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Careoregon Interview Questions

Careoregon Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Careoregon Salaries by Position

Career Opportunities: Data Science Analyst III (24282) Requisition ID 24282 - Posted 06/12/2024 - CareOregon - Full Time - Permanent - Portland - Multi Location (17) Job Description Print Preview Candidates hired for remote positions must reside in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin. Job Title Data Science Analyst III Exemption Status Exempt Department Business Intelligence Manager Title Healthcare Analyst Manager Direct Reports n/a Requisition 24282 Pay and Benefits Estimated hiring range $121,770 - $148,830 /year, 5% bonus target, full benefits. www.careoregon.org/about-us/careers/benefits Posting Notes This is a fully remote role, but you must reside in one of the listed 9 states. Job Summary This position is responsible for proactively identifying opportunities and developing algorithms, models, data structures and data products to facilitate production of insights from healthcare claims, enrollment, and other related data. The core function of this position is to lead efforts to translate complex data into meaningful information for decision makers. Focus areas include cost and utilization of health services, financial trending, member, and provider experience. In addition, the position is responsible for ensuring the completeness and integrity of data used for analysis and collaborating across departments within a multi-function, mission critical environment. This position is also responsible for training and mentoring other analysts and staff in the organization and act as subject matter expert for their domain. Essential Responsibilities Lead in the development of research methods and data analysis plans related to healthcare utilization, cost trends, financial forecasting, member, and provider experience. Lead and direct efforts for complex analysis projects, such as building models, algorithms, data products, etc.; expertly manage stakeholders, cross-functional team relationships and set appropriate expectations; summarize and communicate outcomes of analysis projects. Expertly use appropriate software tools to retrieve, edit and tabulate data from various databases and files. Conduct descriptive, prescriptive, predictive analyses. Lead in the summarization of complex data for leadership in the appropriate form (e.g., statistical summaries, narratives, charts, tables, graphs, etc.) to convey meaning, significance, and actionable information. Lead in the research and development of models, algorithms, and analysis tools to mature the use and creation of self-service data products at CareOregon. Develop visual reporting (e.g., dashboards, scorecards, etc.) using data visualization tools such as Tableau when appropriate. Develop appropriate subject matter, domain expertise and serve as an expert resource. Collaborate with other subject matter experts to identify opportunities for building repeatable data products. Collaborate with business teams to understand business needs and to illicit and document requirements for analytics, algorithms, models, etc. Lead in the development of reporting tools to comply with regulatory reporting requirements. Lead in the review and assessment of data completeness, validity, and reliability used for analysis and reporting. Create and maintain technical documentation such as data dictionaries, business glossaries, metric definitions, and other data resources. Thoroughly document models, algorithms, data products, processes and any analysis, reports developed. Contribute to, and actively participate in, community of practice to improve the skills and capabilities of other analysts at CareOregon. Train and mentor junior analysts in the organization. Assist with, prepare, and/or deliver presentations to community groups, regulatory agencies, leadership, and other teams as needed. Organizational Responsibilities Perform work in alignment with the organization's mission, vision and values. Support the organization's commitment to equity, diversity and inclusion by fostering a culture of open mindedness, cultural awareness, compassion and respect for all individuals. Strive to meet annual business goals in support of the organization's strategic goals. Adhere to the organization's policies, procedures and other relevant compliance needs. Perform other duties as needed. Experience and/or Education Required Minimum 5 years' experience in an analyst role; experience should include the following: Advanced skills with statistical software packages, such as Python, R, or SAS Proficient in analytical techniques including segmentation and data mining Experience planning, implementing, and summarizing complex analysis and reporting projects Experience with building reusable models, algorithms, and data structures Experience in the healthcare or health insurance industry Engaging both technical and non-technical stakeholders Preferred Master or bachelor's degree in STEM, Finance, Economics, Business Administration or Public Health Experience with machine learning, including clustering algorithms, decision tree learning, artificial neural networks, etc. Experience with Snowflake or Azure Databricks Experience with GeoAnalytics Experience with analysis customer/marketing data Knowledge, Skills and Abilities Required Knowledge Understanding of data warehousing and data structures Knowledge of Agile development processes Skills and Abilities Skilled in at least one healthcare data domain (e.g., medical claims, pharmacy claims, dental claims, clinical data, etc.) Skills with Business Intelligence applications, such as Tableau Desktop/Creator Excellent critical thinking and problem-solving skills Strong spoken, written, and listening communication skills Ability to develop advanced queries to independently gather, compile and analyze data using statistical methods and ability to guide and coach junior team members in this area, as needed Ability to effectively synthesize and present actionable interpretations of complex information to internal and external stakeholders Ability to manage expectations and relationships with diverse stakeholder groups and cross functional teams Ability to provide leadership and oversight of research and analytical projects Ability and willingness to continually learn new skills Ability to manage multiple tasks concurrently Ability to work effectively with diverse individuals and groups Ability to learn, focus, understand, and evaluate information and determine appropriate actions Ability to accept direction and feedback, as well as tolerate and manage stress Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day Ability to hear and speak clearly for at least 3-6 hours/day Working Conditions Work Environment(s): Indoor/Office Community Facilities/Security Outdoor Exposure Member/Patient Facing: No Telephonic In Person Hazards: May include, but not limited to, physical and ergonomic hazards. Equipment: General office equipment Travel: May include occasional required or optional travel outside of the workplace; the employee's personal vehicle, local transit or other means of transportation may be used. MULTI Candidates of color are strongly encouraged to apply. CareOregon is committed to building a linguistically and culturally diverse and inclusive work environment. Veterans are strongly encouraged to apply. We are an equal opportunity employer. CareOregon considers all candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or veteran status. Visa sponsorship is not available at this time.

