RESTRICTED INTERNAL USE ONLY

PRIMARY DUTIES AND RESPONSIBILITIES:
•    Works with business stakeholders to identify business problems, opportunities and/or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach or solution
•    Conceptualizes designs and develops analytics models in addressing complex business problems, discovering insights and identifying opportunities using a hypothesis-driven approach
•    Translates data into information and insights with clear scenario analysis and business impact and execution plan to drive impact
•    Works with other team members to include accurate and relevant data for machine learning models, including identification of potential proxy data sources, and design business analytics solutions, considering current and future needs, infrastructure and security requirements, load frequencies, etc..
•    Conducts data analysis and designs and develops moderately complex analytic algorithms
•    Models and frames business scenarios that are meaningful and which impacts critical business processes and/or decisions
•    Collaborates with subject matter experts to select relevant sources of information, translates business requirements into semantic access, conceptual, logical and/or physical data models
•    Executes data profiling and preventative procedures to improve data quality; uses technology to extract and analyze raw data
•    Identifies opportunities and supports the development of automated solutions that will enhance the quality of enterprise data
•    Codes, tests, debugs and documents complex programs, and enhances existing programs to ensure that data processing production systems continue to meet user requirements
•    Works to develop the specifications of customer and user specific reports including network exclusions, special circumstances, and custom data elements
•    Identifies complex areas to solve new technical problems and provides innovative technical solutions within data science and machine learning

EDUCATIONAL QUALIFICATIONS:

Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience. 

Preferred Certifications:
•    Advanced Data Analytics Certifications
•    SAS Statistical Business Analyst Professional Certification

WORK EXPERIENCE:
0-2 years of directly-related or relevant experience, preferably in healthcare data analytics or data engineering.

SKILLS & KNOWLEDGE:

Behavioral Skills:
•    Assertiveness
•    Creativity & Innovation
•    Critical Thinking
•    Impact and Influencing
•    Multitasking
•    Prioritization and Organization

Technical Skills: 
•    Advanced Data Visualization Techniques
•    Advanced Statistical Analysis
•    Big Data Analysis Tools and Techniques
•    Data Governance
•    Data Management
•    Data Modelling
•    Data Quality Assurance
•    Programming languages like SQL, R, Python

Tools Knowledge:
•    Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense
•    Data Visualization Tools
•    Microsoft Office Suite
•    Statistical Analytics tools (SAS, SPSS3)

What Cencora offers

All team members globally are provided with basic life insurance, personal accident insurance, business travel accident insurance, and EAP resources at no cost. Additional country-specific benefits such as healthcare, sick leave, death and disability, retirement, as well as perks and allowances may be provided. Details of programs vary by location.

Schedule

Full time

Affiliated Companies

Affiliated Companies: CENCORA INDIA TECHNOLOGY SERVICES PRIVATE LIMITED

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