Description review
Clinical Data Analyst
Alimentiv · Canada · back to the listing
HR standards
46/100
poor
Title ↔ description
84/100
solid
Reads as
Data Analyst
100% confident
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
Large employers
- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- 32 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities. This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.
Reporting Standards Management
• Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
• Gather requirements from a cross-functional group to a particular study question or operational activity.
• Build & configure solution to meet the requirements.
• Lead validation activities to prepare reporting solutions for release/usage.
• Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
• Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
• Maintain ongoing updates to standard report templates.
• Support training for the Data Sciences team of new standard reports/solutions.
Study-Specific Reporting Deployment
• Deploy standard reporting solutions for use on a study-specific basis.
• Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members.
• Gather requirements from study team member(s) for ad hoc solutions.
• Build & configure ad hoc solutions to meet the requirements.
• Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
• Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
Department Operational & Performance Analysis
• Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
• Design, build, and maintain metrics governance within Data Sciences.
• Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
Technical Systems
• Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
• Act as a technical system subject matter expert; perform validation and testing of systems.
• Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
• Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
• Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
• While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.
Qualifications
• Minimum of a Bachelor's degree + 4-6 years of related experience.
• Strong analytical skills
• Visual design and aesthetic sense to produce appealing and intuitive outputs
• Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
• Skilled data storyteller to communicate complex information in clear and effective manner
• Strong collaborator
• Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
• Preference to prior Clinical Research and/or Clinical Data Management experience.
Working Condition
• Home-based
Originally posted on Himalayas
Reporting Standards Management
• Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
• Gather requirements from a cross-functional group to a particular study question or operational activity.
• Build & configure solution to meet the requirements.
• Lead validation activities to prepare reporting solutions for release/usage.
• Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
• Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
• Maintain ongoing updates to standard report templates.
• Support training for the Data Sciences team of new standard reports/solutions.
Study-Specific Reporting Deployment
• Deploy standard reporting solutions for use on a study-specific basis.
• Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members.
• Gather requirements from study team member(s) for ad hoc solutions.
• Build & configure ad hoc solutions to meet the requirements.
• Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
• Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
Department Operational & Performance Analysis
• Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
• Design, build, and maintain metrics governance within Data Sciences.
• Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
Technical Systems
• Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
• Act as a technical system subject matter expert; perform validation and testing of systems.
• Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
• Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
• Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
• While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.
Qualifications
• Minimum of a Bachelor's degree + 4-6 years of related experience.
• Strong analytical skills
• Visual design and aesthetic sense to produce appealing and intuitive outputs
• Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
• Skilled data storyteller to communicate complex information in clear and effective manner
• Strong collaborator
• Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
• Preference to prior Clinical Research and/or Clinical Data Management experience.
Working Condition
• Home-based
Originally posted on Himalayas