Werfen, founded in 1966, is a global leader in the development, manufacturing, and distribution of specialized diagnostic instruments and data management solutions for hospitals and clinical laboratories. The company’s business lines include Hemostasis, Acute Care, Autoimmunity diagnostics, and Original Equipment Manufacturing. Werfen's commitment to innovation, quality, and customer care helps healthcare professionals enhance hospital efficiency and patient care.

The Data Analyst role at Werfen provides business intelligence insights to aid strategic decision-making. This position focuses on reporting, analytics, and building strong relationships with business partners related to Quality systems. Key tasks include data visualization, trend identification, and collaboration with various internal teams. If you excel in data management and thrive in dynamic environments, this role could be an excellent fit for you.

Explore our guide on Interview Query to prepare for your interview with Werfen and learn more about the Data Analyst role.

Submitting Your Application

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

Quick Tips For Werfen Data 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 Werfen interview include:

• Know Your Werfen Products: Werfen questions are standardized and rely heavily on situational scenarios with their products. Study Werfen's large breadth of products and understand how you would personally improve or test them.
• Be Data Driven: Werfen’s data science interviews assess how well you can provide business-driving insights with data science. Brush up on your knowledge of statistics and probability, given these questions can be some of the hardest to solve.
• Embody the Spirit: Werfen at its core has an employee-focused culture that values innovation. Practice responding to behavioral questions with answers that touch on Werfen’s core values.

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

• Write a function calculate_rmse to calculate the root mean squared error of a regression model. The function should take in two lists, one that represents the predictions y_pred and another with the target values y_true.

• Write a query to get the last transaction for each day from a table of bank transactions. Given a table of bank transactions with columns id, transaction_value, and created_at, write a query to get the last transaction for each day. The output should include the id of the transaction, datetime of the transaction, and the transaction amount. Order the transactions by datetime.

• Write a function random_key that returns a key at random with a probability proportional to the weights. Given a dictionary with weights, write a function random_key that returns a key at random with a probability proportional to the weights.

• Write a function to get a sample from a standard normal distribution.

• Write an efficient function nearest_entries to find the closest element to N in a sorted list and return surrounding elements. Given a sorted list of integers ints with no duplicates, write an efficient function nearest_entries that takes in integers N and k and returns the element closest to N along with the k-next and k-previous elements of the list.

• How would you analyze the churn behavior of users on different Netflix pricing plans? Netflix has two pricing plans: $15/month or $100/year. An executive wants to understand the churn behavior of users on these plans. What metrics, graphs, and models would you build to provide an overarching view of subscription performance?

• How would you predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, how would you build a model to predict which merchants the company should target for acquisition when entering a new market?

• How would you value the benefit of keeping a hit TV show on Netflix? Netflix executives are considering renewing a deal with another TV network for exclusive streaming rights to a hit TV series. The show has been on Netflix for a year. How would you approach valuing the benefit of keeping this show on Netflix?

• How would you measure and address the success of LinkedIn’s newsfeed ranking algorithm?

• How would you measure the success of LinkedIn’s newsfeed ranking algorithm?

• If some success metrics for the newsfeed algorithm are increasing while others are decreasing, how would you approach this situation?

• How would you determine the statistical significance of an AB test for a landing page redesign? We want to launch a redesign of a landing page to improve the click-through rate using an AB test. How would you infer if the results of the click-through rate were statistically significant or not?

• How would you explain what a p-value is to someone who is not technical? Explain the concept of a p-value in simple terms to a non-technical person, focusing on its role in determining the significance of results in hypothesis testing.

• How many more samples are needed to decrease the margin of error from 3 to 0.3? Given a sample size (n) with a margin of error of 3, calculate the additional number of samples required to reduce the margin of error to 0.3.

• How would you determine if the results of an AB test on click-through rate are statistically significant? Describe the process of analyzing AB test results to determine if the observed differences in click-through rates are statistically significant.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, describe the steps you would take to build a predictive model for identifying which merchants the company should target for acquisition when entering a new market.

• How would you assign point values to letters in a Spanish Scrabble game without knowing Spanish? If tasked with building Scrabble for Spanish users and you don't know Spanish, explain your approach to assigning point values to each letter.

What is the average salary for a Data Analyst at Werfen?

Q: What does Werfen do?

Werfen is a global company that develops, manufactures, and distributes specialized diagnostic instruments, reagents, automation workcells, and data management solutions primarily for hospitals and clinical laboratories. Their business lines include Hemostasis, Acute Care, and Autoimmunity diagnostics.

Q: What are the key responsibilities of a Data Analyst at Werfen?

As a Data Analyst at Werfen, you will be responsible for developing reporting, dashboards, and analysis tools to drive informed strategic decisions. You'll work with visualization tools like MS Power BI, collaborate with different internal teams, and focus on improving the quality and reliability of complaint and other Quality data.

Q: What skills and experience are necessary for a Data Analyst position at Werfen?

Candidates should have a Bachelor's degree in Business Administration, Finance, Business Analytics, or a related field, with a preference for a Master's degree. Experience with Power BI, SAP, large datasets, and a customer-first mindset are crucial. Strong analytical, problem-solving, and communication skills, along with the ability to work independently, are also essential.

Q: What is the interview process at Werfen like for the Data Analyst position?

The interview process typically involves multiple stages, including a recruiter call, technical interviews, and potentially an onsite interview. It is designed to evaluate your technical skills, problem-solving abilities, and cultural fit with the company.

Q: What perks and benefits does Werfen offer?

Werfen offers several perks including participation in Team Sports, access to a company gym and locker rooms, and subsidized cafeteria prices. They emphasize constant learning and daily challenges, making it an exciting place to grow professionally.

Interested in working at Werfen? Prepare for your interview with Interview Query and get closer to landing your dream job!

If you are inspired by Werfen's dedication to innovation and quality and eager to play a crucial role in improving hospital efficiency and patient care, this Data Analyst role is for you. Dive deep into analytics, collaborate across departments, and drive strategic decisions. For more insights, check out our main Werfen Interview Guide, where we cover many interview questions you might face. At Interview Query, we equip you with the knowledge, confidence, and strategic guidance to ace your Werfen interview. Discover all our company interview guides for better preparation. Good luck with your interview!