AADC-Industry & Function-AI & Data-S&P-Analyst

Accenture in India

Pune Division, Maharashtra, India2h agovia LinkedIn

This job at a glance

Who can apply
Freshers
Must know
Data structures & algorithmsData analysisStakeholder managementETL
Work
On-site in Pune Division
Pay
Not stated by the employer.
Skill demand
Data analysis47%Stakeholder management27%of 15 similar fresher jobs posted in India this week
Listed
6 Nov 2026 · still open

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About the Role

Accenture Strategy & Consulting Team: Global Network - Data & AI Practice: CMT – Software & Platforms

About S&C - Global Network

Accenture Global Network - Data & AI practice helps clients grow their business in entirely new ways. Analytics enables clients to achieve high performance through insights from data, informing better decisions and strengthening customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities, from accessing and reporting on data to predictive modeling, to outperform the competition.

About the Team

The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.

What You Would Do In This Role

  • Development and testing of AI algorithms and techniques, custom-tailored to effectively address and solve specific, complex business problems.
  • Manage large databases proficiently, conducting exploratory data analytics to derive valuable insights for stakeholders.
  • Track down and thoroughly investigate previous information related to a problem, asking probing questions to identify root causes.
  • Employ a systematic approach to problem-solving, exploring known avenues and asking insightful questions to unravel the core issues.
  • Work collaboratively with both internal teams and external consultants/managers to achieve project objectives.
  • Develop and manage data pipelines to streamline the flow of information for enhanced efficiency.
  • Demonstrate adaptability and flexibility in responding to changing project requirements.
  • Proactively seek and embrace continuous learning opportunities to stay updated with industry trends and advancements.

Requirements & Tech Stack

  • Data & AI
  • SaaS
  • PaaS
  • AI algorithms
  • Exploratory data analytics
  • Data pipelines

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