At Cooper University Health Care, our commitment to providing extraordinary health care begins with our team. Our professionals continuously discover clinical innovations and enhance access to state-of-the-art facilities, equipment, technologies, and research protocols. With competitive rates, comprehensive benefits, and a commitment to professional development, Cooper University Health Care stands as the employer of choice in South Jersey.

As a Data Analyst, your primary responsibility includes creating tools for data collection, conducting thorough data analysis, and ensuring strict adherence to HIPAA compliance. You'll collaborate with directors and other departments to support grant reports, research, evaluation, and quality improvement projects. The role demands creativity in using quantitative analyses, problem-solving skills, and the ability to present data concisely. Ideal candidates will exhibit initiative, accuracy, and strong communication skills while thriving in collaborative environments.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Cooper University Health Care as a Data Analyst. Whether you were contacted by a Cooper University Health Care 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.

Recruiter/Hiring Manager Call Screening

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

In some cases, the Cooper University Health Care data analyst 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 Cooper University Health Care data analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Cooper’s data systems, ETL pipelines, and SQL queries.

In the case of data analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Cooper University Health Care office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the data analyst role at Cooper University Health Care.

Quick Tips For Cooper University Health Care Data Analyst Interviews

• Focus on Healthcare Analytics: Given Cooper University Health Care's strong focus on health data, try to know the latest trends and methodologies in health data analytics.
• Prepare for Technical Tests: You are likely to be asked technical questions involving SQL, statistical analysis packages, and possibly machine learning basics. Brush up on your technical skills to stand out.
• Know the Organization’s Culture: Understanding the core values and mission of Cooper University Health Care can help you tailor your responses to align with what's important to the organization.

Typically, interviews at Cooper University Health Care vary by role and team, but commonly Data 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? 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.

• 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 users who might be cheating, such as driving a car while claiming to be on a bike ride. Specify the metrics and statistical methods you would analyze.

• 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 constant, 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 a .04 p-value in an AB test? 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 Data Analyst at Cooper University Health Care?

Q: What makes Cooper University Health Care a great place to work? Our extraordinary professionals at Cooper University Health Care are continuously discovering clinical innovations and enhanced access to up-to-date facilities, equipment, technologies, and research protocols. We provide competitive rates and compensation, comprehensive employee benefits, attractive working conditions, and opportunities for professional development. Discover why Cooper University Health Care is the employer of choice in South Jersey.

Q: What are the primary responsibilities of a Data Analyst at Cooper University Health Care? The Data Analyst is responsible for creating tools for data collection, conducting data analysis, building data and reporting tables, and running queries on existing datasets. Maintaining strict adherence to security protocols and HIPAA compliance is critical, as is collaborating with various departments to support grant reports, research, evaluation, and quality improvement projects.

Q: What experience is required for the Data Analyst position? Candidates should have three to five years of experience in data analysis, knowledge of database management software (Access, SQL), and statistical packages (Mini Tab, SPSS, R). Experience in managing and administering databases, along with demonstrated expertise in Microsoft Excel, is essential.

Q: What educational background is needed for the Data Analyst role? Applicants should have a Bachelor's degree in economics, statistics, or a similar quantitative field. Experience in process improvement, previous clinical experience, and knowledge of coding systems (ICD-9, CPT/HCPCS) are preferred.

Q: How can I prepare for an interview with Cooper University Health Care? To prepare for an interview, research the company's mission and the specific role you are applying for. Practice answering common data analysis questions, and review your technical skills in tools like SQL, R, and Excel. Utilize Interview Query to practice and get insights on the types of questions you might encounter.

Choosing a career at Cooper University Health Care means joining a team committed to clinical innovation and excellence. As a Data Analyst, you’ll harness your analytical skills to support various departments, providing the critical insights needed for continuous improvement in healthcare services. This role is not only about analyzing data but also about creatively solving real-world problems and communicating your findings effectively. With access to cutting-edge technologies and a collaborative work environment, you’ll have the opportunity for professional growth and to make a significant impact in patient care.

If you want more insights about the company, check out our main Cooper University Health Care Interview Guide, where we have covered many interview questions that could be asked. At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Cooper University Health Care Data Analyst interview question and challenge.

You can explore our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!