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

Health Catalyst Business Intelligence Interview Guide

Getting ready for an Business Intelligence interview at Health Catalyst? The Health Catalyst Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Health Catalyst Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Health Catalyst.</li>
<li>Practice real Health Catalyst 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 Health Catalyst Business Intelligence interview.


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

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

Overview

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.

Health Catalyst 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

What are the logistic and softmax functions? What is the difference between the two?

What makes them useful for use in logistic regression?

In logistic regression, how is the predicted class determined based on the logistic function?

In logistic regression, how is the predicted class determined based on the logistic function?

Softmax vs Logistic II

What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

Softmax vs Logistic I

What are the logistic and softmax functions? What is the difference between the two?

Softmax vs Logistic

You’ve been asked to analyze the player’s behaviors at a gaming company.

Write a query to get the number of players who played between 5 and 10 games (5 and 10 excluded), and the number of players who played 10 games or more.

Example:

Input:

<code>players</code> table

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

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

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

<tr>
<td>games_played</td>
<td>INTEGER</td>
</tr>

<tr>
<td>registered_at</td>
<td>TIMESTAMP</td>
</tr>
</tbody>
</table>
Output:

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

<tbody>
<tr>
<td>players_more_than_5_to_10_games</td>
<td>INTEGER</td>
</tr>

<tr>
<td>players_10_plus_games</td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Obtain count of players based on games played.

Player Analysis

Health Catalyst Business Intelligence Interview Questions

About Company:The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality. Job Description We are looking for an experienced professional to join our team as a Data Engineer, working on creating a suite of data-driven products across our industry verticals. Duties & Responsibilities Provide technical expertise in design, build and launch of improved data models and pipelines.Adopt and promote the technical and engineering approaches for various initiatives around the platform demonstrating strong knowledge of modern data architecture.Manage, prioritize, and execute request backlog in timely fashion.Collaborate effectively with Dev, Implementation and other product teams.Key Skills Advanced level MS-SQLIntermediate level PythonDeep understanding of healthcare dataExperience with Data Built Tool (DBT) is beneficialAdvanced design and implementation level experience, including implementing data models (logical and physical), data warehouse design and data engineering best practicesAbility to learn new technologies and evaluate multiple technologies to solve a problemStrong relationship/team building, written and verbal communication skillsStrong problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality dataKnowledge of developing and maintaining formal documentation that describes data and data structures including data architecture, data infrastructure and data modelsTeam-oriented, goal-oriented and flexible with proven track record in collaborating with multiple stakeholdersEducation & Relevant Experience Bachelor's degree in computer science, Information Systems, Technology, Engineering or related field - in combination with experience, is required in order to understand relevant technology.Master's degree in computer science, Information Systems, Technology, Engineering or related field is preferred.

The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality. Job SummaryThe Data Engineer focuses on acquiring data from various sources that are found in a Health System’s ecosystem. The Data Engineer leverages Catalyst’s Data Operating System to acquire this data. Data Engineers become accustomed to both the technical and business details of the source systems and engage with multiple technologies on how to acquire the source data. Duties & Responsibilities Required Skills<ul><li>Proficiency in Structured Query Language (SQL)</li><li>Experience working with EMR\EHR systems and an understanding of the healthcare clinical domain.</li><li>Lead the design, development, and maintenance of scalable data pipelines and ETL processes.</li><li>Strong expertise in ETL tools</li><li>Proficient working knowledge of database principles, processes, technologies and tools</li><li>Excellent analytical and troubleshooting skills.</li><li>Strong sense of customer service to consistently and effectively address client needs.</li><li>Excellent communication, leadership, and problem-solving skills</li><li>Mentor and guide a team of data engineers, fostering a culture of continuous learning and improvement.</li><li>Monitor and troubleshoot data infrastructure issues to ensure high availability and performance.</li><li>Ensure data quality, integrity, and security across all data platforms.</li><li>Implement best practices for data governance, lineage, and compliance</li></ul> Desired Skills <ul><li>Prior experience with RDBMS (SQL Server, Oracle, etc.)</li><li>Stored Procedure/T-SQL/SSIS experience</li><li>Experience with processing HL7 messages, CCD documents, and EDI X12 Claims files.</li><li>Familiarity with development methodologies, including the AGILE development approaches</li><li>Ability to code and comprehend code around technologies that deal with acquiring data</li><li>Working experience with Hadoop and other Big Data Technologies</li><li>Experience in Microsoft Azure cloud solutions, architecture, and related technologies</li></ul>Education & Relevant Experience<ul><li>Bachelor’s degree in technology, business, or healthcare related degree</li><li>5+ years of experience in data engineering, with at least 2+ years in a leadership role.</li><li>2+ years of experience in healthcare/technology related field.</li></ul> The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.

