Operations Data Analyst

Karl Storz Endoscopy

Job Description KARL STORZ is currently seeking a highly motivated Data Analyst to join the Operations team. Reporting to the Lead Analyst of Customer Experience, the ideal candidate has expertise in Tableau visualization and is passionate about creating business value through designing and developing robust and performant data models. Collaborating across customer support, technical services, logistics, compliance, OR1, and other business teams, this position will design and implement datasets and reports in Tableau, as well as perform analysis and share underlying trends and actionable insights to help our stakeholders in decision-making. This opportunity will get you working on large-scale structured, unstructured data sets, and apply various data engineering and modeling techniques on real-world datasets to build and deploy models.

A well-qualified candidate should be highly technical with strong business acumen. They are a self-starter with abundant intellectual curiosity who excels at framing problems analytically, are comfortable working through ambiguity, and have a proven track record of helping leverage analytical insights to drive impactful decisions. Responsibilities Collaborate with internal business partners facilitating the design, build, and automation of reports/dashboards in Tableau that provide actionable insight into customers, products, and sales force. Mine data, perform quantitative analysis, and create clear and actionable narratives about our customers, their behaviors, and drivers of retention and engagement.

Leverage data modeling, wrangling, and analytics techniques to investigate our internal data and external data (e. g. , surgical procedures) to boost our understanding of the medical devices market. Partner with compliance teams to understand the business context, develop metrics to measure performance, and iterate and improve on data insights and solutions to deliver actionable information to the business.

Collaborate with stakeholders including technical services, logistics, compliance, OR1 customer service, etc. on initiatives that improve our company-level KPIs and match our business priorities. Develop and deploy solutions for solving business problems with predictive modeling techniques. Build intuitive interfaces, infographics, and visualizations to tell stories with data.

Create presentations with analysis and insights for both technical and non-technical audiences. Be constantly curious and continue to pursue in-depth explorations of our datasets. Communicate complicated data findings in a clear and concise manner to stakeholders. Ad-hoc analysis to address urgent high-impact analysis for business stakeholders Required Qualifications A Bachelor’s degree in a quantitative discipline (e.

g. , Statistics, Computer Science, Math, Engineering) or equivalent consulting experience. 3 years of experience with data exploration and visualization like Tableau, Looker, PowerBI, etc. It is a plus if you can share a portfolio of clear, intuitive, and insightful visualizations.

3 years of experience in data analytics, including building and deploying enterprise-wide data models with applications to real-world problems. Effective written and verbal communication skills to translate technical solutions and methodologies to executive leadership. Demonstrated success working in a collaborative, service-oriented team environment. Experience working in a cross-functional setting, managing the full lifecycle of projects.

Experience working well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Attention to detail with self-discipline and a drive for results. Advanced problem-solving, organizational, analytical, and critical thinking skills. Proven experience with tolerance for ambiguity working through incubation to actual product definition.

Pragmatic attitude and ability to rapidly iterate and evolve ideas into practical implementations. Proficient in SQL and/or other data query languages. Experience in handling large-scale data with efficiency. Familiarity with Python or R is a plus.

Experience in medical devices or the healthcare industry is a plus. Join a dynamic team with a remote work policy that allows the flexibility to work three days from home and two days in the office or on a rotational schedule of one week from home and one week in the office. LI-AA1

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