Healthcare Data Analyst – Experienced Jobs

·Excellent communication skills with ability to interact with business teams to elicit business requirements

Barrington – IL – Remote

Job Location: Barrington – IL – Remote

Experience : 8 to 12yrs.

Required Skills : MySQL ,Business Analysis

Nice to have skills : Data Build Tool, Business Reports

Bachelor’s degree (preferably in Information Systems, Computer Science, Statistics, Business Management, or related fields).

Knowledge or experience in health care analytics.

4+ years of experience in SQL scripting and data manipulation languages.

Strong experience in data quality disciplines, documentation, and testing.

Effective communication skills across technical teams.

Experience in healthcare industry data (X12, CPT/HCPCS, ICD-10).

Identifies team knowledge gaps and works with management to address

Leads team members in projects and participation in team goals, including process improvement and other knowledge-sharing activities

Strong knowledge of relational databases and database theories and concepts

Advanced knowledge of healthcare metrics, trends, and complex analytical and financial modeling techniques and methodologies

Excellent verbal and written communication skills

Bachelor’s Degree in health administration, business administration, statistics, finance, business analytics or related field preferred or equivalent

Working knowledge of relational databases and database theories and concepts

Skilled at creating reports and visualizations that meet business needs and tell a story with the data that helps drive decision-making

Able to apply knowledge as appropriate to develop reports and analyses

Solid verbal and written communication skills

Bachelor’s Degree in health administration, business administration, statistics, finance, business analytics or related field preferred or equivalent

2+ years’ experience performing data analysis in a health care claims setting

At least 2 years of proven experience as a Data Analyst, with a strong background in data analysis and SQL querying.

Previous exposure to healthcare data and knowledge of industry-specific terminologies and regulations are highly desirable.

Excellent problem-solving skills and the ability to present complex information in a clear and concise manner.

A team player with excellent communication skills and the ability to collaborate effectively in a cross-functional environment.

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

Familiarity with data visualization tools such as Tableau, Power BI, or similar.

* Experience in data science/analytics with a focus on product and user analysis

* Strong communication skills and patience when working with multiple stakeholders simultaneously

* Theoretical Experimentation/AB Testing knowledge as well as its applications in a product and marketing setting

* Prior experience with Business Insight tools such as Tableau, Mode Analytics, Looker, etc.

* 2-3 years of data analysis experience, preferably in the healthcare industry

* SQL experience required; Google Analytics and Python a nice-to-have

3+ years of experience working in a Managed Care (Medicare experience preferred)

Assist in designing an overall suite of analytic capabilities and actionable reports to monitor risk adjustment performance

Develop and maintain customized reports and dashboards for the Finance department using various tools (SQL, Tableau, and SAS).

3+ years of strong experience working with SQL, Tableau and SAS

Perform data analysis to optimize risk adjusted revenue and provide insights to stakeholders

Serve as a subject matter expert for the risk adjustment model, reporting and analysis

Experience with creating user stories / assisting Product owners to define the same for business requirements.

Experience and detailed knowledge SQL, dimensional and OLAP databases and technologies.

5+ years of experience in Healthcare Domain Knowledge.

Strong analytical skills to analyze data sets and identify patterns.

Experience working in Agile environment and methodologies.

Has been a liaison & coordinating between data modeling, data mapping, source system SME, development, testing and business teams.

Develop procedures to enhance healthcare and Medicare data query and reporting capabilities.

Maintain documentation of business specifications pertinent to the business requirements.

Strong Microsoft Excel modeling (or VBA), reporting and analysis experience with an ability to interpret and synthesize complex data sets.

The appropriate individual will have demonstrated experience in the following:

Design and model data extractions that provide comprehensive assessments of trends and data.

Provide fundamental analytical support to the organization by developing and promoting consistent analytical methodologies.

Knowledge of HIPAA, EDI and Healthcare X12 transactions preferred

At least one (1) or more year experience interacting with 270/271 transaction and/or other insurance clearinghouse transaction sets

At least two (2) or more years industry experience in healthcare, life sciences and/or patient services required

Working knowledge of writing and reading SQL queries is preferred

Experience manipulating, analyzing, and researching large amounts of data

Superior troubleshooting, analysis and problem-solving capabilities

Excellent multitasking and prioritization skills with a proven ability to manage multiple, simultaneous projects to completion.

