(US) Sr. Data Analyst, Life Sciences

Reporting to the Manager of Data Services for Life Sciences, the Senior Data Analyst is responsible in assisting the Product Team by providing specific subject area knowledge to transform transaction EHR data into relevant research grade data offerings for Life Sciences.  This will be achieved through a combination of data coding and analysis expertise, industry knowledge and work with key internal and external stakeholder.  Research will culminate in requirements and pilot projects used by the Life Sciences product team to drive data offering development or customers to cover immediate gaps in product offerings or to drive revenue or marketing opportunities through internal and external studies.

This position is newly created. It's a remote position located in the US or in Canada, with occasional travel between US and Canada (< 5%). Applicants must be eligible to work in the country specified. The ideal candidate brings seasoned experience with Life Sciences and the Long Term Post Acute Care (LTPAC) market. 

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

At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $116,300 - $125,000 (Overtime Exempt) + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

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