GN - SC&O S&P Data Analyst
- Accenture
- 8 to 12 Yrs
- 2 months ago
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Job Description
- 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 Accentures 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. About Our Company | Accenture Experience: Minimum 8+ Years of experience is required Educational Qualification: Bachelors Fulltime,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: GN - SC&O S&P Data AnalystContact Details:
Company: AccentureLocation(s): Maharashtra,
Keyskills: Python MySQL R SQL JavaScript Java CSS C Trees Text Mining Social Network Analysis Statistics Regression Simulation Scenario Analysis Modeling Clustering Decision Trees Neural Networks Data Audit Data Profiling Report Generation Advanced Analytics Supply Chain Management Demand Forecasting Inventory Optimization Industry Research Secondary Research Collaboration Communication Analytical Skills Data Scientist Random Forest
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