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Entry Level No Experience Data Analyst Jobs (NOW HIRING)

Empower Pharmacy

Customer Experience Data Analyst

POSITION SUMMARY The Customer Experience Data Analyst ensures customer readiness by owning insights and reporting related to onboarding, inquiry resolution, and process clarification to improve ...

Delan Associates, Inc.

Data Analyst

Data Analyst - Healthcare Domain Strictly We are actively seeking an experienced Data Analyst with a strong Healthcare background to join a high-impact project. • Required Skills: 6+ years of ...

Palnar

Data Analyst

Mclean, VA · On-site

* Must Haves: Strong SQL, SAS Experience (Data Research using SAS) Database experience with (Ex: Sybase ((preferred), Oracle, DB2 (preferred)), Strong background in data analysis with experience ...

Judit Inc

Data Analyst

Tallahassee, FL

Comfortable working exclusively through an FDOE-approved secure electronic channel -- no data or ... entry-level hires. Trainable at kickoff. * Prior GRC, IT audit support, or data-QA experience in a ...

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As of Aug 12, 2026, the average hourly pay for entry level no experience data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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Entry-level data analysts without prior experience often face challenges such as learning new analytical tools, understanding complex datasets, and effectively communicating insights to non-technical stakeholders. To overcome these challenges, it's helpful to take advantage of on-the-job training, seek mentorship from experienced team members, and proactively practice using tools like Excel, SQL, and basic data visualization platforms. Additionally, asking questions and participating in team discussions can accelerate your understanding of business objectives and data workflows.

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To thrive as an Entry Level No Experience Data Analyst, you need foundational skills in data interpretation, basic statistics, and proficiency with spreadsheets, typically supported by a relevant degree or coursework. Familiarity with tools like Microsoft Excel, Google Sheets, and introductory exposure to SQL or data visualization platforms such as Tableau is beneficial. Strong attention to detail, eagerness to learn, and clear communication help you effectively analyze data and present findings. These skills and qualities are important because they enable you to gather insights, support decision-making, and grow quickly in a data-driven environment.

What does an entry level no experience data analyst do?

An entry level no experience data analyst assists with collecting, cleaning, and organizing data to help companies make informed decisions. They typically work under supervision, learning how to use data analysis tools like Excel, SQL, or Tableau, and create basic reports or visualizations. While they may not have prior professional experience, they often have foundational knowledge from coursework, online tutorials, or self-study. Their main role is to support the data team while gaining hands-on experience and building their analytical skills.

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To become an entry-level no experience data analyst, focus on developing foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI. Gaining knowledge through online courses, certifications, or internships can help demonstrate your abilities to employers even without prior work experience.
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Infographic showing various Entry Level No Experience Data Analyst job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Customer Experience Data Analyst

Empower Pharmacy

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Empower Pharmacy rating

8.3

Company rating: 8.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

12th of 112 rated pharmacies

Job description

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025.
Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country.
At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions.
If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.
POSITION SUMMARY
The Customer Experience Data Analyst ensures customer readiness by owning insights and reporting related to onboarding, inquiry resolution, and process clarification to improve operational efficiency, customer satisfaction, and business performance. This role manages customer interaction data, documentation accuracy, issue resolution, and cross-functional coordination while supporting consistent service delivery.
Leveraging AI as a force multiplier, the position improves response speed, decision quality, workflow efficiency, knowledge accessibility, and continuous improvement through intelligent automation and actionable insights. Operating within Empower's hyper-growth, highly regulated 503A/503B pharmacy environment, the role balances compliance, quality, and customer experience while supporting scalable operations. Success requires strategic thinking, disciplined execution, exceptional learning agility, collaborative problem-solving, and accountability for delivering strong service outcomes across evolving business priorities.
RESPONSIBILITIES
Customer Onboarding and Analytics
  • Onboarding Management: Measure end-to-end customer onboarding activities, validate required information, identify process efficiencies, educate stakeholders, and support seamless transitions into operational workflows. Utilize AI-powered knowledge tools, workflow automation, and intelligent recommendations to accelerate onboarding timelines, improve documentation quality, enhance decision-making, and deliver consistent customer experiences while maintaining compliance with organizational standards.
  • Analytical Scoping: Partner with business stakeholders to define open-ended analytical questions and translate them into structured analyses. Apply AI-assisted validation, document review, and exception detection capabilities to improve accuracy, reduce processing delays, support informed decision-making, and maintain high-quality onboarding outcomes within a regulated operational environment.
  • Experimentation: Design and analyze experiments, including A/B tests and cohort studies, to measure the impact of product, process, or business changes. Clearly communicate findings, limitations, and recommendations to technical and non-technical stakeholders.
  • Predictive Analysis: Build predictive and diagnostic models, such as churn-driver analyses and customer lifetime value segmentation, to identify trends, explain performance, and support data-informed business decisions.
  • Opportunity Identification: Proactively explore data to identify business opportunities, operational risks, customer experience trends, and areas requiring further investigation or intervention.
  • Data Partnership: Collaborate with Data Engineering and other technical partners to ensure the data required for analysis is available, accurate, reliable, and appropriately structured.