<h5 id="candidateProfileTitle">Career Opportunities: Data Science Analyst II (24267)</h5>






























































































































Requisition ID 24267 - Posted 08/22/2024 - CareOregon - Full Time - Permanent - Portland - Multi Location (9)


 
 Job Description Print Preview
 


 
 
 
 
 
 
 
 
 
	 		
	 	 
 
 

		

 

		
 
 

			
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
 
 
 
 
 
 
 
 

 

 
 
 

 
 
 
 
 
 
 

Candidates hired for remote positions must reside in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.
 


	
		
			
			Job Title
			
			
			Data Science Analyst II
			
		
		
			
			Exemption Status
			
			
			Exempt
			
		
		
			
			Department
			
			
			Business Intelligence
			
		
		
			
			Manager Title
			
			
			Healthcare Analyst Manager
			
		
		
			
			Direct Reports
			
			
			n/a
			
		
		
			
			Requisition #
			
			
			24267
			
		
		
			
			Pay & Benefits
			
			
			Estimated hiring range $107,910 - $130,570 / year, 5% bonus target, full benefits. www.careoregon.org/about-us/careers/benefits
			
		
		
			
			Posting Notes
			
			
			This is a fully remote position, but you must reside in one of the listed 9 states
			
		
	




<h5>Job Summary</h5>

This position is responsible for proactively identifying opportunities and developing algorithms, models, data structures and data products to facilitate production of insights from healthcare claims, enrollment, and other related data. The core function of this position is to translate complex data into meaningful information for decision makers. Focus areas include cost and utilization of health services, financial trending, member, and provider experience. In addition, the position is responsible for ensuring the completeness and integrity of data used for analysis and collaborating across departments within a multi-function, mission critical environment. This position is also responsible for training and mentoring junior analysts in the organization and act as subject matter expert for their domain. This is an intermediate level position that performs with minimal oversight.



<h5>Essential Responsibilities</h5>

<ul>
	<li>Develop research methods and data analysis plans related to healthcare utilization, cost trends, financial forecasting, member, and provider experience.</li>
	<li>Expertly use appropriate software tools to retrieve, edit and tabulate data from various databases and files. </li>
	<li>Conduct descriptive, prescriptive, predictive analyses. </li>
	<li>Summarize complex data for leadership in the appropriate form (e.g., statistical summaries, narratives, charts, tables, graphs, etc.) to convey meaning, significance, and actionable information.</li>
	<li>Contribute/Lead in the research and development of models, algorithms, and analysis tools to mature the use and creation of self-service data products at CareOregon.</li>
	<li>Develop visual reporting (e.g., dashboards, scorecards, etc.) using data visualization tools such as Tableau when appropriate. </li>
	<li>Develop appropriate subject matter, domain expertise and serve as an expert resource.</li>
	<li>Collaborate with other subject matter experts to identify opportunities for building repeatable data products.</li>
	<li>Collaborate with business teams to understand business needs and to illicit and document requirements for analytics, algorithms, models, etc.</li>
	<li>Develop reporting tools to comply with regulatory reporting requirements. </li>
	<li>Review and assess completeness, validity, and reliability of internal data used for analysis and reporting. </li>
	<li>Create and maintain technical documentation such as data dictionaries, business glossaries, metric definitions, and other data resources</li>
	<li>Thoroughly document models, algorithms, data products, processes and any analysis, reports developed. </li>
	<li>Contribute to, and actively participate in, community of practice to improve the skills and capabilities of other analysts at CareOregon.</li>
	<li>Assist with, prepare, and/or deliver presentations to community groups, regulatory agencies, leadership, and other teams as needed.</li>
</ul>



