Analytics and Modeling Senior Analyst

Skill required: Reporting Advisory - Reporting Analytics
Designation: Analytics and Modeling Senior Analyst
Qualifications:Any Graduation
Years of Experience:5 to 8 years

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.
What would you do The Data Science Analyst supports the development and delivery of advanced analytics, machine learning, and AI-driven solutions that help solve complex workforce and business challenges. The role involves analyzing large and often unstructured datasets, building predictive and prescriptive models, and generating actionable insights that enable data-driven decision-making.
What are we looking for Key Skills Technical ExpertiseProficiency in Python and SQL for data extraction, transformation, analysis, and model development.Experience with data manipulation and analytical libraries such as Pandas, NumPy, Scikit-learn, and related tools.Experience working with BigQuery and cloud-based analytics platforms.Knowledge of Google Cloud Platform-GCP preferred.Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
Roles and Responsibilities: Key ResponsibilitiesPerform data mining, exploratory data analysis-EDA, and data preparation on large and complex datasets from multiple sources.Develop, validate, and deploy statistical, machine learning, and AI-driven models to address workforce and business challenges.Apply advanced analytics techniques to generate predictive and prescriptive insights that support strategic decision-making.Build and enhance analytics solutions using modern Data Science, Machine Learning, Generative AI, and Agentic AI methodologies.Utilize Python, SQL, and cloud-based technologies to extract, transform, analyze, and model data efficiently.Develop automated reporting, insight-generation solutions, and AI-powered analytical tools to improve business outcomes.Ensure data quality, model accuracy, and adherence to responsible AI and data governance principles.Stay current with emerging trends in Data Science, AI, machine learning, and workforce analytics.Work independently on routine assignments while receiving guidance on more complex projects and new initiatives.QualificationsMaster s degree in Data Science, Statistics, Economics, Econometrics, Computer Science, Business Analytics, Operations Research, or a related quantitative field.3+ years of experience in Data Science, Analytics, People Analytics, Workforce Analytics, or a related analytical role.Demonstrated experience in building analytical models and translating insights into business recommendations.Experience working with large, structured, and unstructured datasets.


Qualification
Any Graduation