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Data Analyst (Patient Experience)
Full Time | Scientific Services 7 Months Ago
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H. Lee Moffitt Cancer Center is Hiring a Data Analyst (Patient Experience) Near Tampa, FL

Position Highlights
  • The Patient Experience Analyst will develop analytic strategies to assess and trend the quality of the patient experience at the Moffitt Cancer Center.
  • This will include performing advanced data analysis of patient satisfaction data using statistical and data management software, and planning and designing reports and dashboards that provide enterprise leaders with key data to measure and improve the patient experience.
The Ideal Candidate:
  • The ideal candidate will have experience with advanced data analysis, modeling, report development, quality assurance and/or business analysis, documentation management, research statistics, or data quality
  • The candidate will be proficient in one of the following software programs: SQL, SAS, R, Python, VBA or other related software
  • The ideal candidate will have experience in healthcare data
Responsibilities:
  • Use statistical or data management software to analyze data, recommend new metrics and areas of focus, and use that information to tell a meaningful story
  • Ensures data integrity by conducting quality assurance audits at regular intervals
  • Provides expertise in the development, design and maintenance for analytic business needs
  • Identifies data issues and troubleshoots with internal and external customers to conduct a root cause analysis and resolve the issues
  • Combines data into well-organized and formatted reports which are easy for users to understand and focuses attention on key information.
  • Assists in the planning and design of reporting projects
  • Creates, manages and maintains database records and dashboards
  • Plans and promotes report automation and self-service dashboard solutions
  • Attends patient satisfaction discussions to clarify data needs and assists users in understanding data
  • Trains team members and leaders on patient experience data reports, databases and other tools
  • Responsible for pulling data from multiple sources related to patient satisfaction on a both recurring and ad hoc basis to meet the needs of the institution
  • Summarizes findings in written reports and presentations (PowerPoints, posters, etc)
  • Assists in presenting advanced data analyses findings to diverse audiences, where needed, and is able to answer questions and defend methodologies used, results and recommendations
Credentials and Experience:
  • Bachelor’s Degree – field of study: Mathematics, Statistics, Economics, Bioinformatics, Data Science, Information Systems, Biostatistics, Epidemiology or other related fields.
  •  Minimum of seven (7) years’ experience with advanced data analysis, modeling, report development, quality assurance and/or business analysis, documentation management, research statistics, or data quality.
    • **Master's degree with five (5) years of relevant advanced data and/or business analysis experience may be considered "in lieu of" a Bachelor's degree and seven (7) years of advanced data and business analysis experience listed above.
  • Experience must include understanding and developing sound methodologies used for data analysis and reporting, and proficiency in at least one of the following software: SQL, SAS, R, Python, VBA or other related software
  • Experience with common Business Intelligence and Data Visualization tools, advanced knowledge of Excel, demonstrated experience with report/dashboard design and visualization techniques.
  • Strong mathematical background with advanced knowledge in statistical modeling and demonstrated experience in presenting findings and interpreting analyses.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Scientific Services

POST DATE

09/09/2022

EXPIRATION DATE

10/21/2022

WEBSITE

www.moffitt.org

HEADQUARTERS

Tampa, Florida

SIZE

3,000 - 7,500

CEO

Max Anaba

REVENUE

$10M - $50M

INDUSTRY

Scientific Services

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The following is the career advancement route for Data Analyst (Patient Experience) positions, which can be used as a reference in future career path planning. As a Data Analyst (Patient Experience), 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 (Patient Experience). You can explore the career advancement for a Data Analyst (Patient Experience) 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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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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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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