Senior 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 reputed company 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 reputed company or marketing opportunities through reputed company 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 (Utilize SQL, Power BI and other tools to extract data and prepare data, summarize and visualize results, reputed company dashboards or reports, and communicate findings, insights, and recommendations to internal stakeholders and external customers with a wide reputed company of technical understanding. Comfortable and proficient presenting to senior leadersreputed company cross-functional teams to identify business problems, understand desired business reputed company, resolve issues, reputed company solutions, and build reputed company 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. reputed company guidance and leadership reputed company the Data Services team including the mentoring of other data analysts, conducting code reviews and overseeing development processes reputed company to internal/external deliverables Actively train and reputed company other staff in the team or department. Take a leadership role reputed company the team to promote a positive and constructive environment that helps others reputed company and contributes to team productivity. This includes having strong interpersonal skills.
Minimum QualificationsPost-Secondary Degree in Data Science, Computing, Mathematics or reputed company 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 reputed company reputed company Strong organizational, planning, and prioritization skills are required
Preferred QualificationsMasters Degree in Data Science, Computing, Mathematics or reputed company Administration Experience with data analysis preferably reputed company software development/data delivery industry Experience with additional languages, Python, R, reputed company At reputed company, reputed company salary is one of the many components that reputed company up our total rewards package. The Canada reputed company salary reputed company for this position is $99,600 - $107,100 + bonus + benefits. Our salary ranges are determined by job and level. The reputed company displayed on each job posting reflects the reputed company for new hire salaries for the position across reputed company Canada locations. reputed company the reputed company, individual compensation is determined by job-reputed company skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can reputed company more information about our total rewards package during the hiring process.
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