETL tools (ADF, SSIS)

Data Migration Tools:

Cloud-based data migration tools and platforms (e.g., AWS Data Pipeline, Azure Data Factory)
ETL tools (e.g., Talend, Informatica)

Database Management Systems:

MySQL
SQL Server
Cloud-based databases (e.g., AWS RDS, Azure SQL Database)

Data Governance and Security:

Data governance frameworks (e.g., DAMA, COBIT)
Data security standards (e.g., HIPAA, PIPEDA)

Data Migration Methodologies:

Data migration strategies
Data mapping, business rules, and validation checks
Data cleansing and optimization techniques
Data migration workflows and automation

Soft Skills:

Stakeholder management
Problem-solving
Process optimization
Data quality assessment and improvement
Communication and collaboration

Industry Terms:

Data migration
ETL (Extract, Transform, Load)
Database administration
Data governance
Data security
Data quality
Data cleansing
Data optimization
Data mapping
Business rules
Validation checks
Data migration workflows
Data migration automation
Data-driven decision-making
Cross-functional collaboration
Agile methodologies
Continuous improvement
Data management
Data migration portfolio
Data migration project case studies

Canada- Intermediate Database Analyst (6-Month Contract)