The Medeanalytics Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Medeanalytics Business Intelligence Interview Guide

Getting ready for an Business Intelligence interview at Medeanalytics? The Medeanalytics Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Medeanalytics Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Medeanalytics.</li>
<li>Practice real Medeanalytics Business Intelligence interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Medeanalytics Business Intelligence interview.


Getting ready for an Business Intelligence interview at Medeanalytics? The Medeanalytics Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Medeanalytics Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Medeanalytics.
- Practice real Medeanalytics Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Medeanalytics Business Intelligence interview.
        

Overview

Medeanalytics Business Intelligence Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Medeanalytics Business Intelligence Interview Process

We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.

Write a query to get the total three-day rolling average for deposits by day.

Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout

Example:

Input:

<code>bank_transactions</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Rolling Bank Transactions

Write a query to identify the manager with the biggest team size.

You may assume there is only one manager with the largest team size.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>manager_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>managers</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>team</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>manager</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>team_size</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Manager Team Sizes

Write a query to identify customers who placed more than three transactions each in both 2019 and 2020.

Example:

Input:

<code>transactions</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>product_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>quantity</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>users</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
 
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>customer_name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Which of the following queries will return a list of customers and the total amount they have spent on orders?

Which of the following queries will return a list of customers and the total amount they have spent on orders?

Customer Orders

Medeanalytics Business Intelligence Interview Questions

Founded in 1993, MedeAnalytics is an innovation-focused company. Over the past three decades, we have worked tirelessly to reimagine healthcare through the power of data-and helped thousands of organizations achieve their potential along the way. Leveraging state-of-the-art analytics and data activation, MedeAnalytics delivers actionable insights that support payers, providers, employers, and public entities as they navigate the complex healthcare landscape. Using artificial intelligence and machine learning alongside the most advanced data orchestration in the industry, we empower organizations to optimize their resource allocation, experience superior patient outcomes, and achieve population health management goals. And that's just the beginning. With a deep understanding of the complex challenges facing the healthcare industry, MedeAnalytics offers a comprehensive suite of solutions to address key areas such as: <ul><li>Population Health Management: Gain insights into patient populations, identify at-risk individuals, and implement targeted interventions to improve health outcomes.</li><li>Value-Based Care: Optimize care delivery, reduce costs, and enhance patient satisfaction by aligning with value-based care models.</li><li>Revenue Cycle Management: Streamline revenue cycle processes, improve reimbursement rates, and minimize denials.</li><li>And more...</li></ul> MedeAnalytics is committed to delivering cutting-edge technology and exceptional customer service. Our team is passionate about transforming healthcare and making a positive impact on the lives of patients. We are seeking an experienced Senior Data Scientist to drive innovation in healthcare analytics using advanced data science techniques, Large Language Models (LLMs), Agentic AI, Natural Language Processing (NLP), and cloud technologies (AWS, Azure, GCP). This role focuses on developing cutting-edge solutions for payers, providers, value-based care (VBC), and population health management. The Senior Data Scientist will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Using a flexible, analytical approach, the Senior Data Scientist will design, develop, evaluate, and deploy robust solutions that leverage innovations in data science, machine learning, and predictive modeling techniques. You will need exceptional skills in statistics, data modeling, advanced mathematics, and programming, along with experience in Generative AI (GenAI) and LLMs. The ideal candidate can work independently and collaboratively across the organization. Location Requirement: The candidate hired for this position must be based within a commutable distance from Nashville, TN, or Richardson, TX. This role may require periodic in-office attendance, and applicants not located within proximity to these areas may not be considered. Key Responsibilities: <ul><li>Problem Definition: Collaborate with product teams and clients to translate real-world healthcare issues into well-defined problem statements and data science solutions.