Apixio sits at the strategic intersection of health plans and providers, pioneering a Connected Care platform to reduce reimbursement inaccuracies and enhance patient care in the evolving healthcare landscape. Combining healthcare expertise with AI/machine learning technology and advanced data analytics, Apixio delivers innovative solutions that drive the shift towards value-based care, improve efficiency, and support better patient outcomes.

As a Business Analyst at Apixio, you will join an analytics team keen on curiosity about data and passionate about extracting insights. Your role involves gathering business requirements from various teams, performing thorough data analysis, and using business intelligence tools to create informative reports and dashboards. With 1-3 years of experience in business intelligence, proficiency in Python, SQL, Excel, and strong communication skills, you will be integral in helping Apixio's internal customers understand and utilize data effectively.

Apixio seeks candidates with a bachelor's degree in fields like Computer Science, Mathematics, or Economics, and those who possess high initiative, integrity, and the ability to work independently while being a collaborative team player.

Welcome to Interview Query! This guide aims to equip you with essential insights and tips to navigate the Apixio Business Analyst interview process. Upon completion, you will gain a deeper understanding of the role, hone your interview skills, and increase your chances of landing the position. Let’s get started!

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

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Apixio as a Business Analyst. Whether you were contacted by a recruiter from Apixio 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.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Apixio 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.

In some cases, the Apixio hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take 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 Business Analyst role at Apixio usually is conducted through virtual means, including video conference and screen sharing. Questions in this interview stage may revolve around Apixio’s data systems, ETL pipelines, SQL queries, and data analysis.

In the case of business analyst roles, take-home assignments in the form of case studies related to analytics, data visualization, and business scenario problem-solving are incorporated. Apart from these, your proficiency in data analysis using Python, SQL, and communication skills to translate complex data may also be assessed during the round.

Final Interview Rounds

Following a second recruiter call outlining the next stage, you’ll be invited to attend the final interview rounds, typically referred to as onsite interview rounds, but may be remote. Multiple interview rounds, varying with the role, will be conducted with team members you will closely work with, including the director of the team and partner teams. Your technical prowess, including problem-solving, data analysis abilities, and communication skills, will be evaluated thoroughly throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the final interview for the Business Analyst role at Apixio.

Offer and Feedback

Once you have successfully completed the interview rounds, feedback will be provided by the recruiter within a week. If you clear all the stages, an offer will follow within 1-2 days.

Quick Tips For Acing Your Apixio Business Analyst Interviews

• Prepare for Behavioral Questions: Be ready to answer behavioral questions focusing on how you handle data, collaborate with teams, and manage projects. Apixio values initiative and customer service focus, so highlight these in your answers.
• Practice Data Analysis: Be proficient with tools like Python, SQL, Excel, and BI tools like Tableau or Looker as they are fundamental to the role. Practicing with real datasets to create reports and visualizations can give you a solid edge.
• Understand Apixio's Domain: Familiarize yourself with Apixio's Connected Care platform and their work within the healthcare industry. Understanding the context of value-based reimbursement models and their data-driven approach will help in aligning your answers with the company’s mission and vision.

Practice for the Apixio Business Analyst interview with these recently asked interview questions.

Apixio Business Analyst Statistics and Probability Interview Questions

It appears that there is no data available for Apixio regarding the frequency of question tags in interviews or the positions for which these questions tend to come up. Therefore, I am unable to provide a detailed analysis for this company at this time.

1 - 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.

2 - How would you design a machine learning model to classify major health issues based on health features? You work as a machine learning engineer for a health insurance company. Design a model that classifies if an individual will undergo major health issues based on a set of health features.

3 - What metrics and statistical methods would you use to identify dishonest users in a sports app? You work for a company with a sports app that tracks running, jogging, and cycling data. Formulate a method to identify dishonest users, such as those who drive a car while claiming to be on a bike ride. Specify the metrics and statistical methods you would analyze.

To prepare for statistics and probability interview questions, consider using the A/B testing and statistics learning path and the comprehensive probability learning path. These resources cover essential concepts and advanced topics.

Apixio Business Analyst Coding and Algorithms Interview Questions

Unfortunately, there is no data available for Apixio to determine the frequency and positions for which specific question types come up in their interviews.

1 - 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.

2 - 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.

To practice Algorithms interview questions, consider using the Python learning path or the full list of Algorithms questions in our database.

Apixio Business Analyst Analytics and Experiments Interview Questions

It appears there are no tables provided for Apixio. Therefore, I cannot generate the requested sentences regarding the frequency and positions of question tags in Apixio job interviews. Please provide the necessary tables, and I will be happy to assist you.

1 - Why is the number of job applicants decreasing despite stable job postings? You are looking at job board metrics and notice that while the number of job postings per day has remained stable, the number of applicants has been steadily decreasing. Why might this be happening?

2 - How would you assess the validity of a .04 p-value in an AB test? Your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM finds a .04 p-value in the results. How would you assess the validity of this result?

3 - How would you analyze the performance of a new LinkedIn feature without an AB test? As a data scientist at LinkedIn, you are working on a feature that allows candidates to message hiring managers directly during the interview process. Due to engineering constraints, the feature can't be AB tested before launch. How would you analyze its performance?

4 - 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 instituting a free trial instead. What would be your recommendation?

5 - How could Facebook promote Instagram within its app? You work on Facebook's growth team and are tasked with promoting Instagram from within the Facebook app. Where and how could you promote Instagram through Facebook?

To prepare for analytics and experiments, consider using the product metrics learning path and the data analytics learning path.

Apixio Business Analyst Machine Learning Interview Questions

There are no specific statistics available for the frequency of question tags in Apixio job interviews. Consequently, there are no details on which positions these questions are most frequently asked.

1 - 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.

2 - How would you design a machine learning model to classify major health issues based on health features? You work 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.

3 - How does high correlation between two features affect their importance in a random forest? If two features are highly correlated in a random forest, how will both those features appear in a measurement of feature importance?

To get ready for machine learning interview questions, we recommend taking the machine learning course.