Senior Data Analyst

Portfolio submission required for application to be considered

Be a part of ALTEA Healthcare growth, where we're reshaping the landscape of outpatient care and creating a space where innovation fosters better patient experiences and optimal health outcomes.

Our mission is to bring hospital-quality technology, skilled clinicians, and value-based care management into the post-acute world.

At the heart of our transformative approach lies our proprietary technology platform, Aarista. This cutting-edge platform has garnered recognition for its exceptional ability to reduce the overall cost of care while proactively elevating patient outcomes.

Powered by artificial intelligence, unique clinical insights, and real-time data analytics, Aarista drives our connected model, enabling us to deliver unparalleled healthcare solutions.

Join the team that is redefining healthcare!

Role : Senior Data Analyst

We are seeking an experienced and detail-oriented Data Analyst with a minimum of 5 years of proven experience in a similar role.

The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for transforming data into actionable insights.

As a Data Analyst at ALTEA HealthCare, you will play a key role in driving data-driven decision-making and contributing to the overall success of the organization.

Responsibilities :

Data Collection and Analysis :

• Collect and analyze large and complex datasets to identify trends, patterns, and insights.
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.

Data Wrangling, Cleaning, and Preprocessing :

• Work with large and complex datasets, performing data wrangling, cleaning, and preprocessing tasks.
• Ensure the accuracy and reliability of data through meticulous cleaning and validation processes.

Reporting and Visualization :

• Create clear and concise reports and dashboards to communicate findings to both technical and non-technical stakeholders.
• Work with business teams to understand reporting requirements and provide data-driven solutions.

Statistical Analysis :

• Conduct statistical analysis to support business decisions and validate hypotheses.
• Collaborate with cross-functional teams to design and execute experiments.

Data Integration and Warehousing :

• Proven ability to perform data warehousing, cleaning, and integration tasks.
• Experience with writing scripts for automatically pulling data using APIs.

Qualifications :

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related field.
• Minimum of 5 years of experience as a Data Analyst or in a similar role.
• Expert in data analysis tools and advanced level proficiency in SQL programming language.
• Hands-on experience in Python and familiarity with data analysis libraries, such as Pandas, NumPy, and Plotly.
• Proficiency in writing scripts for pulling data using APIs or ETL tools.
• In-depth knowledge of Excel.
• Proven experience and proficient with data visualization tools specifically Power BI.
• Fluent with DAX and M Code.
• Strong data storytelling skills and visualization experience.
• Strong understanding of data modeling and Microsoft Fabric.
• Excellent communication skills with the ability to present complex data findings in a clear and understandable manner.
• Attention to detail and ability to work independently.
• Excellent collaborator with the ability to build and maintain strong relationships both within the team and with cross-functional stakeholders.
• Proven experience to act as a mentor and support junior-level Data Analysts on the team.
• Independent thinker who takes initiative and approaches problem-solving with an innovative mindset, focusing on scalable solutions.

Additional Skills :

• Having experience of working with Microsoft Suite.
• Familiarity with Agile tools such as Azure DevOps, GitHub, and SharePoint.
• Proficiency in using Jupyter for data analysis and visualization.
• Experience working with large and complex datasets; expertise in data wrangling, cleaning, preprocessing, and warehousing.
• Ability to write scripts for automatically pulling data using APIs.

Preferred Qualifications :

Master's degree in a relevant field would be an asset.

Salary : 80K CAD above depending on experience