Data Analyst

at  Cencora

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

EXPERIENCE AND EDUCATIONAL REQUIREMENTS

• Bachelor’s degree in information management, Engineering, Computing, Mathematics, Statistics, or related fields Years (3) or more years data analyst experience preferred.
• Must have experience managing large datasets and performing advanced analytics (i.e. Excel modeling, Access)
• Working experience with Power BI, and SQL
• Experience with ETL processes (Extract - Transform - Load)
• Experience with Alteryx & Salesforce are nice to have.
• Desired Experience using programming language or statistical packages for analyzing datasets.
• Languages: Fluency in Spanish and English is mandatory (reading, writing, listening, speaking) and Advanced Portuguese will be considered a plus.

MINIMUM SKILLS, KNOWLEDGE, AND ABILITY REQUIREMENTS

• Strong quantitative skills; math / computer science
• Proficiency in MS Office Applications
• Strong collaboration and communication skills
• “Self-starter” with the ability to work well both independently as well as within a team-oriented environment.
• Innovative thinker and problem-solver; capable of developing new and creative ways of solving complex problems using data.
• Strong work and time management skills; able to work effectively and independently under tight timelines.
• Experience in data mining techniques and knowing when their use is appropriate.
• Analytical Skills: Ability to work with large amounts of data: facts, figures, and number crunching.
• Ability to present complex data, findings, ideas, and/or information to enable understanding and act.
• Problem Solving and Critical Thinking: Ability to review the data for trends, drawing logical conclusions based on these findings.
• Attention to Detail: Vigilant in precision of data analysis to draw the correct conclusion of findings.
• Able to easily communicate technical concerns and solutions to many different people with varying degrees of technical knowledge as well as work with individuals in IT and InfoSec to help solve their technical issues.

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 returne

1. Performs logical data modeling, analyzing, and mining business data to identify patterns and correlations among the various data points within a given process from existing internal or external data sources.
2. Conducts mapping and tracing of data from system to system to solve a given business or system problem, or identification of a business opportunity.
3. Manipulate data via established analytic models within the company.
4. Translates data into information that can be effectively utilized in terms that non-technical staff can fully understand.
5. Identifies problematic areas and conducts research to determine the best course of action to correct the issues within the data.
6. Analyzes and problem solve issues with current and planned systems as they relate to the integration and management of data.
7. Analyzes reports of data duplicates or other errors to provide ongoing appropriate inter-departmental communication.
8. Monitors for timely and accurate completion of select data elements.
9. Develops and implements data extract, transform and load procedures that optimize data collection and quality.
10. Interprets data and develops recommendations based on findings.
11. Generates routine and ad hoc reports.
    .