The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality.Health Catalyst is expanding and maintains a large suite of Improvement Apps that contribute to healthcare analytics and process improvement solutions. This includes products that manage the care of health system populations, better serve patients at the point of care, reduce health system costs, and reduce clinician workload. Job Summary The Data Engineer focuses on acquiring data from various sources that are found in a Health System’s ecosystem. The Data Engineer leverages Catalyst’s Data Operating System to acquire this data. Data Engineers become accustomed to both the technical and business details of the source systems and engage with multiple technologies on how to acquire the source data. Duties & Responsibilities Required Skills <ul><li>Proficiency in Structured Query Language (SQL) </li><li>Experience working with EMR\EHR systems and an understanding of the healthcare clinical domain. </li><li>Lead the design, development, and maintenance of scalable data pipelines and ETL processes. </li><li>Strong expertise in ETL tools </li><li>Proficient working knowledge of database principles, processes, technologies and tools </li><li>Excellent analytical and troubleshooting skills. </li><li>Strong sense of customer service to consistently and effectively address client needs. </li><li>Excellent communication, leadership, and problem-solving skills </li><li>Mentor and guide a team of data engineers, fostering a culture of continuous learning and improvement. </li><li>Monitor and troubleshoot data infrastructure issues to ensure high availability and performance. </li><li>Ensure data quality, integrity, and security across all data platforms. </li><li>Implement best practices for data governance, lineage, and compliance </li></ul> Desired Skills <ul><li>Prior experience with RDBMS (SQL Server, Oracle, etc.) </li><li>Stored Procedure/T-SQL/SSIS experience </li><li>Experience with processing HL7 messages, CCD documents, and EDI X12 Claims files. </li><li>Familiarity with development methodologies, including the AGILE development approaches </li><li>Ability to code and comprehend code around technologies that deal with acquiring data </li><li>Working experience with Hadoop and other Big Data Technologies </li><li>Experience in Microsoft Azure cloud solutions, architecture, and related technologies </li></ul>Education & Relevant Experience <ul><li>Bachelor’s degree in technology, business, or healthcare related degree </li><li>5+ years of experience in data engineering, with at least 2+ years in a leadership role. </li><li>2+ years of experience in healthcare/technology related field. </li></ul> The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.

Job Title: Principal Data Architect / Lead Data Platform Architect / Enterprise Data Architect / Solutions Architect – Data Engineering About Company:The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality.Health Catalyst is expanding and maintains a large suite of Improvement Apps that contribute to healthcare analytics and process improvement solutions. This includes products that manage the care of health system populations, better serve patients at the point of care, reduce health system costs, and reduce clinician workload. Job OverviewWe are seeking a seasoned Principal Data Architect to design, implement, and maintain scalable data ingestion and processing systems for healthcare and clinical data pipelines. This role is ideal for someone who thrives in building real-time data platforms using Kafka, microservices, and distributed systems on AWS. You will lead architectural decisions, influence data governance practices, and support systems that process billions of patient records daily. Key Responsibilities<ul><li>Architect and lead the development of scalable, secure, and high-performance data platforms on AWS.</li><li>Own and optimize Kafka-based pipelines handling real-time and batch ingestion of clinical data (HL7v2, CCDA).</li><li>Design and manage Kafka Connect infrastructure with custom SMTs and JDBC, S3, MongoDB, and OpenSearch connectors.</li><li>Implement fault-tolerant systems using DLQs, Prometheus, Grafana, and CloudWatch for observability and alerting.</li><li>Drive deduplication strategies and stream processing (Kafka Streams, Flink) to reduce downstream load.</li><li>Collaborate with parser teams to optimize Java-based services that convert HL7 and CCDA into structured data for Kafka brokers.</li><li>Define and enforce data quality and governance best practices across the pipeline.</li><li>Provide mentorship and technical leadership to a team of engineers and data professionals.</li><li>Engage with product, compliance, and analytics teams to align the data platform with broader business goals.</li></ul> Required Qualifications<ul><li>9+ years of experience in software/data engineering with a focus on distributed systems.</li><li>Expertise in Kafka ecosystem (brokers, Kafka Connect, Streams, Schema Registry).</li><li>Deep knowledge of AWS services (EC2, S3, RDS, CloudWatch, IAM, MSK, etc.).</li><li>Strong Java development skills; familiarity with multithreading, concurrency, and system design patterns.</li><li>Experience with microservices, Docker, and CI/CD pipelines.</li><li>Proficiency with clinical data formats like HL7v2 and CCDA.</li><li>Experience in performance tuning large-scale data systems (billions of records/day).</li><li>Knowledge of database technologies: MySQL/PostgreSQL, MongoDB, Snowflake, Cassendra, DynamoDB</li><li>Excellent communication skills and ability to work cross-functionally.</li></ul> Preferred Qualifications<ul><li>Experience with Flink or Spark for streaming and batch processing.</li><li>Knowledge of FHIR, HIPAA compliance, and healthcare domain challenges.</li><li>Experience with Confluent Kafka</li><li>Background in data deduplication strategies, ETL optimizations, and distributed caching.</li><li>Familiarity with Agile and Scrum methodologies.</li></ul>