<h5>Organizational Responsibilities</h5>

<ul>
	<li>Perform work in alignment with the organization's mission, vision and values.</li>
	<li>Support the organization's commitment to equity, diversity and inclusion by fostering a culture of open mindedness, cultural awareness, compassion and respect for all individuals.</li>
	<li>Strive to meet annual business goals in support of the organization's strategic goals.</li>
	<li>Adhere to the organization's policies, procedures and other relevant compliance needs.</li>
	<li>Perform other duties as needed.</li>
</ul>



Experience and/or Education

Required

<ul>
	<li>Minimum 3 years' experience in an analyst role; experience should include the following:</li>
</ul>

<ul>
	<li>Proficient with statistical software packages, such as Python, R, or SAS</li>
	<li>Use of analytical techniques including segmentation and data mining</li>
	<li>Experience planning, implementing, and summarizing analysis and reporting projects</li>
	<li>Engaging both technical and non-technical stakeholders</li>
</ul>

Preferred

<ul>
	<li>Master or bachelor's degree in STEM, Finance, Economics, Business Administration or Public Health</li>
	<li>Experience with at least one healthcare data domain (e.g., medical claims, pharmacy claims, dental claims, clinical data, etc.)</li>
	<li>Experience in the healthcare or health insurance industry</li>
	<li>Experience with machine learning, including clustering algorithms, decision tree learning, artificial neural networks, etc.</li>
	<li>Experience with Snowflake or Azure Databricks</li>
	<li>Experience with GeoAnalytics </li>
	<li>Experience with analysis customer/marketing data</li>
</ul>



<h5>Knowledge, Skills and Abilities Required</h5>

Knowledge

<ul>
	<li>Understanding of data warehousing and data structures </li>
	<li>Knowledge of Agile development processes</li>
</ul>

Skills and Abilities

<ul>
	<li>Skills with Business Intelligence applications, such as Tableau Desktop/Creator</li>
	<li>Excellent critical thinking and problem-solving skills</li>
	<li>Strong spoken, written and listening communication skills</li>
	<li>Ability to independently gather, compile and analyze data using statistical methods and ability to guide and coach junior team members in this area as needed </li>
	<li>Ability to effectively synthesize and present actionable interpretations of complex information to internal and external stakeholders</li>
	<li>Ability and willingness to continually learn new skills</li>
	<li>Ability to manage multiple tasks concurrently</li>
	<li>Ability to work effectively with diverse individuals and groups</li>
	<li>Ability to learn, focus, understand, and evaluate information and determine appropriate actions</li>
	<li>Ability to accept direction and feedback, as well as tolerate and manage stress</li>
	<li>Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day</li>
	<li>Ability to hear and speak clearly for at least 3-6 hours/day</li>
</ul>



Working Conditions

Work Environment(s): Indoor/Office Community Facilities/Security Outdoor Exposure

Member/Patient Facing: No Telephonic In Person

 Hazards: May include, but not limited to, physical and ergonomic hazards. 

Equipment: General office equipment

Travel: May include occasional required or optional travel outside of the workplace; the employee's personal vehicle, local transit or other means of transportation may be used.





LI-REMOTE
 Candidates of color are strongly encouraged to apply. CareOregon is committed to building a linguistically and culturally diverse and inclusive work environment.

Veterans are strongly encouraged to apply.

We are an equal opportunity employer. CareOregon considers all candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or veteran status.

