The Analyst will play a critical role in supporting the development of growth and data-driven strategies to improve portfolio performance and drive execution, while working alongside senior leadership within GCS.
This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Capabilities, Technology, and Analytics teams to drive growth in the sales organization.
Responsibilities:
Strong Analytical Skills : Apply analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions; Deliver sophisticated analyses independently; Have outstanding knowledge of Hive, SQL, and Python encompassing data manipulation and statistical modeling/data-mining techniques; Leverage predictive modeling to identify tactics for channel optimization of existing areas and conceptualize opportunities.
Superb Communicator: Ability to drive alignment among customers and key partners; Ability to write compelling messages addressed to various audiences/levels within the organization
Strategic Mentality: Self-motivated individual who can problem-solve and think critically, to develop concrete insights backed by data and analytics; Find opportunities to strengthen business performance
Results Driven: High level of accountability and ability to address ambiguous challenges; adaptable to evolving priorities and rapid change
Out of the Box Thinking: Challenge status quo, innovate, and harbor strong curiosity
Multi-Disciplinary Leadership: Ability to lead multiple and sophisticated work streams, and to work across departmental boundaries and deliver a diverse set of initiatives that result in impactful outcomes
Minimum Qualifications:
2-4 years of relevant work experience
Bachelor s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Engineering)
Proficiency in SQL and Python is a must
Proficiency in analytical tools (e.g., Hive, PySpark, scikit-learn etc.)
Experience in Big Data environment, inclusive of data mining techniques. Hands-on analytics or ML experience and understanding of data processing. Ability to address performance issues and to manipulate both structured and unstructured data
Proficiency in CRM tools, Salesforce, or statistical software programs
Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)
Proven track record of independently developing novel analytical solutions optimizing business processes
Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal skills
Ability to deliver results, work independently, and prioritize tasks
Self-starter who thrives in an evolving, dynamic environment