The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality.Health Catalyst is expanding and maintains a large suite of Improvement Apps that contribute to healthcare analytics and process improvement solutions. This includes products that manage the care of health system populations, better serve patients at the point of care, reduce health system costs, and reduce clinician workload. Job SummaryThe Data Engineer focuses on acquiring data from various sources that are found in a Health System’s ecosystem. The Data Engineer leverages Catalyst’s Data Operating System to acquire this data. Data Engineers become accustomed to both the technical and business details of the source systems and engage with multiple technologies on how to acquire the source data. Duties & Responsibilities Required Skills<ul><li>Proficiency in Structured Query Language (SQL)</li><li>Experience working with EMR\EHR systems and an understanding of the healthcare clinical domain.</li><li>Lead the design, development, and maintenance of scalable data pipelines and ETL processes.</li><li>Strong expertise in ETL tools</li><li>Proficient working knowledge of database principles, processes, technologies and tools</li><li>Excellent analytical and troubleshooting skills.</li><li>Strong sense of customer service to consistently and effectively address client needs.</li><li>Excellent communication, leadership, and problem-solving skills</li><li>Mentor and guide a team of data engineers, fostering a culture of continuous learning and improvement.</li><li>Monitor and troubleshoot data infrastructure issues to ensure high availability and performance.</li><li>Ensure data quality, integrity, and security across all data platforms.</li><li>Implement best practices for data governance, lineage, and compliance</li></ul> Desired Skills <ul><li>Prior experience with RDBMS (SQL Server, Oracle, etc.)</li><li>Stored Procedure/T-SQL/SSIS experience</li><li>Experience with processing HL7 messages, CCD documents, and EDI X12 Claims files.</li><li>Familiarity with development methodologies, including the AGILE development approaches</li><li>Ability to code and comprehend code around technologies that deal with acquiring data</li><li>Working experience with Hadoop and other Big Data Technologies</li><li>Experience in Microsoft Azure cloud solutions, architecture, and related technologies</li></ul>Education & Relevant Experience<ul><li>Bachelor’s degree in technology, business, or healthcare related degree</li><li>5+ years of experience in data engineering, with at least 2+ years in a leadership role.</li><li>2+ years of experience in healthcare/technology related field.</li></ul> The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.

About Company: The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality. Job Description We are looking for an experienced professional to join our team as a Data Engineer, working on creating a suite of data-driven products across our industry verticals. Duties & Responsibilities Provide technical expertise in design, build and launch of improved data models and pipelines.Adopt and promote the technical and engineering approaches for various initiatives around the platform demonstrating strong knowledge of modern data architecture.Manage, prioritize, and execute request backlog in timely fashion.Collaborate effectively with Dev, Implementation and other product teams.Key Skills Advanced level MS-SQLIntermediate level PythonDeep understanding of healthcare dataExperience with Data Built Tool (DBT) is beneficialAdvanced design and implementation level experience, including implementing data models (logical and physical), data warehouse design and data engineering best practicesAbility to learn new technologies and evaluate multiple technologies to solve a problemStrong relationship/team building, written and verbal communication skillsStrong problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality dataKnowledge of developing and maintaining formal documentation that describes data and data structures including data architecture, data infrastructure and data modelsTeam-oriented, goal-oriented and flexible with proven track record in collaborating with multiple stakeholdersEducation & Relevant Experience Bachelor's degree in computer science, Information Systems, Technology, Engineering or related field - in combination with experience, is required in order to understand relevant technology.Master's degree in computer science, Information Systems, Technology, Engineering or related field is preferred.

