Data Science/Analytics Role - BPO/ITeS

Job Description:Data Analyst

Job Duties:

Data analyst responsibilities include conducting full lifecycle of analytics project to include requirement gathering, solution formation and design, understanding of data requirement, ETL and data acquisition, Data cleansing, Exploratory data analysis and insight generation, presentation of EDA, model building, validation, implementation and communication with stakeholder. Data analysts will develop analytics models, static and ad-hoc reports, dashboard and visualization. Capabilities with the use of statistical methods like basic statistics, linear regression, PCA, clustering, Logistic regression, Time series analysis etc. Machine Learning algorithms - SVA, Tree-based algorithm, XP boost ANN etc. Deep learning, text data analysis, basic tools - Excel, PowerPoint, and MS Access, Programming tools - R, Python, SAS, VBA Macro, Visualization tool - Power BI, Tableau etc. They will also monitor performance and quality control plans to identify improvements.

Job Responsibilities:

- Understand the client requirement and business problem

- Convert the business problem to mathematical or statistical problem

- Understand the data requirement

- Analyze data and generate insight - result interpretation and presentation, analyze data using statistical techniques and provide adhoc and ongoing reports

- Work on Data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

- Identify, analyze, and interpret trends or patterns in complex data sets

- Model development using statistical methods / ML/ text mining

- User-friendly tool development and solution implementation in the production environment

- Work with management & Client to prioritize business and information needs

Job Requirements:

- Strong Data Sense

- Strong Communication and Presentation skills

- Proven working experience as a data analyst in reputed organization

- Knowledge of statistics/ML/Text mining and experience using statistical software for analyzing datasets (Excel, PowerPoint, MS Access, VBA Macros, R, Python, SAS, Power BI, Tableau etc.)

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

- Adept at queries and drawing out the observations and key elements to presenting findings

- Experience should include hands-on delivery of projects in analysis and statistical modelling

- Must possess ability to evaluate and guide a team of data scientists on predictive modeling projects

- Strong application knowledge on tools SQL, R, SAS and Python

- Strong technical knowledge and understanding of Logistic Regression, Random Forest, XgBoost, CatBoost, New Neutral, Genetic Algorithm, Reinforcement Learning

- Strong Microsoft Excel, Word and PowerPoint skills. Ability to create client-ready presentations and drive project-related discussion with key stakeholders

- Knowledge of REST APIs and another tech to implement predictive models in live operations workflow will be a plus

- Experience of working on sales proposals and RFPs will also be a plus

- High aptitude to learn quickly, assimilate to new teams and projects, and work well under pressure with appropriate attention to detail