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Data Analyst Python Sql Jobs in Brampton, ON (NOW HIRING)

CarePartners

Senior Data Analyst

Guelph, ON

CA$80K - CA$95K/yr

  • Medical

  • Dental

Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis. * Design, develop, and implement reporting solutions using tools such ...

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Analyze existing SQL queries, reports, and stored procedures to reverse engineer business rules. * Data Mapping & Transformation * Map source fields to target model requirements. * Identify gaps ...

Konrad

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

  • Medical

  • Retirement

Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) * Proficiency in Python, R, or similar language for data analysis and automation

Konrad

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

  • Medical

  • Retirement

Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) * Proficiency in Python, R, or similar language for data analysis and automation

Carter's

Data Analyst

Mississauga, ON · On-site

Must have: - 2-3 Years of Experience in a Data Analyst role. - Advanced knowledge and proficiency in Tableau. - Strong SQL skills for querying large data sets. - Strong communication and ...

Futuretek

Data Analyst

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

Proficient in SQL and experience with complex data queries * Strong analytical and problem - solving capabilities and attention to detail * Excellent communication skills, with the ability to ...

Sun Life Financial

Senior Data Analyst

Toronto, ON · Hybrid

The Senior Data Analyst is expected to use SQL, dbt, AWS, Tableau, GitHub Copilot, approved AI tools, and multiple specialized AI agents to improve delivery speed and efficiency while maintaining a ...

New

StarTech.com

Data Analyst

Toronto, ON · On-site +1

  • Medical

  • Retirement

If you enjoy solving complex problems, working with data tools such as Power BI, Python, R, or ... Analyze key business metrics to evaluate and improve strategic initiatives * Translate data into ...

Sun Life Financial

Senior Data Analyst

Toronto, ON · Hybrid

The Senior Data Analyst is expected to use SQL, dbt, AWS, Tableau, GitHub Copilot, approved AI tools, and multiple specialized AI agents to improve delivery speed and efficiency while maintaining a ...

New

Teranet

Senior Data Analyst

Toronto, ON · On-site

  • Medical

  • Retirement

  • PTO

Strong proficiency in SQL, Python, and Excel is required * Experience with visualization tools ... Strong analytical thinking across data, business, and product problems * Ability to break down ...

Scotiabank

Data Analyst

Toronto, ON

  • Retirement

  • PTO

SQL and data analysis * Microsoft Excel and data manipulation * Reporting and dashboard development ... Python, ACL, SAS, VBA, or similar scripting and automation tools * BI and visualization tools ...

EvenUp

Senior Data Analyst

Toronto, ON · Remote

$154K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... using SQL or similar big data querying languages. * 5+ years of experience with a programming ... such as Python or R. * 5+ years of experience with applied statistical techniques, such as ...

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Showing results 21-40

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Brampton, ON

Data Analyst Python Sql information

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Brampton, ON?

For Data Analyst Python Sql jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Brampton, ON look for?

The top searched job categories for Data Analyst Python Sql jobs in Brampton, ON are:

What cities near Brampton, ON are hiring for Data Analyst Python Sql jobs?

Cities near Brampton, ON with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Senior Data Analyst

CarePartners

Guelph, ON

CA$80K - CA$95K/yr

Full-time

Medical, Dental

Posted 26 days ago

Job description

Overview

We are hiring for a Senior Data Analyst to join our team!

The Senior Data Analyst will work with key business leaders to identify, develop and deliver relevant data, reports and dashboards to support day to day, historical and future operations.

This role will enable decision-makers to make evidence-based decisions, support growth efforts, and identify threats and opportunities through generating and delivering insights and trends.

The Senior Data Analyst has a strong foundation in data analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. The Senior Data Analyst gathers, analyses, and reports data related to the organization’s core business performance metrics. This includes both internal and external metrics systems. They are responsible for ensuring data is presented in a clear and actionable manner while supporting site managers with information that assists their decision making.

What We Offer

  • This position offers a competitive compensation range. The salary range is $80,000.00 to $95,000.00, and placement within the range will be determined in accordance with company policies and procedures, as well as the candidate’s knowledge, skills, qualifications, and relevant experience.
  • Comprehensive health and dental benefits
  • Other employment perks such as Employee Assistance Program, Perkopolis, Rewards Points
  • Inspiring leadership and opportunities for professional growth
  • Rewarding and meaningful work in healthcare

    • What The Role Involves

    Data Collection & Analysis

  • Lead the collection, validation, and organization of data from multiple internal and external sources
  • Analyze complex datasets to identify trends, patterns, risks, gaps, and opportunities across business and clinical operations
  • Interpret data and translate findings into meaningful insights, recommendations, and actions for leadership and operational teams
  • Ensure data accuracy, quality, completeness, and consistency across reports, dashboards, and analytical outputs
  • Support advanced and ad hoc analysis to respond to organizational priorities, operational questions, and performance improvement needs