Job SummaryThe Data Engineer focuses on acquiring data from various sources that are found in a Health System’s ecosystem. The Data Engineer leverages Catalyst’s Data Operating System to acquire this data. Data Engineers become accustomed to both the technical and business details of the source systems and engage with multiple technologies on how to acquire the source data. Duties & Responsibilities Required Skills<ul><li>Proficiency in Structured Query Language (SQL)</li><li>Experience working with EMR\EHR systems and an understanding of the healthcare clinical domain.</li><li>Lead the design, development, and maintenance of scalable data pipelines and ETL processes.</li><li>Strong expertise in ETL tools</li><li>Proficient working knowledge of database principles, processes, technologies and tools</li><li>Excellent analytical and troubleshooting skills.</li><li>Strong sense of customer service to consistently and effectively address client needs.</li><li>Excellent communication, leadership, and problem-solving skills</li><li>Mentor and guide a team of data engineers, fostering a culture of continuous learning and improvement.</li><li>Monitor and troubleshoot data infrastructure issues to ensure high availability and performance.</li><li>Ensure data quality, integrity, and security across all data platforms.</li><li>Implement best practices for data governance, lineage, and compliance</li></ul> Desired Skills<ul><li>Prior experience with RDBMS (SQL Server, Oracle, etc.)</li><li>Stored Procedure/T-SQL/SSIS experience</li><li>Experience with processing HL7 messages, CCD documents, and EDI X12 Claims files.</li><li>Familiarity with development methodologies, including the AGILE development approaches</li><li>Ability to code and comprehend code around technologies that deal with acquiring data</li><li>Working experience with Hadoop and other Big Data Technologies</li><li>Experience in Microsoft Azure cloud solutions, architecture, and related technologies</li></ul>Education & Relevant Experience<ul><li>Bachelor’s degree in technology, business, or healthcare related degree</li><li>5+ years of experience in data engineering, with at least 2+ years in a leadership role.</li><li>2+ years of experience in healthcare/technology related field.</li></ul>

Job Title: Principal Data Architect / Lead Data Platform Architect / Enterprise Data Architect / Solutions Architect – Data Engineering About Company: The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality.Health Catalyst is expanding and maintains a large suite of Improvement Apps that contribute to healthcare analytics and process improvement solutions. This includes products that manage the care of health system populations, better serve patients at the point of care, reduce health system costs, and reduce clinician workload. Job Overview We are seeking a seasoned Principal Data Architect to design, implement, and maintain scalable data ingestion and processing systems for healthcare and clinical data pipelines. This role is ideal for someone who thrives in building real-time data platforms using Kafka, microservices, and distributed systems on AWS. You will lead architectural decisions, influence data governance practices, and support systems that process billions of patient records daily. Key Responsibilities <ul><li>Architect and lead the development of scalable, secure, and high-performance data platforms on AWS. </li><li>Own and optimize Kafka-based pipelines handling real-time and batch ingestion of clinical data (HL7v2, CCDA). </li><li>Design and manage Kafka Connect infrastructure with custom SMTs and JDBC, S3, MongoDB, and OpenSearch connectors. </li><li>Implement fault-tolerant systems using DLQs, Prometheus, Grafana, and CloudWatch for observability and alerting. </li><li>Drive deduplication strategies and stream processing (Kafka Streams, Flink) to reduce downstream load. </li><li>Collaborate with parser teams to optimize Java-based services that convert HL7 and CCDA into structured data for Kafka brokers. </li><li>Define and enforce data quality and governance best practices across the pipeline. </li><li>Provide mentorship and technical leadership to a team of engineers and data professionals. </li><li>Engage with product, compliance, and analytics teams to align the data platform with broader business goals. </li></ul> Required Qualifications <ul><li>9+ years of experience in software/data engineering with a focus on distributed systems. </li><li>Expertise in Kafka ecosystem (brokers, Kafka Connect, Streams, Schema Registry). </li><li>Deep knowledge of AWS services (EC2, S3, RDS, CloudWatch, IAM, MSK, etc.). </li><li>Strong Java development skills; familiarity with multithreading, concurrency, and system design patterns. </li><li>Experience with microservices, Docker, and CI/CD pipelines. </li><li>Proficiency with clinical data formats like HL7v2 and CCDA. </li><li>Experience in performance tuning large-scale data systems (billions of records/day). </li><li>Knowledge of database technologies: MySQL/PostgreSQL, MongoDB, Snowflake, Cassendra, DynamoDB </li><li>Excellent communication skills and ability to work cross-functionally. </li></ul> Preferred Qualifications <ul><li>Experience with Flink or Spark for streaming and batch processing. </li><li>Knowledge of FHIR, HIPAA compliance, and healthcare domain challenges. </li><li>Experience with Confluent Kafka </li><li>Background in data deduplication strategies, ETL optimizations, and distributed caching. </li><li>Familiarity with Agile and Scrum methodologies.</li></ul>

Health Catalyst Business Intelligence Interview Guide

Overview

Health Catalyst Business Intelligence Interview Process

Health Catalyst Business Intelligence Interview Questions

Health Catalyst Business Intelligence Jobs