Key Responsibilities
- Utilize SQL, Power BI and other tools to extract data and prepare data, summarize and visualize results, develop dashboards or reports, and communicate findings, insights, and recommendations to internal stakeholders and external customers with a wide spectrum of technical understanding. Comfortable and proficient presenting to senior leaders
- Lead cross-functional teams to identify business problems, understand desired business outcomes, resolve issues, develop solutions, and build consensus among groups of diverse stakeholders
- Demonstrate application of advanced analytic skills in areas such as analytic discovery, descriptive statistics. Participate in analysis projects supporting forecasting, multivariate modeling, experimental design, statistical inference, matching, machine learning, or predictive models.
- Demonstrate ability to work with minimal direction while keeping management and stakeholders informed, with the ability to coordinate sophisticated activities or projects. This includes providing analysis and data interpretation in support of strategy development, program implementation, or evaluation.
- Provide guidance and leadership within the Data Services team including the mentoring of other data analysts, conducting code reviews and overseeing development processes related to internal/external deliverables
- Actively train and develop other staff in the team or department. Take a leadership role within the team to promote a positive and constructive environment that helps others develop and contributes to team productivity. This includes having strong interpersonal skills.
Minimum Qualifications
- Post-Secondary Degree in Data Science, Computing, Mathematics or Healthcare Administration
- Seasoned experience in data analysis and visualization tools and modelling various clinical statistical concepts
- Must be highly proficient in SQL
- Demonstration of strong communication skills both written and verbal
- Exceptional at building strong relationships at all levels
- Strong organizational, planning, and prioritization skills are required
Preferred Qualifications
- Masters Degree in Data Science, Computing, Mathematics or Healthcare Administration
- Experience with data analysis preferably within software development/data delivery industry
- Experience with additional languages, Python, R, SAS
- AI Fluency and/or use of M365 Copilot

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