Senior Analyst, Data Visualization

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Red Oak Sourcing is a 50/50 joint venture between two Fortune 20 companies, Cardinal Health and CVS Health. Red Oak has sole responsibility for generic pharmaceutical sourcing for Cardinal Health and CVS Health’s retail division and pharmacy benefit manager - representing 85% of the pharmaceutical product volume of the two companies – making Red Oak is one of the largest generic sourcing entities in the U.S.

About our Parent companies: CVS Health - with more than 9,800 CVS retail pharmacy stores, a leading pharmacy benefit manager, and over $175 billion in revenue - is the largest pharmacy health care provider in the United States. CVS dispenses or manages nearly 2 billion prescriptions annually. Cardinal Health, which employs 50,000 people worldwide, is a $130 billion health care services company, providing pharmaceuticals and medical products to nearly 85% of U.S. hospitals and over 24,000 pharmacies.

Position summary

The Strategy & Analytics team runs a wide variety of on-going and ad hoc projects and analytics to inform daily generic pharmaceutical sourcing strategy as well as longer-term decisions made by the Executive Leadership Team. This role will be responsible for continuously developing and improving the dashboards and Tableau visualizations that ensure that all business decision makers have all the information they need at their fingertips to efficiently make decisions. In addition, this role will be involved in investigating new use cases for data & analytics technologies, and proposing data-driven solutions to supply management, product risk analysis, and cost reduction. Responsibilities also include working with the data science team to best visualize model results, and working with the strategy and analytics teams to discover new sources of data and continually improve our databases and data platforms.

Responsibilities

Develop & Improve Dashboards and Visualizations

• Design and create new Tableau dashboards and visualizations as needed
• Meet regularly with dashboard users to better understand their business and informational needs, and educate them on how dashboards and visualizations can help them
• Continually monitor dashboard use/disuse and use those patterns to inform improvements
• Serve as the visualization subject matter expert and evangelist, by providing expert advice to the team and continually elevating our visualizations in day-to-day work and in presentations
• Remain up to date on emerging applicable visualization technologies and analytical methods and recommend them as appropriate
• Organize, categorize, document, and quality control dashboards and visualizations.

Work cross functionally to find and incorporate new data sources

• Conduct research across the business functions to understand the Red Oak business and the generic pharmaceutical industry
• Identify & evaluate new data sources
• Work with analytics & data science teams to develop onboarding, ETL, and storage approaches that will ensure ready access to necessary data and good data governance
• Work with data science team to help visualize complex predictive and prescriptive model results in a way that makes it meaningful to decision makers

Qualifications

• 2-3+ years of experience designing and developing dashboards and visualizations for business decision makers
• Would be able to share a portfolio of visualizations (Tableau Public for example) to demonstrate ability to turn complex data into meaningful, useful, and easy to digest visualizations
• Technical proficiency in Tableau is required
• Bachelor’s degree in quantitative or technical field required (e.g. data science, applied analytics, econometrics, mathematics, engineering, etc.) (or Bachelor’s degree in non-technical field with sufficient experience to demonstrate competency)
• Proficiency in SQL and strong understanding of relational databases required
• Proficiency in Alteryx or similar visual data processing packages a plus, willingness to learn required.
• Expertise in PowerPoint and Excel (e.g., modeling capabilities)
• An obsession with learning and continuous improvement is essential
• Ability to build and present a business case extending from proposed data initiatives and analysis

Highly Preferred

• Advanced degree in quantitative or technical field preferred (e.g. data science, applied analytics, econometrics, mathematics, engineering, etc.)
• Basic understanding of advanced statistical methods (sampling; regression methods; classification algorithms; distributions, etc.)
• Proficiency in Python and common data science packages (numpy, scipy, pandas, sklearn, etc.) or other languages such as R or Julia is a huge plus, willingness to learn required
• Expertise in PowerPoint and Excel (e.g., modeling capabilities)
• Experience with innovation methods is a plus (e.g., human centered design, systems thinking)