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EVERSANA

Commercial services for pharmaceutical lifecycle management

Product Support Analyst - Multiple Teams

Customer SupportPosted on Nov 9
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of relevant experience in product support, application support, business analysis, or a similar client-facing support role.
  • Experience in client-facing roles directly supporting international clients, preferably across U.S. and/or European geographies.
  • Strong analytical and problem-solving skills for issue analysis, data interpretation, validation, and troubleshooting.
  • Experience with UAT, pre-production, and production environments, including smoke and sanity testing.
  • Experience creating or executing test scenarios and test scripts and validating application changes.
  • Strong understanding of the software development life cycle and software release processes.
  • Proficiency with AI, generative AI, and large language model tools for research, analysis, documentation, testing, and productivity improvement, including validating outputs and managing associated risks.
  • Ability to demonstrate accuracy, judgment, risk management, and value creation when using AI tools.
  • Strong proficiency in Microsoft Excel for data analysis, interpretation, and validation, including VLOOKUP and XLOOKUP.
  • Experience with ticketing and issue-management tools such as Jira, ServiceNow, or similar platforms.
  • Strong stakeholder management, coordination, and follow-up skills.
  • Ability to work in a fast-paced, SLA-driven environment and drive issues through to resolution.
  • Ability to work flexible hours, including European and/or U.S. business hours.
  • Ability to quickly learn new products, technologies, processes, and AI-enabled tools.
  • Ability to maintain high customer satisfaction through effective communication and service delivery.

Responsibilities

  • Provide functional Level 2 support for the product to global customers through different channels.
  • Perform the initial analysis of issues or changes reported by clients and coordinate with internal cross-functional teams to drive resolution.
  • Test bug fixes or changes in UAT and pre-production environments before production deployment and/or client sign-off.
  • Perform smoke testing and sanity checks in production environments.
  • Follow up with cross-functional teams to ensure tasks and bug fixes are completed within predefined SLAs.
  • Coordinate communication between internal teams and clients to ensure timely resolution and closure of issues.
  • Interact directly with global clients through calls, emails, chats, and other communication channels.
  • Ensure adherence to SLAs and timely closure of client requests, incidents, changes, and ad hoc requests.
  • Perform data loads through ETL procedures and validate data accuracy and completeness.
  • Analyze data, identify issues or trends, and support troubleshooting and resolution activities.
  • Develop, document, and continuously improve business and support processes.
  • Maintain quality across deliverables and client interactions.
  • Identify opportunities to improve support processes, efficiency, quality, and customer experience.
  • Use AI and LLM tools for research, self-learning, issue investigation, root cause analysis, and understanding functional or business requirements.
  • Use AI tools to create, edit, review, and improve support documentation, incident summaries, root cause analysis documents, test scenarios, test scripts, test data, process documentation, status reports, client communications, and project assessments.
  • Apply prompting techniques to obtain relevant outputs and independently validate the accuracy and reliability of AI-generated information.
  • Use judgment to determine when AI-generated content can be trusted, edited, escalated, or rejected.
  • Validate AI-generated outputs for accuracy, completeness, consistency, and alignment with business and organizational standards.
  • Manage AI-use risks, including data privacy, confidentiality, sensitive information, inaccurate outputs, and inappropriate use of customer or company data.
  • Identify opportunities to use AI to automate or accelerate repetitive support, testing, documentation, analysis, and reporting activities.
  • Contribute to the development or use of AI agents, agent-based workflows, or automation that improves team productivity, implementation timelines, quality, and efficiency.

Desired Qualifications

  • Experience with chat support is preferred but not mandatory.
  • A Bachelor of Engineering, Bachelor of Technology, Master of Engineering, Master of Technology, Bachelor of Computer Applications, Master of Computer Applications, Bachelor of Computer Science, Master of Computer Science, or equivalent relevant experience is preferred.
  • Experience using AI or generative AI tools to improve support operations, testing, documentation, analysis, or process efficiency.
  • Exposure to AI agents, agent-based workflows, AI automation, or building simple AI-enabled workflows.
  • Experience identifying and implementing process improvements or automation initiatives.

About the Company

EVERSANA

Commercial services for pharmaceutical lifecycle management

EVERSANA provides integrated commercial services to pharmaceutical and biotech companies across the product lifecycle. It helps with drug pricing, market access, reimbursement, patient adherence, and product delivery through services such as consulting, market access strategies, patient services, and field deployment, delivered via a global network of 30+ locations. It differentiates itself with end-to-end lifecycle support, a broad global footprint, and recognized industry credentials, enabling customized, scalable solutions for both large pharma and smaller biotech clients. Its goal is to help clients bring products to market, optimize pricing and access, improve adherence, and ensure efficient delivery to improve patient outcomes and commercial performance.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2018

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