Lead Data Engineer - Data Engineering

PRIMARY DUTIES AND RESPONSIBILITIES:
• Leads design, development, and automation of scalable Analytic data engineering products leveraging Machine Learning, cloud infrastructure
• Leads the design, build and operationalization of monitoring and tracking of data quality and data flow dynamics
• Optimizes existing data processes and implements best-in-class data transformation capabilities
• Leverages advanced statistical and computational methodologies to deliver insights and identify strategic opportunities
• Implements Data Ingestion Framework and other re-usable components leveraged for delivering data pipeline and supporting ad-hoc data ingestions
• Assists with development and storage of analytics-ready data for development of analytic deliverables
• Recommends data products to solve business problems meeting multiple stakeholder requirements
• Drives project planning processes, delegates non-complex tasks to junior team members
• Mentors other team members and assists them with priority setting and issue resolution
• Maintains data and information environment that provides consistent and accurate reporting of the client’s data
• Leverages Machine Learning to enhance the developed solution
• Collaborates with Business and Client representatives to target strategic analytics opportunities and define deliverable scope
• Facilitates the resolution of issues regarding projects being worked on to include proper documentation of recommendations for those issues
• Manages multiple initiatives in parallel partnering with other Analytics team members and conducts review meetings with stakeholders to drive prioritization effort
• Analyzes model errors and design strategies to overcome them
• Implements best practices for data engineering to ensure quality delivery of enterprise solutions

• Brings expert knowledge of data visualization tools and techniques to drive business analytics and semantic data access requirements.
• Work closely with business users, vendors, and delivery teams to understand the business requirements that drive the analysis and design of business analytics and reporting solutions.
• Conceptualize, design, and develop data visualization solutions that synthesize data concepts into clear communications for key business stakeholders.
• Drives business stakeholder adoption of insights-driven decision making and/or business process innovation.
• Leads knowledge transfer around using data visualizations to business stakeholders.
• Assist in developing best practices for data presentation and sharing across the organization.
• Ensures data visualization standards are maintained and implemented.
• Demonstrate an ability to reduce data to the bare minimum of what is needed to optimally communicate a message.
• Provides technical leadership, coaching and mentoring to team members and business users.
• Participates in POC projects and provides business analytics solutions recommendations.
• Evaluates new visualization tools and performs research on best practices.
• Contributes to strategic planning meetings and provides guidance and expertise on system options, risk, cost vs. benefits, and impacts on business processes and goals.
• Has expertise in multiple technical environments and possesses business knowledge that spans multiple business areas.
• Responsible for BI Tool administration & security functions as designated

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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
• AI and ML Certifications
• SAS Statistical Business Analyst Professional Certification

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

SKILLS & KNOWLEDGE:

Behavioral Skills:
• Conflict Resolution
• Creativity & Innovation
• Decision Making
• Planning
• Presentation Skills 
• Risk-taking

Technical Skills:
• Advanced Data Visualization Techniques
• Advanced Statistical Analysis
• Big Data Analysis Tools and Techniques
• Data Governance
• Data Management
• Data Modelling
• Data Quality Assurance
• Machine Learning and AI Fundamentals
• 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.

Full time

Affiliated CompaniesAffiliated 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 [email protected]. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned