Senior Clinical Analyst

Humber River Health•Toronto, ON

2d•CA$97,342 - CA$121,754•Onsite

About The Position

The Health Analytics Team at Humber River Hospital is an advanced healthcare analytics group that uses scientifically rigorous methods to conduct meaningful analyses that generate data-driven insights and recommendations so clinicians and leaders can make better decisions to improve patient outcomes, patient experience, provider experience, and reduce cost/increase efficiency. Members of the Health Analytics Team focus on advancing Humber’s Health Analytics Strategy, supporting program areas with business needs as it related to health analytics, including program planning, market research, and proposals. Right now we are looking for a Senior Clinical Analyst to join our newly formed Health Analytics team. The Clinical Analyst, Health Analytics works closely with Directors and other stakeholders to seek out requests, understand and document the underlying business need, and leverage the correct analytic / business tools, to empower leaders with the right information. When relevant, the Clinical Analyst will work with other members of the Health Analytics team to develop and document requirements for automated technical solutions, and ensure data integrity, validity and reliability.

Requirements

Undergraduate degree in health care, statistics/biostatistics, health informatics or related discipline required
5 Years experience in healthcare required
2-3 Years experience in analytics / using analytic tools required (e.g. SAS, R Studio, Tidyverse, etc.)
Expert knowledge of MS Office Suite (Outlook, Excel, Word, PowerPoint, etc.)
Demonstrated strong communication and interpersonal skills, with the ability to work collaboratively with leaders, physicians, inter-professional team members, and other stakeholders
Excellent oral, written, and presentation skills, with demonstrated competency in information and communication technology
Demonstrated excellent organizational and coordination skills and the ability to prioritize multiple competing workload demands
Excellent organizational, critical appraisal and analytical skills.
Ability to work independently and as part of a team.
High level of initiative and self-direction.
Excellent attendance and discipline free record is a requirement

Nice To Haves

Master’s degree in health care, statistics/biostatistics, health informatics or related discipline preferred
Professional Certifications in CHIM or PMP preferred
Regulated Health Professional preferred
Experience with Meditech preferred
Experience with Business Intelligence (BI) Solutions, predictive analytics, machine learning preferred
Experience writing proposals, written submissions, and/or business cases preferred
An understanding of equity, diversity, and inclusion principles as they relate to health practices is an asset. Humber River Health values lived and learned experiences in addressing systemic barriers and advancing inclusive practices.

Responsibilities

Meets with clinicians and leaders as required, provide an overview on analytic capabilities to support with user request solicitation.
Attend program, review, utilization and/or budget meetings to identify opportunities to empower program areas with analytics, and identifies deliverables.
Provide dedicated support to identified program areas obtaining an intimate understanding of their operations, supporting identification of operational needs and opportunities where health analytics can support.
Support in the development of key performance indicators (KPIs), scorecards, and/or outcome metrics.
Identify opportunities to automate data, including, but not limited to, data collection, tracking, trending and reporting.
Perform review/evaluation on the best mechanism/solution to support the health analytics at HRH.
Collect business requirements using techniques such as “Voice of the customer”, to distinguish between user requests and the underlying business need.
Translate business needs to operational requirements in analytics (e.g. reports, dashboards, etc.).
Document requirements in use case format and create process models, leveraging principles in human factors, design thinking and usability heuristics.
Identify methodological approaches and the data required to answer specific data science questions;
Collaborate with developers and subject matter experts to identify analytic solutions and analyze trade-offs between usability and performance needs. Act as a bridge between the business community and ICAT for analytics.
Produce high quality ad hoc and standardized reports customized per project, tailored to different end-users (e.g. clinicians, researchers, senior management, and hospital executives).
Pre-process raw data to prepare for analysis. This includes cleaning and merging data from multiple sources, as well as understanding overall data quality.
Assist with writing project protocols including: data extraction, cleaning, predictive model, and validation plans
Assist with writing code to put final analytic solutions into production.
Write documentation and contribute to project repositories so that all work is reproducible.
Validate data collected and reported by the health analytics team.
Validate any output tables, listings or figures generated to ensure accuracy and reliability of analyses.
Completes cleaning/consistency checks and other quality control measures necessary for the final analysis.
Critically evaluate and align the right data and output to business needs, decompose high-level information into details, abstract up from low-level information to a general understanding.
Write HTML, PDF, Microsoft Word, and/or Microsoft PowerPoint reports summarizing the analysis.
Prepare presentations for program areas, and leadership, and/or present finding of analysis.
Perform and document analytic requirements for analytic solutions to be built by the data engineer/developer, including interactive dashboards in BCA, reports with interactive visualizations using libraries like Highcharts, plotly, and other analytic solutions.
Conduct an exploratory and statistical analysis of data to assess feasibility of new data science projects using the R, Python or other programming languages.
Coordinate and write business cases as requested, understanding the business need, collaborating with finance/decision support for financial or staffing data, contribute with additional data, and provide for review to supervisor and program leadership.