Associate III

Role Description
Role Proficiency:

Independently interprets data and analyses results using statistical techniques

Outcomes

• Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person; generating insights and helping clients make better decisions.
• Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data.
• Utilizes historical data sets and planned changes to business models and forecast business trends
• Working alongside teams within the business or the management team to establish business needs.
• Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders.
• Set FAST goals

Measures Of Outcomes

• Schedule adherence to tasks
• Quality – Errors in data interpretation and Modelling
• Number of business processes changed due to vital analysis.
• Number of insights generated for business decisions
• 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 depict 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 and 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 an understandable document
• 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 to come with accurate conclusions.
• Quantitative skills - knowledge of statistical methods and data analysis software
• Presentation Skills - reports and oral presentations to senior colleagues
• 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
• Advanced 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
This SO is created to hire replacement of Mayank Raj 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 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
Problem Solving,Python,Data Science