Associate IS Business Analyst

Overview

Partner with Operations stakeholders, Product Managers, Data Scientists, and Engineers to identify, define, and deliver Generative AI solutions that improve operational efficiency, decision-making, and user experiences across Operations functions.

What you'll do

• Partner with business stakeholders to understand processes, challenges, reporting needs, and business objectives.
• Gather, analyze, document, and validate business, functional, data, and reporting requirements.
• Facilitate stakeholder discussions, workshops, and requirements gathering sessions.
• Translate business needs into user stories, acceptance criteria, process flows, data requirements, and functional specifications.
• Collaborate with Product Owners and delivery teams to prioritize requirements and support backlog refinement.
• Identify opportunities for process improvement, automation, standardization, and efficiency gains.
• Ensure alignment between business expectations and delivered solutions.
• Support User Acceptance Testing, business validation, and defect triage.
• Design, develop, enhance, and maintain dashboards and reports using Tableau and/or Power BI.
• Partner with stakeholders to define KPIs, metrics, scorecards, calculations, and reporting requirements.
• Create intuitive visualizations that communicate business performance, trends, and operational insights.
• Develop executive dashboards, operational reports, and analytical solutions for different stakeholder groups.
• Perform data analysis to identify trends, risks, opportunities, and actionable business insights.
• Ensure dashboard accuracy through data validation, reconciliation, and quality checks.
• Publish, maintain, monitor, and support dashboards in enterprise environments.
• Optimize dashboard performance, usability, accessibility, and adoption.
• Work with data engineers, developers, architects, and technical teams to understand source systems, data structures, and integration needs.
• Support data mapping, validation, reconciliation, and root-cause analysis across multiple data sources.
• Assist in defining business rules, calculations, transformations, and reporting datasets.
• Troubleshoot reporting, dashboard, and data-related issues and coordinate resolution with technical teams.
• Ensure analytics solutions meet business, quality, security, and compliance expectations.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives.
• Support functional testing, data validation, defect management, release readiness, and post-release verification.
• Create and maintain requirements, dashboard documentation, data definitions, and user guides.
• Deliver dashboard demonstrations and solution walkthroughs to business and technical stakeholders.
• Stay current with business intelligence, analytics, visualization, and AI-enabled reporting capabilities.

What you'll need

• Bachelor's degree in information systems, Computer Science, Engineering, Business Administration, Data Analytics, or related fields.
• 3-5 years of experience in Business Analysis, Business Intelligence, Reporting and Analytics, Data Analysis, or a related role.
• Hands-on experience developing dashboards and reports using Tableau and/or Power BI.
• Knowledge of Power BI DAX, Power Query, Tableau calculations, Level of Detail expressions, and dashboard optimization techniques.
• Experience building KPI dashboards, executive scorecards, operational reports, and analytical visualizations.
• Strong SQL skills for data extraction, analysis, validation, and reporting.
• Expected to support RunOps for multiple Applications with knowledge on SaaS and COTS applications.
• Experience gathering, documenting, validating, and managing business and reporting requirements.
• Ability to translate business needs into effective data, dashboard, and analytics solutions.
• Experience creating user stories, acceptance criteria, process flows, data requirements, and functional specifications.
• Strong understanding of dashboard design, data visualization, usability, and data-storytelling principles.
• Experience with relational databases, large datasets, data modeling concepts, data quality, and reconciliation.
• Experience publishing, maintaining, and supporting dashboards in enterprise environments.
• Experience supporting UAT, defect management, business validation, and release activities.
• Experience working in Agile or Scrum delivery teams and using Jira, Confluence, Azure DevOps, or similar tools.
• Strong stakeholder management, analytical, problem-solving, communication, and presentation skills.
• Ability to work effectively with global, virtual, and cross-functional teams.

Nice to have

• Experience in life sciences, biotechnology, pharmaceutical, healthcare, EHSS, manufacturing, or another regulated industry.
• Experience supporting Environmental, Health and Safety, Sustainability, Quality, Compliance, Operations, or Corporate functions.
• Experience with cloud-based data and analytics platforms such as Azure, AWS, Databricks, or Snowflake.
• Understanding of data warehousing, ETL/ELT processes, APIs, integrations, and enterprise reporting architectures.
• Familiarity with Python or another analytics-related programming language.
• Exposure to AI-assisted analytics, reporting, or business productivity tools.
• Experience supporting enterprise-scale reporting solutions and globally distributed business teams.
• Experience with Generative AI products and solutions.
• Understanding of LLMs, copilots, chatbots, and AI assistants.
• Prompt engineering concepts.

Details

• Location: Hyderabad, India.
• Employment type: Full time.