Visa sponsorship is not available at this time.Email this job to a friend

 



 
 
 
 
 
 
 
 
 
 
 

 
 
 
 
 
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Candidates hired for remote positions must reside in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin. Position Title: IS Data Engineer Exemption Status: Exempt Department: Business Intelligence Title of Manager: IS Development Manager Supervises: N/A Requisition #: 24481 Pay and Benefits: Estimated hiring range $121,770 - $148,830 / year, 5% bonus target, full benefits. To learn more about our benefits, please visit www.careoregon.org/about-us/careers/benefits Posting Notes: This is a fully remote position, but you must reside in one of the listed 9 states General Statement of Duties The IS Data Engineer plays a pivotal role in operationalizing and advancing data and analytics for CareOregons business initiatives. This involves building, managing and optimizing data pipelines and moving them effectively into production for data and analytics consumers. Consumers include business data analysts, data scientists and other roles that need curated data for data and analytics use cases. The IS Data Engineer ensures compliance with data governance and data security requirements while enabling faster data access, integrated data reuse and acceleration of time-to-solution for CareOregons data and analytics initiatives. Essential Position Functions + Create, maintain and optimize data pipelines as workloads move from development to production for specific use cases. + Manage data pipelines through stages, beginning with ingestion of data sources through integration to consumption for specific use cases. + Utilize innovative tools, techniques and architectures to partially or completely automate tasks in order to minimize manual processes, reduce the potential for error and improve productivity. + Assist with the renovation of data management infrastructure that supports automation in data integration and management. + Partner with other Information Systems teams, business data analysts and other data and analytics consumers to refine their data requirements for initiatives and consumption. + Train data and analytics consumers about data pipelines and preparation techniques to make it easier for them to integrate and consume the data they need for their own use cases. + Apply understanding of data and domains to address emerging data requirements. + Propose innovative data ingestion, preparation, integration and operationalization techniques to optimally address data requirements. + Promote CareOregons available data and analytics capabilities and expertise to IS staff and department leaders. + Collaborate with and educate staff and leadership on how to leverage data and analytics capabilities to achieve business goals Essential Department and Organizational Functions + Propose and implement process improvements. + Meet deadlines for completion of workload. + Maintain agreed upon work schedule. + Demonstrate cooperation and teamwork. + Provide cross-training on specific job responsibilities. + Meet identified business goals that contribute to departmental goals. + Perform other duties as needed. Knowledge, Skills and Abilities Required + Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management + Strong ability to work with IT and business staff to integrate analytics and data science output into business processes and workflows + Strong ability to partner with data science teams to leverage data science and refine and optimize machine learning models and algorithms + Strong ability to collaborate with data governance, quality and security experts to move data pipelines into production in compliance with applicable standards and certification + In depth knowledge of commonly used database programming languages for relational databases (e.g. SQL) + In depth knowledge of commonly used cloud-based data warehouse platforms (e.g. Snowflake, Redshift, etc.) + Ability to work across multiple deployment environments including cloud, on-premises and hybrid + Ability to work with multiple operating systems and containerization platforms (e.g. Docker, Kubernetes, AWS Elastic Container Service, etc.) + Ability to develop using Microsoft Azure products (e.g. Data Factory, Functions, Databricks, Monitor, etc.) + Ability to work with large, heterogeneous datasets to build and optimize data pipelines, pipeline architectures and integrated datasets + Ability to extract business value while considering automation opportunities + Adept in the use of traditional data integration technologies including ETL/ELT, data replication/CDC and API design and access + Strong ability to work with and optimize existing ETL/ELT processes and data integration, data preparation flows and helping to move them into production + Strong ability to work with analytics tools for object-oriented/object function scripting using R, Python, Java, Scala and/or similar languages + Understanding of business intelligence solutions including working knowledge of commonly used data discovery, analytics and BI software tools for semantic layer-based data discovery (e.g. Tableau, Power BI, etc.) + Strong ability to apply Agile methodologies + Ability to apply DevOps practices and tools and DataOps principles to data pipelines to improve data flows + Knowledge of emerging data ingestion and integration technologies + Possess curiosity and desire for ongoing learning about new data initiatives and how to address them + Ability to continually learn the latest versions of development tools and software products + Excellent written and oral communication skills + Ability to successfully manage multiple tasks, concurrent high priority projects and continuous deadlines + Possess a high degree of initiative, motivation, self-discipline and good judgment + Knowledge of the basic concepts of managed care preferred + Knowledge of health insurance business entities, relationships and processes preferred Physical Skills and Abilities Lifting/Carrying up to 0 Pounds Pushing/Pulling up to 0 Pounds Pinching/Retrieving Small Objects Crouching/Crawling Reaching Climbing Stairs Repetitive Finger/Wrist/Elbow/ Shoulder/Neck Movement 0 hours/day 0 hours/day 0 hours/day 0 hours/day 0 hours/day 0 hours/day More than 6 hours/day Standing Walking Sitting Bending Seeing Reading Hearing Speaking Clearly 0 hours/day 0 hours/day 0 hours/day 0 hours/day More than 6 hours/day More than 6 hours/day 3-6 hours/day 3-6 hours/day Cognitive and Other Skills and Abilities Ability to focus on and comprehend information, learn new skills and abilities, assess a situation and seek or determine appropriate resolution, accept managerial direction and feedback, and tolerate and manage stress. Education and/or Experience Required: + Minimum 5 years experience in data management required in roles that included all or most of the following functions: + Utilization of data integration, modeling, optimization and data quality improvement processes + Design of data and information architecture that delivers large (multi-terabyte) enterprise data warehouse solutions integrating many heterogeneous data sources + Development utilizing tools such as Microsoft SQL Server, Snowflake and/or similar tools + Development using Microsoft Azure products such as Data Factory, Functions, Databricks, Monitor and/or similar products + Data warehouse technical development that encompasses the data management life cycle and establishes end-to-end data warehousing, data management and analytics architecture Preferred: + Experience in health care or managed care + Snowflake - Knowledge or training + Exp w/ 2 or more of the following: Azure Cloud, Azure Data Factory, Azure Functions, Azure Storage Blob, Azure DevOps + Azure Certifications + Data Modeling/ Data Analysis + ETL experience + SSIS experience + ADF experience Working Conditions + Environment: This positions primary responsibilities typically take place in the following environment(s) (check all that apply on a regular basis): ? Inside/office ? Clinics/health facilities ? Member homes ? Other_________________________________________ + Travel: This position may include occasional required or optional travel outside of the workplace, in which the employees personal vehicle, local transit, or other means of transportation may be used. + Equipment: General office equipment + Hazards: n/a #Multi Candidates of color are strongly encouraged to apply. CareOregon is committed to building a linguistically and culturally diverse and inclusive work environment. Veterans are strongly encouraged to apply. We are an equal opportunity employer. CareOregon considers all candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or veteran status. Visa sponsorship is not available at this time.

