Clinical Operations Business Intelligence Analyst

Net2Source (N2S); Los Angeles (CA); On-site; USD 68,880 - 82,656; Full time

Job summary

Net2Source (N2S) seeks a Clinical Operations Business Intelligence Analyst in Los Angeles for a 6+ month engagement with potential to convert to full-time. Expect to work on healthcare analytics, clinical and operational decision support, and BI projects using Tableau, QlikView, Qliksense, and Power BI.

Strong SQL/Python/R skills and leadership experience are required. The candidate should collaborate with clinical and operational partners, convert insights into actionable improvements, and

Qualifications

• 3-5 years' experience in business/ data analytics, healthcare analytics, healthcare quality, clinical and operations decision support or related field.
• 1 - 2 years in a lead/senior role.
• Working knowledge of back-end databases, spreadsheets, word processing, statistical software, analytical models, data science principles and data visualization programs (Tableau, QlikView, Qliksense, Power BI).
• Knowledge of business statistics and data analyses techniques.
• Expert knowledge in Python, R, and/or SQL software programming.
• Ability to manage, analyze, and derive clinical and operational insights from health system information technologies.
• Strong analytical thinking and problem-solving skills.
• Demonstrated leadership capabilities and ability to partner with operational and clinical teams.
• Be adept at presenting technical materials to a non-technical audience and applying user-centered design concepts.

Skills

Analytics

Healthcare analytics

Data visualization

Python

R

SQL

Tableau

Power BI

QlikView

Qliksense

Leadership

Statistics

Data science principles

Education

Master's degree (Health Administration, Nursing, Industrial Engineering, Analytics)

Tools

Tableau

QlikView

Qliksense

Power BI

Statistics software

Job description

Job Title: Clinical Operations Business Intelligence Analyst

Duration: 6+ Months (with possible to convert fulltime)

Pay Rate: $50/hr. - $60/hr.

Required Qualifications:

• 3-5 years' experience in business/ data analytics, healthcare analytics, healthcare quality, clinical and operations decision support or related field.
• 1 - 2 years in a lead/senior role.
• Working knowledge of back-end databases (e.g., relational designs) spreadsheets, word processing, statistical software, analytical models, data science principles and application, and data visualization programs (e.g., Tableau, QlikView, Qliksense, Power BI).
• Knowledge of business (operational, clinical and financial) statistics and data analyses techniques.
• Expert knowledge in Python, R, and/or SQL software programming.
• Ability to manage, analyze, and derive clinical and operational insights from health system information technologies.
• Strong analytical thinking and problem-solving skills.

Demonstrated leadership capabilities, including but not limited to:

• Developing dynamic, constructive working relationships and partnerships with operational and clinical partners.
• Excellent interpersonal skills (negotiation, listening and communication skills) characterized by effective interactions with a diverse range of internal and external constituents, stakeholders and audiences.
• Relationship driven, consultative, a team player, able to effectively lead process improvement initiatives.
• Possesses a good understanding of Business Intelligence tools, technology platforms, and related systems to handle queries about clinical and business data/analytical solutions.
• Be adept at presenting technical materials to a non-technical audience, applying human factors principles and user centered design principles, understanding user workflows, applying statistical methods platforms such as QlikView and Tableau.

Preferred Qualifications:

• Master's degree (Health Administration, Nursing, Industrial Engineering, Analytics).
• Expertise in data science, including machine learning approaches to produce predictive models.
• Proficiency in statistical approaches.
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• Master level expertise in data visualization platforms such as QlikView and Tableau.