</li><li>Data Cleaning and Exploration: Select appropriate datasets, process and cleanse data for analysis, and develop data structures to organize, collect, and standardize data.</li><li>Feature Engineering: Develop influential features using machine learning and AI techniques to enhance model development.</li><li>Model Development: Build and develop ML/AI models to support our expanding portfolio of healthcare-centric solutions, integrating GenAI and LLMs to enhance data models and algorithms with a focus on natural language processing tasks.</li><li>Model Deployment: Oversee deployment of GenAI and LLM models, ensuring robust monitoring, maintenance, and updates to enhance model performance.</li><li>Model Documentation: Document project development, including problem definitions, data processing, model deployment, and results for auditability.</li><li>Communication of Results: Build presentations, dashboards, and reports to communicate analytical insights effectively to various stakeholders.</li><li>Mentorship: Serve as a GenAI expert and provide mentorship, peer review, and guidance to other team members.</li></ul> Essential Duties and Responsibilities: <ul><li>Develop and deploy AI agents for healthcare analytics, enabling autonomous decision-making.</li><li>Utilize cloud platforms (AWS, Azure, GCP) to build scalable data analytics pipelines and AI models.</li><li>Apply NLP techniques to extract insights from unstructured healthcare data such as clinical notes and medical literature. Leverage generative AI and NLP techniques to develop predictive models and extract actionable insights from healthcare data.</li><li>Implement text classification, named entity recognition, and sentiment analysis models for healthcare applications across multiple cloud platforms.</li><li>Develop and utilize unit tests to ensure the functional correctness of models.</li><li>Collaborate with cross-functional teams to integrate AI/ML products into existing solutions and workflows.</li><li>Perform exploratory data analysis on high-dimensional datasets, both structured and unstructured.</li><li>Implement text classification, named entity recognition, and sentiment analysis models for healthcare use cases.</li></ul> Requirements: <ul><li>Advanced Degree (Master's or Ph.D.) in a quantitative field</li><li>5+ years of experience in data science, with a focus on healthcare analytics and NLP.</li><li>Proficiency in Python, Jupyter Notebooks, and Python libraries like Pandas, Numpy, and Scikit-learn.</li><li>Strong background in machine learning, deep learning, LLM applications, and NLP techniques.</li><li>Experience with cloud services:<ul><li>AWS: Bedrock, SageMaker, Comprehend Medical, Lambda, S3</li><li>Azure: Machine Learning, Cognitive Services, Azure Functions</li><li>GCP: Vertex AI, Cloud Natural Language API, Cloud Functions</li></ul></li><li>Experience using and implementing RAG systems and AI agents.</li><li>Familiarity with healthcare data standards (HL7, FHIR) and regulatory requirements (HIPAA).</li><li>Strong communication skills for presenting complex findings to various stakeholders.</li><li>Experience with big data technologies such as Hadoop, Spark, and distributed computing.</li></ul> Preferred Qualifications: <ul><li>Experience with Epic or other major EHR systems and their unstructured data.</li><li>Certifications in AWS, Azure, or GCP cloud technologies.</li><li>Published research in healthcare data science, GenAI, LLMs, or AI applications.</li><li>Knowledge of medical ontologies (SNOMED CT, ICD-10, RxNorm).</li><li>Experience in multi-cloud environments and building cloud-agnostic solutions.</li></ul> MedeAnalytics believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $140,000 - $180,000 USD. Please note that actual compensations for all roles may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, relevant work experience, professional achievements/qualifications, skill level, business need, location and will be finalized at the time of offer. Benefits Include: <ul><li>Comprehensive Medical, Dental, and Vision Coverage - Effective the first of the month following your start date</li><li>Company-Paid Life & AD&D Insurance, plus Short-Term and Long-Term Disability (STD/LTD)</li><li>Company-Paid Employee Assistance Program (EAP) premium tier for your wellbeing</li><li>401(k) Plan with company match</li><li>Paid Holidays and Paid Time Off (PTO) Accruals</li><li>Employee Referral Bonus Program</li><li>Professional Development Opportunities to support your growth</li><li>And More!</li></ul> We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. ** Currently, we are not able to offer sponsorship or take over sponsorship to candidates who are not eligible to work in the country where the position is located At MedeAnalytics we deeply value each and every one of our committed, inspired and passionate team members. If you're looking to make an impact doing work that matters, you're in the right place. Help us shape the future of healthcare by joining #TeamMede. MedeAnalytics does not utilize any outside vendors/agencies. Please no unsolicited phone calls or invites.