    • Reporting & Visualization

  • Lead the design, development, and maintenance of dashboards, KPI scorecards, and recurring reports using tools such as Microsoft Excel and Power BI.
  • Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis.
  • Design, develop, and implement reporting solutions using tools such as AlayaCare Data Exploration to support analysis and decision-making.
  • Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting tasks, and support business decision-making.
  • Review and enhance existing reporting tools, templates, and dashboards to improve usability, accuracy, and alignment with business needs.
  • Provide guidance on reporting methodology, data interpretation, and appropriate use of performance indicators.

    • Process Improvement & Optimization

  • Assess current workflows, reporting processes, and data practices to identify inefficiencies, gaps, and opportunities for improvement.
  • Lead or support process improvement initiatives, automation efforts, and reporting enhancements that improve efficiency and data usability.
  • Apply design-thinking and user-focused approaches to improve access to data, reporting tools, and analytical insights.
  • Recommend practical solutions to improve reporting processes, reduce manual work, and strengthen consistency across analytics products.
  • Support the development of standard processes, templates, and documentation to improve reporting quality and sustainability.

    • Stakeholder Collaboration

  • Partner with Operations and Shared Services teams to understand data needs, define reporting requirements, and deliver meaningful analytics solutions.
  • Work closely with Regional Directors and business users to translate operational questions into clear analytical approaches and reporting outputs.
  • Communicate findings clearly to both technical and non-technical stakeholders through reports, presentations, and discussions.
  • Facilitate conversations with stakeholders to validate requirements, explain methodology, and support data-driven decision-making.
  • Promote the effective use of data, dashboards, and reporting tools across the organization.

    • Data Governance and Data Quality

  • Lead or support the development and maintenance of clear data definitions, business rules, data standards, and quality checks.
  • Ensure data used in reports and analysis is accurate, complete, consistent, and aligned with approved definitions and methodologies.
  • Work with cross-functional teams to identify, investigate, and resolve data quality issues.
  • Support improvements in data collection, documentation, and reporting practices to strengthen data integrity and trust.
  • Promote data governance principles, including standardized definitions, metadata documentation, privacy, security, and appropriate use of data.
  • Provide recommendations to improve data quality, reporting accuracy, and consistency across systems and business areas.
  • Other Duties and or special projects as assigned.

    • What You Bring

  • Degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field, or equivalent combination of education and relevant experience.
  • Minimum 5 years of experience in a data analyst, business intelligence, analytics, or similar role, preferably within the healthcare industry.
  • Strong experience developing high-quality dashboards, reports, and data visualizations using tools such as Power BI.
  • Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, data modelling, and data analysis.
  • Strong proficiency in SQL, including writing complex queries, joining multiple data sources, and supporting data validation.
  • Experience using Python or R for statistical analysis, automation, and data visualization.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights and recommendations.
  • Excellent written and verbal communication skills, with demonstrated experience in stakeholder engagement, requirements gathering, presenting findings, and supporting data-driven decision-making.
  • Experience partnering with cross-functional teams, including corporate, operational, and clinical stakeholders, to understand data needs and align reporting solutions.
  • Strong understanding of data governance principles, including data quality, metadata documentation, data definitions, security controls, and data privacy standards.
  • Experience identifying and resolving data inconsistencies to improve reporting accuracy, reliability, and trust in data.
  • Ability to lead or support ad hoc analysis, complex reporting requests, and organizational analytics priorities.
  • Exposure to cloud data platforms such as Azure Synapse or Snowflake is preferred
  • Experience in healthcare, home and community care, or other mission-driven environments is preferred.
  • Experience with AlayaCare Data Exploration is preferred.
  • Experience using AI technologies is preferred.

    • CarePartners In Your Community

    In addition to providing home-based health care, CarePartners also serves the community through clinics, transitional care units, and provides relief in retirement homes and shared care settings. Through our Community Nursing Services outreach program, we’ve been organizing staff-led medical care and clinics in countries with poor access to health care since 2009.

    Accessibility

    CarePartners welcomes and encourages applicants from people with disabilities. Candidates can request accommodations at any time in the hiring process.

    Artificial Intelligence

    CarePartners uses iCIMs as part of our recruitment and hiring process. While we incorporate select Artificial Intelligence (AI) features to enhance process efficiency, we remain committed to human-led decision making. All AI-generated outputs are subject to human review to ensure accuracy and fairness.

    This job posting is available due to an existing vacancy.

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