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Associate Emr Analyst Jobs (NOW HIRING)

Borland Groover

Applications Analyst

Jacksonville, FL · On-site

Serve as primary support for practice applications, with emphasis on patient management, EMR and ... High school diploma or equivalent required, associate or bachelor's degree preferred. WORKING ...

Borland Groover

Applications Analyst

Jacksonville, FL · On-site

Serve as primary support for practice applications, with emphasis on patient management, EMR and ... High school diploma or equivalent required, associate or bachelor's degree preferred. WORKING ...

Strive Health

Sr. Data Analyst

Denver, CO

$85K - $104K/yr

The associate's primary focus will be supporting and advancing initiatives across analytics and ... Working knowledge of analyzing medical claim, lab data, EMR data and clinical data. * High degree ...

GLFHC

IS Applications Systems Analyst, Jr

Methuen, MA · On-site

Document simple EMR/PM steps and maintain reference materials to support system reliability ... Associate's or Bachelor's degree in Computer Science, Healthcare, Business, or related field; or ...

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Associate Emr Analyst information

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How much do associate emr analyst jobs pay per month?

As of Sep 5, 2026, the average monthly pay for associate emr analyst in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What is the difference between Associate Emr Analyst vs Clinical Data Analyst?

AspectAssociate Emr AnalystClinical Data Analyst
Required CredentialsBachelor's in Health Informatics, IT, or related field; certifications like Epic or Cerner are commonBachelor's in Health Sciences, Statistics, or related; often requires knowledge of clinical data systems
Work EnvironmentHospitals, clinics, healthcare IT companiesResearch institutions, healthcare organizations, pharmaceutical companies
Employer & Industry UsageHealthcare providers, EMR vendorsClinical research, healthcare analytics
Common Search & ComparisonYesYes

The Associate Emr Analyst primarily focuses on supporting and optimizing electronic medical record systems within healthcare settings, while the Clinical Data Analyst specializes in analyzing clinical data for research and quality improvement. Both roles require healthcare IT knowledge, but their core responsibilities and work environments differ.

How to become an associate EMR analyst?

To become an associate EMR analyst, candidates typically need a bachelor's degree in health information management, computer science, or a related field. Relevant skills include knowledge of electronic medical records systems, data analysis, and healthcare workflows, often supported by certifications such as Certified Health Data Analyst (CHDA) or Epic certifications. Gaining experience through internships or entry-level roles in healthcare IT can also improve job prospects.

What is the role of Associate EMR analyst?

An Associate EMR Analyst supports the implementation, maintenance, and optimization of electronic medical records (EMR) systems. They assist with data entry, troubleshooting, user training, and system testing, often working closely with healthcare providers and IT teams to ensure efficient and accurate record management.

What is the role of an associate EMR analyst?

An associate EMR analyst supports the implementation, maintenance, and optimization of electronic medical records systems. They assist with data management, troubleshoot technical issues, and collaborate with healthcare staff to improve system workflows, often using tools like Epic or Cerner. This role typically requires strong technical skills and understanding of healthcare processes.
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Associate Emr Analyst jobs near you
Infographic showing various Associate Emr Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Quant Analyst- Senior Associate

JPMorgan Chase & Co.

Manhattan, NY • On-site

$109K - $165K/yr

Full-time

Medical, Retirement

Posted 16 days ago

Key responsibilities

  • Deliver effective quantitative problem solving and analytical research for key pricing initiatives

  • Design and implement scalable and reliable data analytics processes to optimize business outcomes

  • Own and support strategic pricing initiatives, including evaluating effectiveness and performing profit & loss analysis

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description


Join a team that unifies diverse talent to transform business outcomes through data governance, strategy, reporting, and advanced analytics.
As a Quant Analytics Senior Associate within the Consumer & Community Banking Data & Analytics team, you will be focused on defining, refining and delivering set goals for pricing business and responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objective.
Job Responsibilities
  • Deliver effective quantitative problem solving and analytical research for key pricing initiatives
  • Apply deep understanding of business and data analytical techniques to research and experimentation
  • Lead, mentor, hire, and develop a high-performing team of analytics professionals, promoting scientific rigor, ethical AI, and continuous learning
  • Maintain a pragmatic approach to GenAI/LLMs as complementary tools, prioritizing classical/statistical/graph analytical methods for core pricing strategy workstreams
  • Partner with cross-functional teams, including Finance and Marketing, to drive impactful results
  • Design and implement scalable and reliable data analytics processes to optimize business outcomes
  • Conduct extensive analysis of pricing functionality, settings, and customer behavior to improve strategies and policies using advanced research and quantitative techniques
  • Own and support strategic pricing initiatives, including evaluating effectiveness and performing profit & loss analysis to quantify statistical and practical significance
  • Solve unstructured business problems and develop deep-dive analysis of customer behavior using multiple analytics and statistical techniques
  • Conduct hypothesis testing and advanced experimental design, including A/B and multivariate tests, to measure the impact and effectiveness of pricing strategies

Required Qualifications, Capabilities, and Skills
  • Graduate or post-graduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning
  • 3+ years of hands-on analytics experience in banking strategic analytics along with Python, SQL and visualization tool including Tableau & Alteryx.
  • Hands on experience in Python, SQL and visualization tool including Tableau with machine learning frameworks
  • Strong statistical and econometric foundation with hands-on experience in pricing analytics, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks
  • Solid skills in advanced analytics with SAS, Python, or R language
  • Excellent communication skills to translate and explain complex models with clear reason codes, influencing cross-functional stakeholders and senior leadership
  • Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs
  • Ability to evaluate opportunities to apply AI, GenAI, or intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency
  • Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration/threshold optimization, imbalanced learning, and pricing sensitivity evaluation

Preferred qualifications, capabilities, and skills
  • Proficient in big data ETL processes for structured and unstructured databases
  • Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake
  • Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.
  • People leadership: recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.
  • Good understanding of IT processes and databases, with ability to work directly with data owners and custodians

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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