Competitive salary based on your experience and skills – we believe the top talent deserves the top dollar

2-5 years’ experience working in health plan or provider analytics, preferably in risk adjustment or quality.

Experience working in PowerBI or Tableau

Direct experience with risk adjustment (Medicare advantage and/or ACA) understanding core metrics such as condition prevalence, HCC scoring, etc. 

Experience pulling data from disparate platforms to create an accurate unified picture used to drive business decisions.

This position is 100% remote

2-3 years experience in a data analytics-type role.

Proven experience in healthcare enrollment and eligibility processes (EDI 834)

Experience in identifying and resolving enrollment-related issues and errors.

Excellent communication skills both written and verbal

Resources need to be local to Eastern and Central Time Zones

Working with management to prioritize business and information needs

Facilitating clear day-to-day communications with customers, contributing to the ClaimReturn experience

Familiarity and experience with reporting packages

Strong analytical skills / aptitude with the ability to collect, organize, analyze, and disseminate significant amounts of information

Interpreting data, analyzing results, using statistical techniques, and providing ongoing reports

Developing and implementing data analytics and other strategies that optimize data integrity

· Knowledge of data management applications.

· Analyzing data to assist in delivering optimal healthcare management and decision-making.

· Communicating analytic insights to management.

· 5+ years experience in a healthcare analytic role.

· Experience with data visualization tools.

· Analytical mindset with good problem-solving skills.

Knowledge of data modeling concepts and experience in developing data models for analytics.

Location: Portland, OR (Hybrid or Remote would be fine)

Note: Looking for someone with Data Analyst profiles, Strong SQL and sounds knowledge on Clinical Trails.

Minimum of 8 years of experience as a Data Analyst, preferably in a healthcare or clinical setting.

Experience building data marts and working in a cloud-based environment (e.g., AWS, Azure, Google Cloud).

Strong analytical skills with the ability to identify patterns, trends, and insights from complex data sets.

Data management experience; knowledgeable in database rules, writing queries, and relational database creation and management (create, query, relate)

2 or more years of relevant work experience

Advanced Microsoft Excel skills (PowerPivot, functions, VBA)

Proficient in writing SQL queries on large data sets with complex data models

Salary: 110k (some flexibility here for the right candidate!)

4. 10% ad hoc queries

Strong knowledge and experience with reporting packages, databases, and programming including predictive analytics and regression models.

Expert knowledge of mathematical and statistical methods and experience using statistical packages for analyzing datasets.

Strong working knowledge of medical terminology, medical coding and billing, claims processing procedures and considerations, and clinical data and data requirements.

Knowledge of data requirements associated with PPI.

Mentor and train new or more junior analysts regarding concepts, quantitative techniques, and professional skills.

Advanced skills with advanced analytics tools and methods including multivariate, regressions, random forest, cluster analysis, decision trees, and neural networks.

Data analysis skills and previous experience using Microsoft software tools (Excel, PowerPoint, Word, and Access).

OMOP data model work experience is required.

Experience with clinical data, EHR or pharmaceutical data is required.

3 years of related experience preferably working with pharmaceutical data. Req

Knowledge and understanding of the fundamental processes of the business.

Knowledge of the methods, tools and techniques, related to one’s functional area.

Minimum of 3-5 years of related work experience or equivalent combination of education and experience. Master’s degree or PhD preferred.

Applies knowledge of healthcare and interventions to improve member experience and achieve cost containment and other corporate objectives.

Applies knowledge of state and federal regulatory policies and procedures to program analysis and recommended actions.

Extract, sort, cleanse, aggregate and process data from multiple sources, developing queries and reports based on business requirements.

Perform responsibilities above with an increased degree of independence and self-direction.

Experience with pre-processing of data, such as cleansing, aggregating, sorting, and combining data. Ability to combine multiple sources of data.

Interacts with team members and stakeholders using professional communication skills.

When working remotely, there is no dress code.

Acquire data from different sources and people

Inspect, filter, and “clean” data by writing code in SAS and R

Identify common errors in data sources by writing code in SAS and R

Email healthcare facilities that report out of range data or didn't report data using MS Outlook