Data Analyst, Quality Resource Services

Job Title:

Data Analyst

Location:

Newark Beth Israel Medical Ctr
Department Name:
Quality Resource Services
Req #:
Status:
Salaried

Shift: Day
Pay Range: $67,500.00 – $ per year
Pay Transparency:
The above reflects the anticipated annual salary range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate’s educational background, skills and professional experience.

Newark Beth Israel Medical Center into a data‑driven organization; one that practices data‑driven decision making and utilizes data to improve the experience of our patients, families, and staff. The Data Analyst is passionate about healthcare delivery in a patient care setting. A successful candidate is articulate, analytical, and a team player who understands the power of data storytelling to drive change.

The analyst enjoys coordinating with interdisciplinary teams to create solutions for improving operational and clinical decision making. The analyst learns quickly, works independently, and is relentless in overcoming technical, process, and organizational obstacles. The Data Analyst, under supervision, will actively contribute to projects and tasks with appropriate data. The individual will need to build relationships with key stakeholders, understand multiple data sources, and implement sustainable data solutions.

The individual will also provide operational support for organizational data needs such as ad hoc and scheduled reporting.

• Individual must possess a Bachelor’s degree or equivalent
• Three (3) years of experience in analytics / business intelligence
• Experience with data visualization tools preferred (Qlik, Tableau, Power BI, etc)
• Experience working as a data analyst within a healthcare setting
• Experience with Quality & Safety improvement initiatives
• Knowledge of relational database structures
• Strong verbal, written and presentation skills (Infographics) to transfer knowledge to team and customers
• Strong Excel skills, ability to manipulate data, and master multiple databases

• Master’s degree in Data Science or a related field or MBA preferred

• Shift- 8:00am-3:00pm
• Monday-Friday
• Full Time/Day

• Individual Contributor
• Works with teams and business stakeholders to gather requirements, develop metrics, retrieve data, and ensure validity of results
• Experience with quality, safety, and experience improvement initiatives Contributes to projects and data requests from beginning to end
• Creates appropriate data solutions (dashboards, reports, business intelligence tools, etc) and data analysis for the measurement of processes and outcomes
• Demonstrates excellent data storytelling skills through outstanding presentation and communication to share findings in an understandable and actionable manner tailored to audience and customer’s needs
• Experience with data visualization tools (Qlik, Tableau, Power BI, etc)
• Experience with Infographics
• Quantitative and Qualitative analytical skills to perform the above functions. Ability to break down problems in workable pieces; seek guidance and propose solutions
• Strong verbal, written and presentation skills (Infographics) to transfer knowledge to team and customers
• Strong Excel skills, ability to manipulate data, and master multiple databases
• Ability to develop and implement quality improvement initiatives as assigned
• Ability to produce reports and dashboard that meet the needs of the organization in the review and analysis of impactful data
• Demonstrate time management and prioritization skills in a complex environment
• Ability to mentor and assist others on the team
• Develop and prepare scorecards, dashboards and summary reports showing high-level results and trends appropriate for different internal and external audiences
• Conduct cross-validation, data cleansing and quality checks for extracted data
• Collaborate with IT and business units to advance reporting capabilities, and improve accuracy of data
• Train stakeholders on how to interpret reports and data, as necessary, using the appropriate level for the intended audience
• Complete…