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Informazioni generali

Località: Hyderabad, Telangana, India 
ID del ruolo
213698
Tipo di dipendente
Regular Employee
Studio/Reparto
People Experience & Workplaces
Modalità di lavoro flessibile
Hybrid

Description & Requirements

Electronic Arts crea esperienze di intrattenimento di livello superiore che ispirano giocatori e fan in tutto il mondo. Qui, tutti fanno parte della storia. Parte di una comunità che si connette in tutto il mondo. Un luogo dove la creatività prospera, vengono stimolate nuove prospettive e le idee contano. Una squadra in cui tutti possono giocare.

 

Associate Specialist - People Data & Automation

People Services Data & Automation


Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

 

Associate Specialist – People Data & Automation, People Services 

Location: Hyderabad, India — Hybrid work model

Reporting to: 

 

Role Summary

We’re looking for a technically curious and hands-on Associate Specialist – People Data & Automation to join EA’s People Services Data & Automation team. This role sits at the intersection of HR data, engineering, workflow automation, and AI-powered tooling — helping the People Experience (PE) team move faster and make better decisions through smart, reliable data pipelines and automation solutions.

 

You’ll work closely with experienced leaders and analysts to build and maintain Automation scripts, SQL data pipelines, and Power BI reporting — all in support of workforce analytics, compliance reporting, and operational efficiency across EA’s global employee base.

 

This is an excellent entry point for someone passionate about data engineering who wants to grow their skills in a real-world enterprise environment with meaningful HR and people data impact.

 

What You’ll Do

AI & Intelligent Tooling

  • Support the development of our AI-powered Digital Assistant by participating in requirements gathering sessions with PE stakeholders — documenting use cases, capturing pain points, and translating business needs into clear technical specifications
  • Collaborate with IT and vendor teams to support the build, integration, and testing of the Digital Assistant — acting as a bridge between People Experience needs and technical delivery
  • Develop a working understanding of Large Language Models (LLMs) — including how they process prompts, handle context, and can be applied to People Experience use cases such as policy Q&A, onboarding guidance, and employee self-service
  • Support UAT and feedback cycles for the Digital Assistant — gathering input from PE users, logging issues, and working with the team to iterate on response quality and coverage
  • Stay current on the evolving AI/automation vendor landscape and contribute to internal assessments of tools that could enhance PE service delivery

 

Data Engineering & Reporting

  • Support Power BI dashboard development, including DAX measures, data model maintenance, and refresh scheduling
  • Assist in building and maintaining compliance reports (e.g., termination threshold tracking, workforce analytics)
  • Help automate PowerPoint and Excel-based reporting pipelines 
  • Integrate data from multiple systems (Workday, ServiceNow, Avature, Excel, SharePoint) into unified reporting layers

 

Automation & Pipeline Development

  • Build and maintain Python scripts that automate repetitive people data tasks (reporting, data extraction, file generation)
  • Write and optimize SQL queries to extract, join, and aggregate workforce data from systems including Workday and ServiceNow
  • Contribute to the PE Automation Hub — a GUI that schedules and manages automation scripts across PE domains
  • Support scheduling, error handling, and logging to ensure pipeline reliability

 

 

 

 

 

 

 

Collaboration & Support

  • Partner with analysts, Shared Services colleagues, People Partners, Business Partners, and senior leaders to translate business requirements into technical solutions
  • Document automation scripts, data pipelines, and workflows to ensure maintainability and knowledge sharing
  • Participate in code reviews, testing, and QA for automation tools
  • Support the team’s delivery cycle — from scoping and sprint planning to deployment and monitoring

About You

You are:

  • Comfortable working with HR or enterprise system data (Workday, ServiceNow, or equivalent)
  • Genuinely curious about how data and automation can eliminate manual work
  • Detail-oriented with a quality-first mindset when working with sensitive people data
  • A clear communicator who can explain technical solutions to non-technical HR partners
  • Familiar with Power BI or Tableau report/dashboard development, DAX fundamentals, and data model basics
  • Skilled in SQL — able to write intermediate-to-advanced queries (window functions, joins, aggregations)
  • Proficient in Python — comfortable writing production-quality scripts for data manipulation, automation, and file generation (pandas, openpyxl, subprocess, etc.)
  • Knowledgeable about data pipeline concepts — ETL/ELT, scheduling, error handling, and logging
  • Motivated to grow — this role will expose you to a wide modern data stack

 

Nice to Have

  • Experience gathering and translating business requirements into technical solutions — able to break down manual or ad hoc processes and reimagine them through an AI/automation lens
  • Experience in HR, People Data, or workforce data environment
  • Familiarity with identifying automation opportunities: mapping repetitive workflows, defining inputs/outputs, and scoping build effort in collaboration with non-technical stakeholders
  • Alteryx — experience building or maintaining workflows for data transformation and scheduling
  • Experience with browser automation tools (Playwright, Selenium) or GUI automation
  • Familiarity with tkinter or other Python GUI frameworks
  • Exposure to LLM APIs (OpenAI, Anthropic Claude) or AI-assisted data workflows
  • Basic understanding of REST APIs and JSON data handling
  • 1-3 years of experience
  • B.Tech or B.Sc. in Computer Science or IT related fields

 

 

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

 

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.



Su Electronic Arts
Siamo orgogliosi di avere un ampio catalogo di giochi ed esperienze, sedi in tutto il mondo e opportunità in tutta EA. Diamo valore a adattabilità, resilienza, creatività e curiosità. Dalla leadership che esalta il tuo potenziale alla creazione di spazi per l'apprendimento e la sperimentazione, ti incoraggiamo a fare grandi lavori e a perseguire le opportunità di crescita.

Adottiamo un approccio olistico per i nostri programmi di benefit, enfatizzando il benessere fisico, emotivo, finanziario, lavorativo e collettivo a sostegno di una vita equilibrata. I nostri pacchetti sono pensati per soddisfare le esigenze locali e possono includere copertura sanitaria, assistenza per la salute mentale, risparmi per la pensione, permessi retribuiti, congedi familiari, giochi gratuiti e altro ancora. Creiamo ambienti in cui i nostri team possono sempre dare il meglio in ciò che fanno.

Electronic Arts è un datore di lavoro che rispetta le pari opportunità. Tutte le decisioni di impiego sono prese senza tenere conto di razza, colore, origine nazionale, discendenza, sesso, genere, identità o espressione di genere, orientamento sessuale, età, informazioni genetiche, religione, disabilità, condizione medica, gravidanza, stato civile, stato familiare, stato di veterano, o qualsiasi altra caratteristica protetta dalla legge. In conformità con le leggi vigenti, prendiamo in considerazione anche i candidati qualificati con precedenti penali. EA rende inoltre disponibili strutture lavorative per persone qualificate con disabilità, come richiesto dalle leggi vigenti.