Associate Ii

Role Proficiency Interprets data and analyses results using statistical techniques under supervision Outcomes Complies and assist in mining and acquiring data from primary and secondary sources reorganizing the data in a format that can be easily read by either a machine or a person Assist in identifying analyzing and interpreting trends or patterns in data sets generating insights and helping clients make better decisions Conducts research on specific data sets to enable the senior analysts in their work Assist in managing master data including creation updates and deletions Help developing reports and analysis that effectively communicate trends patterns and predictions using relevant data Provide support with technical writing and editing as required Develop analytics to identify trend lines across several data sources within the organization Assists senior analysts in examining and evaluate existing business processes and systems and offer suggestion for changes Set FAST goals Measures of Outcomes Schedule adherence on tasks Quality - errors in data presentation and interpretation Number of business processes changes highlighted due to vital analysis Number of stakeholder appreciations escalations Number of customer appreciations No of mandatory trainings completed Outputs Expected Data Mining Acquiring data from various sources Reorganizing Filtering data Consider only relevant data from the mined data and convert it into a format which is consistent and analysable Analysis Use statistical methods to analyse data and generate useful results Create Data Models Use data to create models that depicts trends in the customer base and the consumer population as a whole Create Reports Create reports depicting the trends and behaviours from the analysed data Document Create documentation for own work as well as perform peer review of documentation of others work Manage knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards process Code Create efficient and reusable code Follows coding best practices Code Versioning Organize and manage the changes and revisions to code Use a version control tool like git bitbucket etc Quality Provide quality assurance of imported data working with quality assurance analyst if necessary Performance Management Set FAST Goals and seek feedback from supervisor Skill Examples Analytical Skills Ability to work with large amounts of data facts figures and number crunching Communication Skills Ability to present findings or translate the data into understandable documents Critical Thinking Ability to look at the numbers trends and data coming up with new conclusions based on the findings Attention to Detail Making sure to be vigilant in the analysis coming up with accurate conclusions Quantitative skills - knowledge of statistical methods and data analysis software Research skills It is essential that applicants can undertake in-depth research quantify the information and produce qualitative and quantitative reports Mathematical Skills to estimate numerical data Work in a team environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Proficient in mathematics and calculations Spreadsheet tools such as Microsoft Excel or Google Sheets knowledge of Tableau or PowerBI SQL Python DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Code version control e g git bitbucket etc Additional Comments ROLE Junior Data Scientist REQUIREMENT Professional experience of 3-5 years in business analysis requirement gathering solution workflow design for AI ML Analytics project Experience in programming skills in Python and SQL Strong understanding of ML libraries and applications e g Time series analysis Neural Net SVMs boosting methods and implementation using Python Experience in Deep learning techniques Excellent Communication skills to effectively collaborate with business SMEs UX team Intermediate knowledge with Dev Ops practices including CICD Automation Build Management and Versioning Understanding of Cloud services including Microsoft Azure GCP or Amazon Web Service Experience in LLM Gen AI - Prompt Engineering RAG and parameter hypertuning Experience in Pyspark will be an added advantage RESPONSIBILITIES Excellent problem solving Critical and Analytical thinking skills and hands on coding skills Proficient in Data fetch data merge data wrangling exploratory data analysis and feature engineering Python SQL Skills with working knowledge of machine learning algorithms Drive client engagement fully and align the development team towards a technical roadmap Implements analytical requirements by defining and analyzing system problems designing and testing standards and solutions Develops solution by preparing and evaluating alternative workflow solutions Determines operational objectives by studying business functions gathering information evaluating output requirements and formats Designs new analytical solutions by analyzing requirements constructing workflow charts and diagrams studying system capabilities writing specifications Improves systems by studying current practices designing modifications Recommends controls by identifying problems writing improved procedures Defines project requirements by identifying project milestones phases and elements forming project team establishing project budget Monitors project progress by tracking activity resolving problems publishing progress reports recommending actions Maintains system protocols by writing and updating procedures Provides references for users by writing and maintaining user documentation providing help desk support training users Maintains user confidence and protects operations by keeping information confidential Prepares technical reports by collecting analyzing and summarizing information and trends Maintains professional and technical knowledge by attending educational workshops reviewing professional publications establishing personal networks benchmarking state-of-the-art practices participating in professional societies Skills Python Natural Language Processing Machine Learning About Company UST is a global digital transformation solutions provider For more than 20 years UST has worked side by side with the world s best companies to make a real impact through transformation Powered by technology inspired by people and led by purpose UST partners with their clients from design to operation With deep domain expertise and a future-proof philosophy UST embeds innovation and agility into their clients organizations With over 30 000 employees in 30 countries UST builds for boundless impact touching billions of lives in the process