Senior Associate - Analytics Resume - Hire IT People

TECHNICAL SKILLS

Business Intelligence/Analytics Tools: SAS Enterprise Guide, SAS windows, Tableau, SPSS Modeler, Confidential SPSS collaboration and Deployment Studio, SAP Business Objects (Webi, LiveOffice), Tibco Spotfire (Visualization, Miner), Rapid SQL, Salesforce (Basic Reporting, Dashboard)

Database Environments: Oracle, Sql, DB2

Programing Language: Python (beginner)

Operating System: Windows, Linux

Market research Tools: SPSS MrStudio, Quantam

Version Control: SVN tortoise, Git, GitHub, GitLab

PROFESSIONAL EXPERIENCE

Confidential

Senior Associate - Analytics

Responsibilities:

Leading a six member’s team responsible for ETL, Reporting and analytics supports.
Perform ETL jobs and Data monitoring received through various financial channels.
Moreover, develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Play crucial role in process implement like CECL, Severity Loss, Loss Default, Deferral Tax analysis and implementation.
Implement Sarbanes - Oxley Act (SOX) controls mechanics for better accountability and responsibility in process.
Setup process for Confidential write-down processes based on Confidential regulatory guidelines.
Setup and systematize various analytical solutions such as random sampling method, hit rate investigation & trend analysis to certify borrower’s credit scores and collateral value validation across numerous channels.
Provide several analytical solutions and supports Confidential to quantitative validation of a predictive model based on the comparison of forecasts against realized values.
Plays crucial role to setup Confidential, which involves complete departmental deliverable inventories by interacting, BU leaders to gather data definition and transformation methodologies, prepare and inventory CDEs (Critical data element), complete data lineage and data control exercises.
Develop various SOP/Process flow/Wiki pages to amplify process consistency/quality and knowledge sharing.

Confidential

Consultant

Responsibilities:

Identify valuable data sources and automate collection processes, undertake pre-processing of structured and unstructured data established using ETL tools.
Implement various data integrity procedures to improve and endure Quality controls in EDW.
Create, Validate and deliver RMS revenue, GPS scorecard & RTI (Research tactical ideas) performance to the stockholders through Salesforce.
Deliver monthly/weekly/daily reports and ad-hoc reports to support key business functions.
Tuning SAP business object reports and root cause analysis for any data/report failure.
Essential tools training provided to end-users like Spotfire and Business object (Webi and Live Office).
Predictive analytics to support web analytics, Recommended Research, Maintain Priority contacts and Fanclub model.

Confidential

Analyst

Responsibilities:

Formulating and creating reports on various KPIs and metrics to be tracked by Technical Pricing and Performance Management team.
Report and analyze various KPIs and Performance measurement metrics, Risk Analysis, Claims Analysis, Trend movements to provide insights to positively impact the business areas.
Create Actuarial inputs to be used for Valuation & Mix processes, Written profitability, COR, Underwriting Performance & Pricing analytics etc.
Producing actuarial inputs to be used for Valuation process by the actuarial team.
Analysis and Documentation of the scope of the Business Intelligence reports.
Exhaustive use of SAS and Data warehousing tools for report generation and MIS generation process optimization.

Confidential

Analyst

Responsibilities:

Devise and evaluate methods for collecting data, such as surveys, questionnaires, and opinion polls.
Design “Survey” based on the supplied studies.
Extract data on consumers, competitors, and market conditions from live server(s) once the fieldwork completed.
Convert complex data and findings into understandable tables, graphs, and written reports.
Generation of scorecard and dashboard and worked closely with study investigators to meet specific data analysis and reporting requirements.
Perform DATA Analysis operations, which include Stat Testing, Merging and Report preparation as per the research requirement.
Managing and manipulating multiple large data sets, including defining variables, performing calculations and summarizations, and creating solutions to address client business questions.
Monitor and forecast marketing and sales trends.
Evaluate program methodology and key data to ensure that data on the releases are accurate and the angle of the release is correct

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