Job Description

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Role Proficiency:
Independently develop data-driven solutions to difficult business challenges by utilize analytical statistical and programming skills to collect analyze and interpret large data sets under supervision.
Outcomes: * Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to make models that can generate business insights

• Create new experimental frameworks or build automated tools to collect data
• Correlate similar data sets to find actionable results
• Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns.
• Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc
• Develop processes and tools to monitor and analyse model performance and data accuracy.
• Develop Data Visualization and illustrations on given business problem
• Use predictive modelling to increase and optimize customer experiences and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Set FAST goals and provide feedback on FAST goals of reportees

Measures of Outcomes: * Number of business processes changed due to vital analysis.

• Number of Business Intelligent Dashboards developed
• Number of productivity standards defined for project
• Number of Prediction and Modelling models used
• Number of new approaches applied to understand the business trends
• Quality of data visualization done to help non-technical stakeholders comprehend easily.
• Number of mandatory trainings completed

Outputs Expected:
Statistical Techniques: * Apply statistical techniques like regression
properties of distributions
statistical tests
etc. to analyse data.
Machine Learning Techniques: * Apply machine learning techniques like clustering
decision tree learning
artificial neural networks
etc. to streamline data analysis.
Creating advanced algorithms: * Create advanced algorithms and statistics using regression
simulation
scenario analysis
modelling
etc.
Data Visualization: * Visualize and present data for stakeholders using: Periscope
Business Objects
D3
ggplot
etc.
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: * Creating efficient and reusable code meant for the improvement
manipulation
and analysis of data.
Version Control: * Manages project codebase through version control tools e.g. git
bitbucket etc.
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
Create Reports: * Creates reports depicting the trends and behaviours from the analysed data

• Training end users on new reports and dashboards.

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

Skill Examples: * Excellent pattern recognition and predictive modelling skills

• Extensive background in data mining and statistical analysis
• Expertise in machine learning techniques and creating algorithms.
• 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 numbers trends and data and come to new conclusions based on the findings.
• 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 and have strong interpersonal skills to work in collaborative environment
• Proactively ask for and offer help

Knowledge Examples:
Knowledge Examples * Programming languages - Java/ Python/ R.

• Web Services - Redshift S3 Spark DigitalOcean etc.
• Statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc.
• Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc.
• Computing Tools - Map/Reduce Hadoop Hive Spark Gurobi MySQL etc.
• Database languages such as SQL NoSQL
• Analytical tools and languages such as SAS & Mahout.
• Practical experience with ETL data processing etc.
• Proficiency in MATLAB.
• Data visualization software such as Tableau or Qlik.
• 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 about sub domain where problem is solved
• Proficient in at least 1 version control tool like git bitbucket
• Have experience working with project management tool like Jira

Additional Comments:
Must have -Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn)
Skills:
Data Management,Data Science,Python
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.