Data Analyst
Accenture India Private Limited
Data Analyst
Accenture India Private Limited
Pune
Not disclosed
Job Details
Job Description
GN - SC&O – S&P Data Analyst
Job Title - S&P Data Scientist + Associate Manager + S&C GN
Management Level: 8-Associate Manager
Location: Gurgaon,Bangalore, Mumbai, Pune and Hyderabad
Must-have skills: Data Scientist + Gen AI
Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:
Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency.
Key Responsibilities
Data Handling
• Data Collection: Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases).
• Data Audit: Lead assessment of data quality, identify gaps, and create summaries as per database requirements.
• Data Scrubbing: Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners.
• Data Profiling: Assist with creating multi-dimensional data views, data analysis reports, and extracts.
Data Classification
• Spend Classification: Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture’s spend analytics tool.
• Enhancements: Diligently incorporate feedback and make recommendations for process improvement.
• Report Generation: Create specific and opportunity spend-assessment reports/templates.
• Periodic Refreshes: Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification.
Advanced Analytics and AI/ML
• Develop custom data models and algorithms to apply to data sets.
• Use machine learning tools and statistical techniques to produce solutions to problems.
• Implement clustering and auto classification using predictive and supervised learning techniques.
• Design and implement complex data models from scratch.
• Develop and optimize ETL processes to ensure efficient data handling and processing.
• Create intuitive and effective front-end interfaces from scratch.
• Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis.
• Utilize advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations.
Industry Research
• Secondary Research: Conduct market research to create company and industry primers using online secondary data or information sources.
Technical Requirements
• Python: Hands-on experience with threading limitations and multi-process architecture.
• MySQL: Ability to integrate multiple data sources using MySQL.
• Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++).
• Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis).
• Experience with advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Collaboration and Communication
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Excellent spoken and written English communication skills, with the ability to participate in global team calls.
Professional & Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
Additional Information:
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
Job role
Work location
Pune
Department
Data Science & Analytics
Role / Category
Data Science & Machine Learning
Employment type
Full Time
Shift
Day Shift
Job requirements
Experience
Min. 2 years
About company
Name
Accenture India Private Limited
Job posted by Accenture India Private Limited
This job has expired