Founded in 1993, MedeAnalytics is an innovation-focused company. Over the past three decades, we have worked tirelessly to reimagine healthcare through the power of data-and helped thousands of organizations achieve their potential along the way.Leveraging state-of-the-art analytics and data activation, MedeAnalytics delivers actionable insights that support payers, providers, employers, and public entities as they navigate the complex healthcare landscape.Using artificial intelligence and machine learning alongside the most advanced data orchestration in the industry, we empower organizations to optimize their resource allocation, experience superior patient outcomes, and achieve population health management goals.And that's just the beginning.With a deep understanding of the complex challenges facing the healthcare industry,MedeAnalytics offers a comprehensive suite of solutions to address key areas such as:Population Health Management: Gain insights into patient populations, identify at-risk individuals, and implement targeted interventions to improve health outcomes.Value-Based Care: Optimize care delivery, reduce costs, and enhance patient satisfaction by aligning with value-based care models.Revenue Cycle Management: Streamline revenue cycle processes, improve reimbursement rates, and minimize denials.And more...MedeAnalytics is committed to delivering cutting-edge technology and exceptional customer service. Our team is passionate about transforming healthcare and making a positive impact on the lives of patients.MedeAnalytics is seeking a highly experienced Healthcare Data Analyst. This rolereports to the Sr. Director of Professional Services acting as a liaison, facilitating collaboration between core Mede and Professional Services teamsThis client facing position will guide healthcare payer and provider clients through extracting, analyzing, and interpreting large data sets to build various reports and dashboards. The analyst will provide clients with analytical consultative expertise and guidance to create metrics enabling measurements of progress towards initiative goals and ensuring the proper data is being collected for those metrics. Performing extensive data analysis, creating documentation of data issues, and developing implementation strategies for improving data quality and data standardization is a core function of our role.The ideal candidate is not new to the data realm and has potentially worn multiple hats as an Analytics Engineer, Data Analyst, or Data Architect. Must be proficient in SQL and have experience using a BI tool. This role requires strong data modeling, data mapping & integration skills coupled with current experience in B2B, EAI, ESB, web services, service-oriented architectures, and standardized terminology services. Epic certifications with a focus on analytical capabilities is strongly preferred. Having up-to-date knowledge and understanding of HEDIS & CMS STARs measures' technical specifications is required.Location Requirement: The candidate hired for this position must be based within a commutable distance from Nashville, TN, or Dallas, TX. This role may require periodic in-office attendance, and applicants not located within proximity to these areas may not be considered.Essential Duties and Responsibilities: Lead the design, development, and ongoing support of clinical and financial integrated data models and reports used by provider and payer management in decision-making. This includes but is not limited to determining appropriate data transformations and governance strategies needed to provide trusted data sets for NCQA HEDIS & CMS STARs reporting and analytics.Responsible for designing new data structures, mapping data from client source data to our data models, writing SQL/SQL like scripts to load and transfer the data to databases and performing data analysis with ETL.Leads ideation sessions using lean principles to develop, document and analyze present state process