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Associate Emr Analyst Jobs in New York (NOW HIRING)

Socket.dev

Quant Analyst- Senior Associate

Manhattan, NY · On-site

$130 - $190/hr

As a Quant Analytics Senior Associate within the Consumer & Community Banking Data & Analytics team ... Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake * Exposure to ...

MSD

Associate Director, D&A Strategy

Rahway, NJ

... data, claims/EMR data and other sources across US and exUS) to develop insights that inform ... Ensure analytical rigor, consistency, and transparency of assumptions and methodologies.

Merck & Co.

Associate Director, D&A Strategy

Rahway, NJ · On-site

Strategic insights & analytics for Precision MedicineDevelop and own commercial insight generation ... Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of ...

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Associate Emr Analyst information

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.

What are the most commonly searched types of Emr Analyst jobs in New York?

The most popular types of Emr Analyst jobs in New York are:

What are popular job titles related to Associate Emr Analyst jobs in New York?

For Associate Emr Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Associate Emr Analyst jobs in New York look for?

The top searched job categories for Associate Emr Analyst jobs in New York are:

What cities in New York are hiring for Associate Emr Analyst jobs?

Cities in New York with the most Associate Emr Analyst job openings:

Associate Emr Analyst jobs near you
Infographic showing various Associate Emr Analyst job openings in New York as of June 2026, with employment types broken down into 69% Full Time, 30% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Quant Analyst- Senior Associate

JPMorgan Chase & Co.

Manhattan, NY • On-site

$120 - $190/hr

Other

Posted 15 days ago

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

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