PRIMARY DUTIES AND RESPONSIBILITIES:
•    Facilitates implementation of enhancements or changes to existing business analytics solutions, by helping translate business needs into semantic data access requirements
•    Performs data mining exercises with vast data sets to find opportunities to grow sales, margin and market share via tele sales call campaigns, analyzes all pricing activities including discounts, allowances, programs, and contract price and develop recommendations to improve profitability and mix
•    Validates data sources, data quality, data transformation and data aggregation
•    Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data
•    Works with data stewards to gather requirements on merging, de-duping, cleansing rules
•    Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes
•    Ensures that the information is named properly and defined consistently across the organization
•    Identifies opportunities for reuse of data across the enterprise
•    Monitors data dictionary statistics, analyzes reports of data duplicates or other errors to provide ongoing appropriate data reports
•    Collaborates with different teams like Inside Sales, Finance and Sourcing in the development and preparation of performance forecasts, projections, and plans based upon numerous variables and data assumptions
•    Identifies problematic areas and conducts research to determine the best course of action to correct the data, identifies, analyzes and interprets trends and patterns in complex datasets
•    Performs quantification and impact analysis of existing or proposed operational policies, procedures and governance frameworks
•    Assists in the coaching and training of business analytics solution users to enhance business decision-making capability
•    Analyzes results of system audits to determine and report variations or problem areas, keen attention to detail including an ability to identify data anomalies
•    Works cross-functionally with different departments to assess, define, and develop report deliverables
•    Accurately codes variables from original information or data and completes statistical analyses as required

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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:
2+ years of directly related or relevant experience, preferably in healthcare data analytics or data engineering.

Must have – SSIS, SQL, Databricks, Synapse.

SKILLS & KNOWLEDGE:

Behavioral Skills:
•    Critical Thinking
•    Detail Oriented
•    Interpersonal Communication
•    Learning Agility
•    Problem Solving
•    Time Management

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

​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