maps and develop future state models.Conduct, assess and profile data mappings to adhere to specific data structures, ensuring data quality is clearly defined to meet requested business use cases.Design, create and maintain accurate and efficient data models.Summarizes testing and validation results and be able to communicate and make recommendations on the best course for remediation.Resourceful in arriving at solutions using existing or available resources.Participate in agile work environment, completing sprint deliverables on time.Contribute to our evolving development and testing standards and best practices.Knowledge and experience in discrete data elements utilized in healthcare analytics.Experience querying data, data interpretation and report generation using modern analytics tools (i.e., Power BI)Work with product owners and business analysts on requirements and design.Create and maintain comprehensive project documentation, using Mede's standard technical templates, methodologies, and standards.Consultative engagement with clients to assess and guide requirements specifications.Conduct meetings, internal and with clients, to review integration progress, upcoming activities and deliverables required to fulfil the Integration project delivery.Create and maintain data integrity by providing quality data profiling ensuring known constraints to operate in the Client's environment.Education, Experience, and Required Qualifications: Bachelor's Degree (Bachelor of Science, Computer Science or equivalent) strongly desired; advanced degree (MS or MBA) preferred.3+ year(s) of experience in working with MEDITECH Expanse, Cerner, Allscripts or Epic health information systems and/or 3 + years of relevant professional work experience with complex analysis background in healthcare data, HL7, C-CDA, HEDIS, CMS & STARSEpic certifications with a focus on analytical capabilities is strongly preferredCAQH certification and/or Certified Health Data Analyst (CHDA®) a plusExpertise with standard healthcare terminologies and vocabularies (ICD, DRG, CPT, SNOMED CT, LOINC, NDC, Medispan, RxNorm, etc.)2+ years of Enterprise Software Packaged/SaaS Integration experience.2+ years of Enterprise Integration Tool (Informatica is preferred) experience.3+ years of database design and construction, ETL, and data modeling with an understanding of relational and dimensional data models3+ years of procedural programming and markup languages such as JAVA, JavaScript, Python, SQL, XML, and JSON2+ years managing big data (Data transfer, import/export, storage, performance, and security) and MS OLAP; additional experience with ETL framework, Linux and open-source technologies preferred.3+ years RDBMS and Cloud data platforms with preferred experience leveraging AWS, Mondrian, Oracle, Databricks, Vertica, Hadoop, Apache Spark, Mondrian & MongoDBFamiliar with data visualization tools, Data Lake, Git, and version controlBenefits Include:Comprehensive Medical, Dental, and Vision Coverage - Effective the first of the month following your start dateCompany-Paid Life & AD&D Insurance, plus Short-Term and Long-Term Disability (STD/LTD)Company-Paid Employee Assistance Program (EAP) premium tier for your wellbeing401(k) Plan with company matchPaid Holidays and Paid Time Off (PTO) AccrualsEmployee Referral Bonus ProgramProfessional Development Opportunities to support your growthAnd More!We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.** Currently, we are not able to offer sponsorship or take over sponsorship to candidates who are not eligible to work in the country where the position is locatedAt MedeAnalytics we deeply value each and every one of our committed, inspired and passionate team members. If you're looking to make an impact doing work that matters, you're in the right place. Help us shape the future of healthcare by joining #TeamMede.MedeAnalytics does not utilize any outside vendors/agencies. Please no unsolicited phone calls or invites.

