Job Description

Role Description Role Proficiency: Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team Outcomes Managing and designing the reporting environment including data sources security and metadata. Providing technical expertise on data storage structures data mining and data cleansing. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Synthesize both quantitative and qualitative data into insights Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Understanding business requirements and translating it into executable steps for the team members. Identify and recommend new ways to streamline business processes Illustrates data graphically and translates complex findings into written text. Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback. Review the team?s deliverables before sending final reports to stakeholders. Support cross-functional teams with data reports and insights on data. Training end users on new reports and dashboards. Set FAST goals and provide feedback on FAST goals of reportees Measures Of Outcomes Quality - number of review comments on codes written Accountable for data consistency and data quality. Number of medium to large custom application data models designed and implemented Illustrates data graphically and translates complex findings into written text. Number of results located to help clients make informed decisions. Attention to detail and level of accuracy. Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Manage team members and review the tasks submitted by team members Number of mandatory trainings completed Outputs Expected Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Management And Strategy Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical Business Insights Mines the business?s database in search of critical business insights and communicates findings to the relevant departments. Code Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data. Creates efficient and reusable code. Follows coding best practices. Create/Validate Data Models Builds statistical models; diagnoses validates and improves the performance of these models over time. Predictive Analytics Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive Analytics Attempts to identify what business action to take Code Versioning Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket. etc. 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 to project related reporting standards/process Skill Examples Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings. Presentation Skills - reports and oral presentations to client Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Database languages such as SQL Programming language such as R or Python Analytical tools and languages such as SAS & Mahout. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik or Power BI. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Additional Comments ROLE: Mid Level Data Scientist REQUIREMENT: Professional experience of 5-7 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 analysing 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 analysing 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, analysing, 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,LLM,GenAI,Machine Learning