<h5 id="candidateProfileTitle">Career Opportunities: Medicare Encounter Data Analyst (24434)</h5>






























































































































Requisition ID 24434 - Posted 07/17/2024 - CareOregon - Full Time - Permanent - Portland - Multi Location (17)


 
 Job Description Print Preview
 


 
 
 
 
 
 
 
 
 
	 		
	 	 
 
 

		

 

		
 
 

			
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
 
 
 
 
 
 
 
 

 

 
 
 

 
 
 
 
 
 
 

Candidates hired for remote positions must reside in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.
 
	
		
			
			Job Title
			
			
			Medicare Encounter Data Analyst
			
		
		
			
			Exemption Status
			
			
			Exempt 
			
		
		
			
			Department
			
			
			Finance
			
		
		
			
			Manager Title
			
			
			Risk Adjustment Manager
			
		
		
			
			Direct Reports
			
			
			n/a
			
		
		
			
			Requisition #
			
			
			24286
			
		
		
			
			Pay and Benefits
			
			
			Estimated hiring range $78,270 - $94,710 / year, 5% bonus target, full benefits. www.careoregon.org/about-us/careers/benefits.
			
		
		
			
			Posting Notes
			
			
			This is a fully remote role, but you must reside in one of the listed 9 states.
			
		
	




Job Summary

The Medicare Encounter Data Analyst leads the process for the end-to-end Encounter Data Processing System (EDPS) data flow and works within CMS guidelines for acceptable data submission. Using SQL and SAS programs, monitor submissions of core claims and supplemental data and reconcile against CMS response files. This position influences leadership decision making and provides recommendations regarding potential improvements to Encounter Data submissions.



Essential Responsibilities

<ul>
	<li>Ensure accuracy and completeness of the data submissions to CMS. </li>
	<li>Design/develop encounter data controls and internal audit processes with internal signoffs.</li>
	<li>Provide dashboards, reports, and analysis specific to the complete and accurate submission of encounter data to CMS.</li>
	<li>Monitor and track Medicare encounter data throughout the entire submission process, ensuring integrity through ongoing reconciliation of EDI, claims, supplemental data, and outgoing 837 file creation to prevent data loss.</li>
	<li>Identify root cause of data loss and encounter rejections; research return codes and coordinate with IS, claims, enrollment and provider data to enable complete and accurate encounter submissions.</li>
	<li>Work cross-functionally to interpret, verify, test and correct errors within the encounter data processing system.</li>
	<li>Maintain business rules and policies and procedures for Medicare encounter data submissions; lead the updating of business rules in response to regulatory changes.</li>
	<li>Lead and manage the standardization and automation of encounter data table creation and response file loading from CMS.</li>
	<li>Compile reports for other departments and regulatory agencies.</li>
	<li>Use statistical software, including SAS and SQL, to retrieve, edit and tabulate data from various databases and files.</li>
	<li>Participate in cross-departmental encounter data workgroup meetings.</li>
	<li>Analyze data trends and creates documentation supporting all reports.</li>
	<li>Advise on and guides process improvements that will optimize the accuracy and completeness of Medicare encounter data submissions.</li>
	<li>Work with outside vendors as needed.</li>
	<li>Advise internal customers regarding the availability and utility of data elements for reporting and data set requests, as well as the timing and frequency of reporting and data refresh.</li>
</ul>