With over 30 years in the industry, MedeAnalytics is a leader in healthcare analytics. Using a data fabric enabled cloud platform, our SaaS solutions run on cutting-edge innovation and enable measurable impact for healthcare payers, providers and payviders. With the most advanced data orchestration and interoperability in healthcare, organizations count on us to deliver actionable insights that improve financial, operational and clinical outcomes. To date, we've helped uncover millions of dollars in savings annually. Location: Hybrid (2 days in the office per week), commutable distance from Richardson, Texas or Nashville, TN. MedeAnalytics is seeking a highly skilled and motivated Software Engineer/Full Stack .NET Developer. The ideal candidate will have extensive experience in .NET, C#, JavaScript/TypeScript, React, and a deep understanding of healthcare data management. Key Technical Requirements: <ul><li>Full Stack Development: Proficiency in designing, developing, and maintaining web applications using .NET, C#, JavaScript/TypeScript, React.</li><li>Database Expertise: Advanced skills in SQL queries, MDX, and database schema development, with experience in Star Schemas, MOLAP, Document DB, Redshift, Snowflake, Vertica, SQL Server, and Azure.</li><li>Cloud and DevOps: Hands-on experience with AWS, Micro Services, Kubernetes, EKS, and DevOps practices.</li><li>Healthcare Data: Understanding of healthcare data standards and compliance (e.g., HIPAA).</li></ul> Essential Duties and Responsibilities: <ul><li>Full Stack Development: Design, develop, and maintain web applications using .NET, C#, JavaScript/TypeScript, React.</li><li>Database Integration: Develop and optimize database schemas, queries, and stored procedures.</li><li>UI/UX Design: Collaborate with design teams to create responsive and user-friendly interfaces.</li><li>Integration and API Development: Implement RESTful APIs and integration points.</li><li>Security and Compliance: Implement security best practices and compliance standards.</li><li>Testing and Quality Assurance: Write unit and integration tests; participate in code reviews.</li><li>Performance Optimization: Identify and resolve performance bottlenecks.</li><li>Documentation: Maintain technical documentation, including system architecture and coding standards.</li><li>Collaboration: Work with cross-functional teams to understand requirements and deliver solutions.</li><li>Deployment and Scalability: Use AWS services, Micro Services, Kubernetes, EKS, and DevOps practices.</li><li>Data Warehousing: Utilize data warehousing solutions for storage and analytics.</li></ul> Education, Experience, and Required Qualifications: <ul><li>Bachelor's Degree: In Computer Science, Software Engineering, or a related field.</li><li>Proven Experience: In Full Stack development with .NET, JavaScript/TypeScript, React.</li><li>Healthcare Data: Familiarity with healthcare data standards (e.g., HL7, FHIR, HIPAA) is a plus.</li><li>Database Systems: Strong knowledge of database systems, SQL, and data modeling.</li><li>Version Control: Proficiency in Git or other source code version control systems.</li><li>Agile Methodologies: Experience with Agile/Scrum development methodologies.</li><li>Problem-Solving Skills: Strong problem-solving and communication skills.</li><li>Team Collaboration: Ability to work both independently and collaboratively.</li><li>Containerization: Experience with Docker, Kubernetes.</li><li>Cloud Platforms: Knowledge of AWS, Azure, and serverless computing.</li><li>Data Analytics: Experience in data analytics or data warehousing projects.</li></ul> Benefits Include: <ul><li>Comprehensive Medical, Dental, and Vision Coverage - Effective the first of the month following your start date</li><li>Company-Paid Life & AD&D Insurance, plus Short-Term and Long-Term Disability (STD/LTD)</li><li>Company-Paid Employee Assistance Program (EAP) premium tier for your wellbeing</li><li>401(k) Plan with company match</li><li>Paid Holidays and Paid Time Off (PTO) Accruals</li><li>Employee Referral Bonus Program</li><li>Professional Development Opportunities to support your growth</li><li>And More!</li></ul> We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. ** Currently, we are not able to offer sponsorship or take over sponsorship to candidates who are not eligible to work in the country where the position is located At MedeAnalytics we deeply value each and every one of our committed, inspired and passionate team members. If you're looking to make an impact doing work that matters, you're in the right place. Help us shape the future of healthcare by joining #TeamMede. MedeAnalytics does not utilize any outside vendors/agencies. Please no unsolicited phone calls or invites.

With over 30 years in the industry, MedeAnalytics is a leader in healthcare analytics. Using a data fabric enabled cloud platform, our Saas solutions run on cutting-edge innovation and enable measurable impact for healthcare payers, providers and pay Data Analyst, Healthcare, Health, Business Analyst, Data Architect, Analyst, Technology

Medeanalytics Business Intelligence Interview Guide

Overview

Medeanalytics Business Intelligence Salary

Medeanalytics Business Intelligence Interview Process

Medeanalytics Business Intelligence Interview Questions

Medeanalytics Business Intelligence Jobs