Operational Excellence
  • Process Improvement: Continuously evaluate onboarding workflows, clarification processes, documentation standards, and customer interactions to identify opportunities that improve efficiency and service quality. Utilize AI-powered analytics, trend identification, and process automation recommendations to streamline operations, eliminate repetitive work, improve decision-making, and strengthen scalable customer support capabilities.
  • Quality Assurance: Maintain high-quality standards by reviewing documentation accuracy, adherence to procedures, customer communications, and regulatory requirements while identifying opportunities to improve operational consistency. Leverage AI-enabled quality monitoring, content validation, and performance insights to strengthen compliance, reduce errors, and improve service delivery throughout customer onboarding and clarification activities.
  • Performance Insights: Track onboarding performance, clarification trends, customer feedback, and operational metrics to identify patterns that support business decisions and continuous improvement initiatives. Utilize AI-driven dashboards, predictive analytics, and reporting capabilities to generate actionable insights, improve resource prioritization, enhance customer experiences, and support scalable service delivery.
  • Stakeholder Communication: Translate complex analyses into clear findings, recommendations, and business implications for non-technical stakeholders and leadership. Develop concise presentations, dashboards, and written summaries that support timely decision-making.
  • Documentation and Governance: Maintain accurate analytical documentation, metric definitions, assumptions, methodologies, and reporting standards. Ensure analyses are reproducible, appropriately validated, and aligned with data governance, privacy, security, and regulatory expectations.

KNOWLEDGE AND SKILLS
  • Demonstrated knowledge of customer onboarding, customer service operations, issue resolution, process documentation, cross-functional collaboration, and continuous improvement within fast-paced, customer-focused environments.
  • Strong SQL skills with the ability to write complex queries, combine multiple data sources, validate results, and analyze large datasets.
  • Experience using statistical and analytical tools such as Python or R to conduct advanced analysis, build models, and automate repeatable workflows.
  • Knowledge of experimental design, A/B testing, cohort analysis, predictive modeling, segmentation, and foundational causal inference concepts.
  • Proficiency with CRM platforms, knowledge management systems, workflow applications, reporting dashboards, Microsoft Office applications, AI-enabled productivity tools, and digital collaboration technologies.
  • Strong analytical storytelling skills with the ability to translate complex findings into a clear point of view, actionable recommendations, and measurable business outcomes.
  • Strong communication, organizational, and problem-solving skills with the ability to prioritize competing responsibilities, manage ambiguity, and influence positive outcomes across diverse stakeholders.
  • Ability to leverage AI responsibly for knowledge retrieval, workflow automation, documentation, customer communications, performance analysis, predictive insights, and decision support while maintaining compliance, accuracy, privacy, and human accountability.

EXPERIENCE AND QUALIFICATIONS
  • Associate's or Bachelor's degree in Business, Mathematics, Statistics, Data Analytics, Healthcare Administration, or a related discipline preferred.
  • Three (3) or more years of experience in a Data Analyst, Business Analyst, Customer Experience Analyst, or similar analytical role.
  • Demonstrated experience writing complex SQL queries and analyzing large datasets.
  • Experience using Python, R, or a comparable statistical or analytical tool for advanced analysis.
  • Demonstrated ability to design, analyze, and interpret experiments, including A/B testing and cohort studies.
  • Experience developing predictive or diagnostic analyses, such as churn analysis, segmentation, or customer lifetime value modeling, preferred.
  • Demonstrated ability to independently scope analytical work from loosely defined business questions and operate effectively in ambiguous environments.
  • Experience presenting findings and recommendations directly to non-technical stakeholders and leadership.
  • Demonstrated proficiency with CRM systems, Microsoft Office applications, reporting tools, and digital collaboration platforms.
  • Experience using AI-enabled productivity, documentation, analytics, or customer support technologies to improve service quality and operational efficiency preferred.
  • Strong attention to detail, organizational skills, communication abilities, and commitment to delivering exceptional customer experiences while maintaining operational accuracy and regulatory compliance.

Key Competencies:
  • Customer Focus: Builds trust through customer-centric solutions.
  • Strategic AI: Guides responsible AI adoption and adaptation.
  • Optimizes Work Processes: Drives efficiency with continuous improvement.
  • Collaborates: Partners effectively to achieve shared goals.
  • Resourcefulness: Secures and deploys resources efficiently.
  • Manages Complexity: Simplifies and solves complex challenges.
  • Ensures Accountability: Delivers on commitments with integrity.
  • Situational Adaptability: Adjusts approach to shifting conditions.
  • Communicates Effectively: Tailors messages to diverse audiences.

Values:
  • People: Empowering people defines who we are.
  • Quality: Excellence in every product, every time.
  • Service: Serving others is our highest purpose.
  • Innovation: Advancing care through technology and discovery.

Employee Benefits, Health and Wellness:
We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/
Physical Requirements:
While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

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