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Data Analyst
$91k-118k (estimate)
Full Time 2 Months Ago
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St. Josephs Hospital and Medical Center is Hiring a Data Analyst Near PHOENIX, AZ

Overview

Barrow Neurological Institute at Dignity Health St. Joseph’s Hospital and Medical Center in Phoenix, Arizona is an international leader in the treatment, research, and education of brain and spinal diseases, conditions, and injuries. Led by Barrow President and CEO Michael T. Lawton, MD, one of the world’s top neurosurgeons, the Institute is one of the busiest centers for neurology and neurosurgery in the United States. Because of our high volume, our physicians and clinicians are familiar with the rarest and most challenging conditions.

Newsweek ranks Barrow as one of the best specialty hospitals in the world for neurosurgery. In addition, U.S. News & World Report consistently ranks Barrow as a top center for neuro-rehabilitation in the country. We are certified by The Joint Commission in Comprehensive Stroke. Barrow boasts a Level I trauma center, CARF-accredited neuro-rehabilitation programs, and more certified neuroscience registered nurses (CNRN) than any other hospital in the world. Highly regarded for neuroscience education for decades, Barrow is ranked by Doximity as second in the nation for its neurosurgery residency program and 45th for neurology. Barrow has contributed to many breakthroughs in neuroscience and neurosurgery, including refining the cardiac standstill procedure, isolating the gene for the inherited form of cerebral cavernous malformations, and pioneering thoracoscopic spinal surgery. We are a leader in harnessing innovative technologies and procedures, such as minimally invasive spine surgery, microscopic techniques, and robotic spine surgery.

Responsibilities

Our BNI Informatics Department is seeking a Data Analyst to join our team! 

This role will focus on data management and analytics responsibilities for quality, research, and academic efforts. The incumbent will exercise strong IT business judgement, data quality and integrity management skills, and effective leadership skills across the division to identify, measure, and drive positive outcomes for our Data and Analytics projects. This position will support the effort to achieve data analysis and reporting objectives across the organization.

Responsibilities Include:

  • Performs intermediate operational or analytical tasks.
  • Meets directly with customers to obtain data analytic requirements and reporting needs.
  • Continually responsible for updating customers on process and progress with regards to tasks.
  • Responsible for ensuring and protecting data integrity at all times.
  • Follows organizational policies and procedures around the extraction and delivery of data requests for clinical, academic, and research-based efforts.
  • Provides analysis of data and systems, including functional and technical documentation.
  • Assists in delivering tasks for improving availability, security, compliance, and performance.
  • Maintains defined data standards and business rules used and established within projects.
  • Identifies opportunities for process improvement.
  • Collaborates with internal and external stakeholders.
  • Participates in vendor management activities.
  • Serves as a mentor for Project Coordinator staff.
  • Actively participates and/or implements data development activities such as system development, database development, and/or data standardization solutions.
Qualifications

Education and Experience:

  • 2-3 years of experience in data and/or statistical analysis or related field required.
  • Bachelor's Degree in a related field or equivalent professional experience required.

Preferred:

  • Master’s degree in related field or equivalent professional experience preferred.
  • 3 or more years of experience in data and/or statistical analysis or related field preferred.

Special Skills:

  • Strong skills in the Microsoft Office and/or Google Workspace suite of applications; Primarily Excel and/or Google Sheets.
  • Knowledge of core statistical analysis software; query writing skills for SQL.

Licensure:

  • One or more relevant technical/professional certifications preferred.

Job Summary

JOB TYPE

Full Time

SALARY

$91k-118k (estimate)

POST DATE

02/20/2024

EXPIRATION DATE

04/18/2024

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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