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URL: https://jobs.bswhealth.com/us/en/job/24004411/Healthcare-CX-Research-Data-Scientist
Submission: On April 24 via manual from US — Scanned from DE

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HEALTHCARE CX RESEARCH DATA SCIENTIST


Location Dallas, Texas, United States Category Technology Job Type Full Time Day
Job Job Id 24004411


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JOB DESCRIPTION

JOB SUMMARY

As a Senior CX Researcher, you hold a pivotal role in advancing customer
experience and driving innovation across our digital products and services. Your
expertise will be crucial in leading a research testing and evaluation data
analytics capability, visualizing data in a way that informs the overall
experience for patients, healthcare providers, and other stakeholders. Our team
is responsible for quantifying customer behavior through the use of measurable
data and outcomes. That means you will collaborate extensively within the team
and cross-functional to spearhead quantitative research testing efforts,
distilling complex findings into actionable customer insights. This role
requires a proven track record in conducting data collection and statistical
analysis methods to measure customer experience impact and showcasing an
understanding of data driven user-centric design. Your role will involve
translating research data findings into powerful stories that galvanize the
organization to action on valuable insights and recommendations.

Your passion for collaboration, combined with your drive to effect positive
change, will make you a key asset in our pursuit of exceptional user
satisfaction. 

SALARY

The pay range for this position is $86,008 (entry-level qualifications) -
$150,300 (highly experienced) The specific rate will depend upon the successful
candidate’s specific qualifications and prior experience. 

ESSENTIAL FUNCTIONS OF THE ROLE


Design and execute a comprehensive CX and UX research testing statistical
analysis strategy.

Build out the CX/UX analyutics capability through database management, data
collection, data visualization and other quantifiable data analysis
methodologies and tools to define program standards including what to measure
and how to measure it.

Spearhead and execute large and complex customer testing research data
initiatives, uncovering user needs, trends and signals that drive innovation in
our digital products and services.

Lead the customer experience and user experience research testing team as the
subject matter expert owning the discipline, providing recommendations and
guidance on the ideal CX analytics approach. 

Strategically plan and execute data collection best practices, demonstrating
mastery in data modeling and visualization.

Effectively tell the story through expertly analyzed and synthesized customer
experience research testing data from multiple sources, using correlations,
regression models, statistical significance, etc. to ultimately provide
actionable insights that guide product and services strategy.

Collaborate seamlessly with peers and cross-functional teams, leading the
integration of customer experience metrics with product and service design
through dashboards and reports. 

Possess an in-depth understanding of the healthcare industry, utilizing trends
and regulations to shape dashboard and reporting views within compliance. 

Champion customer experience data analytics as a tool for strategic foresight,
influencing stakeholders at all levels of the organization on what to measure,
how to measure it and potential opportunities.

Continuously stay at the forefront of statistical analysis, data modeling and
visualization methodologies, tools, and industry trends, refining processes and
applying scenario planning outcomes to the customer experience organization.

KEY SUCCESS FACTORS

Exemplify a deep sense of empathy and relentless curiosity, seeking to uncover
the intricacies of user motivations and behaviors.

Bachelor's degree in a relevant field such as Human-Computer Interaction,
Computer Science, Business Analytics, Mathematics, Data Science, Statistical
Data Analysis, or a related discipline. 

Proven experience as a Data Scientist, Data Engineer, Machine Learning Engineer,
Data Principal, Customer Intelligence Analyst, CX Analytics Analyst,
Quantitative Analyst, etc., with a strong portfolio demontstrating successful
outcomes and the ability to influence corporate strategy through story-telling. 

Expertise in conducting quantitative statistical analysis methods, such as
segmentation, text mining, trend analysis, correlation, signal monitoring,
scenario planning, artificial intelligence, machine learning, etc. 

Proficiency in analyzing large data sets and synthesizing findings into clear,
concise and actionable insights and recommendations.

Excellent communication skills, with the ability to effectively articulate
research findings to both technical and non-technical stakeholders through
sufficient communication and visualization.

Strong knowledge of statistical analysis principles and best practices, with an
understanding of how data informs customer experience decisions. 

Familiarity with healthcare industry trends, customer conversion and retention,
patient engagement, and regulatory considerations is highly desirable, but not
required.

Proficiency in using tools and software, such as Pandas, Caret, Power BI,
Tableau, Python, R, MySQL, SPSS, Apache Hadoop, Salesforce and other analytics
and CRM platforms.

Proven ability to improve customer experience, identifying insights for
continuous improvement and communicating an impactful story to influence the
organization through the use of data. 

Ability to work independently and manage multiple projects simultaneously, while
adhering to deadlines

Leadership skills, with the ability to inspire and mentor junior data analysts,
and collaborate effectively with cross-functional teams. 



SCHEDULE: Full Time

LOCATION: Remote

BENEFITS

Our competitive benefits package includes the following
- Immediate eligibility for health and welfare benefits
- 401(k) savings plan with dollar-for-dollar match up to 5%
- Tuition Reimbursement
- PTO accrual beginning Day 1
Note: Benefits may vary based upon position type and/or level



QUALIFICATIONS



 * EDUCATION - Bachelor's or 4 years of work experience above the minimum
   qualification
 *  EXPERIENCE - 5 Years of Experience


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