A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in over 40 countries. The Group reported 2017 global revenues of EUR 12.8 billion.
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Job Title: Senior Data Analyst
Position Type: Permanent/Fulltime
Requires Bachelor's degree from an accredited college or university, preferably in a Quantitative Field (e.g. Actuarial, Analytics, Data Science, Mathematics, Engineering, Public Health, Data Science Information Systems, Statistics, etc.).
10+ Years of relevant work experience
8+ Years in Data Analysis or data related roles
6+ Years of Healthcare experience
The responsibilities listed below are generic and may vary based on different levels of consultants requested. The responsibilities for requested role will be agreed upon with requested client manager.
Directly interacts with more senior level internal and external stakeholders (i.e. Managers, Directors, etc.)
Act as a subject matter expert in one or more designated data domains.
Play a lead role in Data Governance Domain Workgroups as domain SME
Partners with BSG and business to define & document data related requirements, and settle deliverables and deadlines, utilizing negotiation and creativity independently.
Lead and provide direction to data analysts
Translate highly complex concepts and conclusions in a clear and concise manner in ways that can be understood by a variety of audiences
Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and make recommendations based on analysis results
Perform root cause analysis on complex data anomalies and working closely data stewards to define best practice
Facilitate review sessions with management, business users and other team members
Direct and review the work of other Data Analysts
Coach and mentor junior analysts
Provide estimates for work efforts on projects
Oversees the creation of data assessments and project deliverables
Development of best practices, guidelines and standards for Data Governance, Data Quality and Data Integration&
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