Organizational Responsibilities

<ul>
	<li>Perform work in alignment with the organization's mission, vision and values.</li>
	<li>Support the organization's commitment to equity, diversity and inclusion by fostering a culture of open mindedness, cultural awareness, compassion and respect for all individuals.</li>
	<li>Strive to meet annual business goals in support of the organization's strategic goals.</li>
	<li>Adhere to the organization's policies, procedures and other relevant compliance needs.</li>
	<li>Perform other duties as needed.</li>
</ul>



Experience and/or Education

Required

<ul>
	<li>Minimum 5 years' experience reporting, analyzing, interpreting, and presenting data; experience analyzing large data files and performing file reconciliations.</li>
	<li>Minimum 3 years' healthcare, claims, data management, EDI experience</li>
</ul>

Preferred

<ul>
	<li>Experience with Medicare Advantage risk adjustment and payment methodologies</li>
</ul>



Knowledge, Skills and Abilities Required

Knowledge

<ul>
	<li>Advanced knowledge of statistical software packages, such as SAS</li>
	<li>Knowledge of risk adjustment methodology and Medicare encounter data</li>
	<li>Knowledge of Medicare programs</li>
	<li>Knowledge of medical and/or pharmacy claims</li>
	<li>Knowledge of CPT, HCPCS, ICD10 coding; revenue codes; DRG, UB04, and CMS 1500 claims submission and electronic claims submissions; CMS policy</li>
	<li>Knowledge of user-oriented programming languages including SQL</li>
</ul>

Skills and Abilities

<ul>
	<li>
	Intermediate skills with spreadsheets and word processing applications
	</li>
	<li>Excellent written and verbal communication skills</li>
	<li>Ability to independently gather, interpret and analyze data </li>
	<li>Ability to extract data from databases using such software tools</li>
	<li>Ability to design and run intermediate to complex queries and reports</li>
	<li>Ability to manipulate and analyze statistical data</li>
	<li>Ability to prepare narrative and statistical reports </li>
	<li>Ability to identify trends, problems, and opportunities for improvement</li>
	<li>Ability to effectively convey concepts and influence leadership decision making</li>
	<li>Ability to manage multiple tasks</li>
</ul>

<ul>
	<li>Ability to work effectively with diverse individuals and groups</li>
</ul>

<ul>
	<li>Ability to learn, focus, understand, and evaluate information and determine appropriate actions</li>
	<li>Ability to accept direction and feedback, as well as tolerate and manage stress</li>
	<li>Ability to see for at least 6 hours/day</li>
	<li>Ability to read, hear, speak clearly and perform repetitive finger and wrist movement for at least 3-6 hours/day</li>
</ul>



Working Conditions

Work Environment(s): Indoor/Office Community Facilities/Security Outdoor Exposure

Member/Patient Facing: No Telephonic In Person

 Hazards: May include, but not limited to, physical and ergonomic hazards.

Equipment: General office equipment

Travel: May include occasional required or optional travel outside of the workplace; the employee's personal vehicle, local transit or other means of transportation may be used.



#MULTI


 Candidates of color are strongly encouraged to apply. CareOregon is committed to building a linguistically and culturally diverse and inclusive work environment.

Veterans are strongly encouraged to apply.

We are an equal opportunity employer. CareOregon considers all candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or veteran status.

Visa sponsorship is not available at this time.Email this job to a friend

 



 
 
 
 
 
 
 
 
 
 
 

 
 
 
 
 
 The job has been sent to
 
 
 
 
 


 
 
	 Please provide the information below
 
 
 
 Job title:
 
 
 
 
 
 *Your friend's email address:
 
 
 
 
 Message:
 
 Maximum character limit: 1000
 
 
 
 
 
 
 
 
 
 
 *Confirm you are not a robot:

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