Under general supervision of the Supply Chain Data Scientist, responsible for turning data into critical information and insights that will support decision making. The Data Analyst will work collaboratively with the remote team and stakeholders, identifying sources of data for problems and initiatives, use analytics techniques to model business problems, document assumptions and identify opportunities using statistical, algorithmic, mining and visualization techniques. Last, the Data Analyst will present finding in interactive dashboards or visualization and story boards that highlight findings and opportunities.

• Understand business processes and how data is linked to them to identify opportunities and or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach or solution.

• Maintain and improve data models that support supply chain analytics

• Create models to standardize reporting and visualization dashboards

• Support modeling and optimization initiatives by providing data inputs and partnering in the development of scenarios and dashboards to interpret output results

• Maintain documentation and best practices and share with the team to continuously develop the “citizen data scientists”

EXPERIENCE AND EDUCATIONAL REQUIREMENTS:

• Bachelor’s or master's degree in data analytics, mathematics, statistics or computer science or related field.

• Typically requires 3 or more years of relevant quantitative and qualitative and analytics experience.

• Solid knowledge of statistical techniques.

• The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

• Strong programming skills (such as Hadoop MapReduce, Spark or other big data frameworks, Java, Python) and statistical modeling (like SAS or R).

• Experience using machine learning algorithms.

• High proficiency in the use of statistical packages.

• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

• Lean or Six Sigma experience improving processes by using data insights

• Strong communication and interpersonal skills.

• Supply Chain industry/business knowledge preferable.

MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS:

Building Relationships – Works collaboratively with others

Business Function Knowledge – Open minded; Proposes solutions to complex problems

MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS:
 

• Team oriented and collaborative working style.

• Growth mindset, positive attitude and strong interest in solving business challenges, adapting to a changing work environment.

• Ability to communicate effectively both orally and in writing; ability to communicate (and work) effectively with people from different technical and business backgrounds, acting as a liaison, understanding, and appreciating different perspectives and translating into terms necessary for any group or individual to understand.

• Presentation skills: ability to present and discuss technical information in a manner that establishes rapport, persuades others, and establishes understanding for technical and non-technical audiences.

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• Strong organizational skills; attention to detail.

• Strong interpersonal skills.

• Shows tactful discretion with difficult/sensitive information.

• Ability to resolve issues effectively and efficiently.

• Ability to identify the appropriate level of detail and effort commensurate with assigned tasks.

• Must be able to interact well with others both directly (face-to-face) and remotely within a multi-discipline shared work environment.

What Cencora offers

​Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Affiliated Companies

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned