Senior Lead Analytics Consultant

Key Skills

Microsoft-Excel, Java Programming, Oracle, Python Programming, Database, SQL, PowerBI, SQL Server, Data Visualization, Tableau, Teradata, R Programming, SAS, Large data sets, Decision Forests, SharePoint

Job Description

• Providing business and technical leadership to develop analytics team delivering across multiple functions within Commercial Business functional areas
• Responsible for maintaining partner relationships, ensuring high quality team deliverables and SLAs
• Working closely with the US partners on daily basis, interacting closely with multiple business partners anchor program managers
• Work independently, foster a culture of healthy and efficient working for the team
• Designing and solving complex business problems by analytical techniques and tools
• Will be involved directly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, automation etc. that enable analysis, modeling, and/or advanced data visualization including development of Business Objects/ Tableau reports using multiple databases
• Recommends potential data sources; compiles and mines data from multiple, cross business sources.
• Works with typically very large data sets, both structured and unstructured, and from multiple sources
• Develops specific, customized reports, ad hoc analyses and/or data visualizations, formatted with business user-friendly techniques to drive adoption, such as (1) Excel macros/pivoting/filtering, (2) PowerPoint slides and presentations, and (3) clear verbal and e-mail communications
• Works with senior consultants or directly with partners, responsible for identifying and defining business requirements and translating business needs into moderately complex analyses and recommendations. 
• Works with local and international colleagues and with internal customers, responsible for identifying and defining business requirements and catering to business needs for the team
• Collaborate with internal teams and participate in knowledge exchange and organization initiatives
• Ensures adherence to data management/data governance regulations and policies
• Identify analytics opportunities and drive business efficiencies and growth through advanced analytics / Machine Learning/ AI based projects
• Apply machine learning techniques to identify patterns and recognition such as Fraud/Anomaly detection, Loss prediction/Forecasting etc. and drive value to the business
• Applies knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and present key project findings/ insights it to leadership
• Ability to work overlap hours with US team
• Shift 1:30-10:30 pm

Essential skills qualifications:

• 10-12+ years of reporting experience, advanced analytics experience, or a combination of both; or a MS/MA degree or higher in a quantitative field such as applied math, statistics, Operations Research, Engineering, Physics, Accounting, Finance, Economics, Econometrics, Computer Sciences, or Business/social and behavioral sciences with a quantitative emphasis
• 10+ years of experience in one or more of the following: Modeling, Forecasting, Decision Trees, Text Analytics, Clustering, Anomaly Detection/ Fraud analytics as well as other statistical /ML and performance analytics
• 10+ years of experience with SAS, SQL, Tableau, R/Python or other data management, reporting, and query tools
• 8+ years of experience in developing and creating BI dashboards and data visualization, working on end to end reports, deriving insights from data
• 8+ years of experience in descriptive, diagnostics and predictive analytics
• Partner Management experience with ability to effectively drive results, provide feedback/direction, and manage and build relationships with leaders and team members in a geographically dispersed team environment.
• Knowledge of an environment that utilizes large relational databases such as SQL Server, Oracle, DB2, or Teradata
• Excellent verbal, written, and interpersonal communication skill
• 4+ years of project leading experience in mentoring or training other team members.

 Desired Skills

• Languages: T-SQL, PL/SQL, SAS, R/Python
• BI Tools: Oracle BI, SSRS, Tableau
• ML Techniques: Logistic Regression. Random Forest, Clustering, Support Vector Machine, Time Series etc.
• Strong analytical skills with high attention to detail and accuracy 
• Commercial Business Analytics experience is preferred
• Understanding Financial products, systems, and platforms
• Applications: MS Office (Access, Excel, Word), SharePoint