Client Requirement is given below
Position Assistant Director
Reporting to Associate Director
The main objective is to achieve business growth by thought leadership in analytics by developing new products and solutions for M&A Analytics and maintaining strong working relationships with key business decision makers, informing them of our scope of services and communicating how these services benefit their organizations.
Primary responsibilities and accountabilities
Translate high level business requirements problems into sound and comprehensive analytical framework through appropriate usage of advanced statistical mathematical techniques and responsible for successful delivery of the solutions
Lead in delivering well organized reports, advanced dashboards making use of new age tools and technologies
Benchmarking and measuring the performance of various business sectors & projects, building and publishing detailed KPI scorecards and reports, identifying and driving new opportunities based on customer and business data
Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team
Implement statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, figures and other relevant information
Deploy machine learning methodologies and algorithms to build data products that streamline the process from data collection to insight generation
Work with the executive leadership to develop and implement brand in the space of Analytics, extensive Partner level interaction and User business uptake & Development
Work with process owners to analyse the processes and identify improvement opportunities and drive continuous improvement initiatives across processes and systems
Build high performing teams by mentoring & coaching on various technical & behavioural aspects. Empower them to deliver better
Candidate must be highly numerate and be able to analyse a problem from various aspects .
Strong statistical background with hands on experience in Logistic and Linear Regression, Clustering and Segmentation, Time Series forecasting, Exploratory Data Analysis
Rich experience in advanced analytics predictive analytics, forecasting techniques, customer behaviour, web analytics, social media, text mining, NLP
Strong Analytical skills has ability to ask right questions, analyze data, draws conclusion by making appropriate assumptions
Knowledge of digital analysis tools like Site Catalyst, Web trends, Google analytics, Omniture etc along with exposure to Hadoop, SAS, Matlab, R, SQL, and VBA.
Experience with dashboard development, standard reporting, automation, performance management using reporting tools such as Tableau, Qlikview, or MS Excel VBA.
Experience of working on system integration implementation automation related projects would be an added advantage
B.E & M.B.A CA CFA with 10 18 years of experience in any of the following analytics solutions including predictive analytics for financial services firms and other horizontal functions marketing, sales, supply chain, operations.
8861 773 773