Veradigm is at the forefront of transforming health, insightfully. By joining the Veradigm team, you will contribute to addressing healthcare challenges faced by biopharma, health plans, providers, and patients, through research, analytics, and artificial intelligence (AI). As a remote Product Analyst, your role will involve interfacing with customers and team members to diagnose, troubleshoot, and debug sophisticated software systems. You will mentor your team, handle escalations, identify areas for improvement, and ensure effective communication across departments. This guide by Interview Query will navigate you through the interview process, providing insights into Veradigm’s expectations and common interview questions for the Product Analyst position.

Submitting Your Application

The first step to becoming a Product Analyst at Veradigm is to submit a compelling application that reflects your technical skills and interest in joining the company. Whether you were contacted by a Veradigm recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences that align with supporting enterprise-level software and computer systems.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Veradigm Talent Acquisition Team will make contact to verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

The hiring manager might be present during this call to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions pertaining to the Product Analyst role.

The call usually takes about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Veradigm Product Analyst role usually is conducted virtually, including video conference and screen sharing. This 1-hour round may include:

• SQL queries to assess advanced SQL experience.
• Problem-solving scenarios to test your understanding of claims processing workflows and encounter submissions.
• Questions on technical domains you’d be involved in, such as EDI, encounter data platforms, and debugging enterprise systems.
• Discussions on your experience with analyzing root cause, testing solutions, and knowledge sharing.

A take-home assignment might also be given to evaluate your analytical skills and your ability to handle product updates, escalations, and support tickets productively.

Onsite Interview Rounds

If you pass the technical virtual interview, you’ll be invited to attend the onsite interview rounds. These rounds may be virtual given the remote nature of the job. During these multiple rounds, you’ll engage with various team members, mentors, and leadership. Expect to be evaluated on:

• Your technical proficiency, including debugging and troubleshooting complex software issues.
• Your ability to align support strategies with business and team goals.
• Your communication and collaboration skills, evidenced by various past experiences.
• If applicable, presentation of the take-home assignment and further technical discussions on the solution proposed.

Quick Tips For Veradigm Product Analyst Interviews

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your Veradigm interview include:

1. Understand Veradigm’s Mission and Products: Given that Veradigm focuses on transforming healthcare through AI and analytics, familiarize yourself with their products and services. Understand their approach to solving healthcare challenges and be ready to discuss how you can contribute to these goals.

2. Be Data-Driven: Veradigm seeks candidates who can offer data-driven solutions. Prepare to discuss your experience with SQL and your ability to manage, analyze, and interpret data related to healthcare systems.

3. Effective Communication and Troubleshooting Skills: Demonstrate your ability to handle escalations, support tickets, and troubleshooting effectively. Use examples from your past experience to illustrate how you have resolved high-impact issues and contributed to team knowledge sharing and improvement.

Typically, interviews at Veradigm vary by role and team, but commonly Product Analyst interviews follow a fairly standardized process across these question topics.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you design a machine learning model to classify major health issues based on health features? As a machine learning engineer for a health insurance company, design a model that classifies whether an individual will undergo major health issues based on a set of health features.

• What metrics and statistical methods would you use to identify dishonest users in a sports app? For a sports app tracking running, jogging, and cycling data, formulate a method to identify dishonest users, such as those driving a car while claiming to be on a bike ride. Specify the metrics and statistical methods you would analyze to detect athletic anomalies indicative of cheating.

• Develop a function str_map to determine if a one-to-one correspondence exists between characters of two strings at the same positions. Given two strings, string1, and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2.

• Build a logistic regression model from scratch using gradient descent and log-likelihood as the loss function. Create a logistic regression model from scratch without an intercept term. Use basic gradient descent (with Newton's method) for optimization and the log-likelihood as the loss function. Do not include a penalty term. You may use numpy and pandas but not scikit-learn. Return the parameters of the regression.

• Why are job applications decreasing despite stable job postings? You are analyzing a job board where the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be the reasons for this trend?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook informs you that friend requests have decreased by 10%. What steps would you take to investigate and address this issue?

• How would you assess the validity of an AB test result with a .04 p-value? Your company is running an AB test on a feature to increase conversion rates on the landing page. The PM reports a p-value of .04. How would you evaluate the validity of this result?

• How would you analyze the performance of a new LinkedIn feature without an AB test? LinkedIn has launched a feature allowing candidates to message hiring managers directly during the interview process. Due to engineering constraints, an AB test was not conducted. How would you analyze the feature's performance?

• Should Square hire a customer success manager or offer a free trial for a new product? You are in charge of Square's small business division. The CEO wants to hire a customer success manager for a new software product, while another executive suggests offering a free trial instead. What would be your recommendation?

• How would you build a fraud detection model using a dataset of 600,000 credit card transactions? Imagine you work at a major credit card company and are given a dataset of 600,000 credit card transactions. Describe your approach to building a fraud detection model.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you tackle multicollinearity in multiple linear regression? Describe the methods you would use to address multicollinearity in a multiple linear regression model.

• How would you design a facial recognition system for employee clock-in and secure access? You work as an ML engineer for a large company that wants to implement a facial recognition system for employee clock-in, clock-out, and access to secure systems, including temporary contract consultants. How would you design this system?

• How would you handle data preparation for building a machine learning model using imbalanced data? Explain the steps you would take to prepare data for building a machine learning model when dealing with imbalanced data.

What is the average salary for a Product Analyst at Veradigm?

Q: What is Veradigm's mission?
Veradigm's mission is transforming health, insightfully, by harnessing the power of research, analytics, and artificial intelligence (AI) to develop scalable data-driven solutions that bring significant value to all healthcare stakeholders.

Q: What are the primary responsibilities of the Product Analyst position?
As a Product Analyst at Veradigm, you will interface with customers, team members, and other departments to troubleshoot and debug sophisticated software and computer systems, manage escalations, and guide support teams. You will also analyze root causes, mentor team members, and proactively review support tickets for improvement opportunities.

Q: What qualifications are required for the Product Analyst role?
Candidates should have a Bachelor's Degree or equivalent technical/business experience, 5+ years of EDI Encounter submissions experience for Medicaid, advanced SQL skills, and at least 7 years of relevant work experience. Familiarity with Claims Processing workflows, TR3, 837 Companion guides, and knowledge from regulators is crucial.

Q: What is the work environment like at Veradigm?
Veradigm offers a remote work environment, emphasizing empowering associates with the tools and flexibility for professional development. The company values diversity and inclusion, providing a comprehensive compensation and benefits package including medical, dental, and vision insurance, and company-paid life insurance.

Q: How can I prepare for an interview at Veradigm?
To prepare, research Veradigm's mission and values, practice common interview questions, and review your technical skills, especially those related to data analytics and SQL. Interview Query offers valuable resources to help you practice and refine your skills for the position.

Thank you for exploring this opportunity at Veradigm! If you believe your skills align with our mission to transform healthcare insightfully, we encourage you to apply. For more insights about the company and to prepare effectively for your interview, check out our main Veradigm Interview Guide, where we have covered many interview questions that could be asked. At Interview Query, we empower you with the knowledge, confidence, and strategic guidance to excel in your Veradigm interview and beyond. Good luck with your interview!