Data Analyst

Accenture India Private Limited

Pune

Not disclosed

Work from Office

Full Time

Min. 2 years

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.

About Our Company | Accenture

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