MSCI is seeking an ambitious professional to lead the development, implementation and operation of an end-to-end analytics and reporting process for revenues and key operating metrics on an enterprise-wide basis. This is an exciting opportunity to join MSCI at a key time in the Firm’s growth to play a critical role in the transformation of how revenue data and analytics are leveraged to enhance decision-making. As a key leader in the revenue accounting and reporting team, this position will collaborate with the Technology team in identifying the applications and analytical tools to build out the Firm’s data management process to deliver timely reporting, analysis and insights through reporting and visualization. This role will also partner with the global revenue recognition accounting and reporting team, the business finance teams, investor relations and FP&A to deliver the right data at the right time in an appropriate format. This position will offer career advancement opportunities, including taking on broader responsibilities in managing a global team and have the opportunity to work with a diverse set of finance and non-finance stakeholders.
Scope of Responsibility
Promotes the strategic vision for business intelligence and analytical solutions to advance data science discipline related to revenue recognition and reporting, including statistical analysis, predictive analytics and machine learning.
Architect an end-to-end Data & Analytics Operating Model (e.g., enterprise data management, reporting automation/ simplification, data science, next generation analytics technology/ platform) to support the revenue recognition reporting.
Collaborate with Technology to design and lead the technical implementation of efficient, adaptable, scalable, and reliable data pipelines and algorithms to process unstructured and structured big data
Collaborate with Technology to develop a robust data architecture for big data, transactional data and master data to support data exploration, analytics and reporting.
Acts as a champion and change agent for BI and data analytic solutions.
Collaborate Work with accounting team members to define requirements for ad-hoc data analysis and reporting
Design and lead the technical implementation of efficient, adaptable, scalable, and reliable data pipelines and algorithms to process unstructured and structured big data
Ongoing research of other industries and understanding of trends and innovations in the marketplace
Ability to translate complex analytical results into business focused visuals and story focusing on product innovation
Keep current on contemporary trends, tools and best practices in the areas of data science, analytics and visualization
Support MSCI Finance Controllers initiatives of organizational and functional transformation
Experience analyzing big data, distilled insights and making business recommendations
Ability to understand requirements of processes and data sources to deliver value-added outcomes
Detail oriented, organized and analytical thinking.
Ability to design and document procedures in a logical and organized manner.
Team player and desire to work effectively with diverse cultures in a global organization.
Strong work ethic with a proactive approach
Bachelor’s degree in Accounting Finance, Computer Science, Engineering, Information Management, Mathematics or relevant discipline required.
Six or more years of relevant work experience
Advanced degree, such as Master’s in Data Analytics, Data Science or Business Administration
Certification in data analytics, business intelligence or data science
Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis.
To all recruitment agencies: MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.
MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy/maternity leave), veteran status, or any other characteristic protected by law.