Roles and responsibilities:
- Analyze Data and Build Reports: Analyze data and create reports that evaluate the performance and ROI of AI solutions, including generative AI, automation, and augmentation.
- Develop and Maintain Dashboards: Design and maintain dashboards to monitor the impact of AI on customer satisfaction, agent efficiency, and key operational metrics.
- Collaborate Cross-Functionally: Work collaboratively with technical teams, operations, product managers, and business stakeholders to ensure alignment and effective implementation of AI initiatives.
- Assist in Prompt Design and Optimization: Support the design and optimization of prompts for generative AI tools utilized by agents or customers, enhancing their effectiveness and usability.
- Present Insights to Leadership: Present insights and results to leadership teams in a clear, compelling, and story-driven format, facilitating informed decision-making.
- Contribute to Continuous Improvement: Actively contribute to the continuous improvement of AI use cases by identifying gaps, testing new ideas, and tracking outcomes to enhance performance.
- Support Integration of Knowledge Bases: Assist in the integration of knowledge bases and content that feed into AI models, such as Salesforce Knowledge and Experience Cloud, to improve AI functionality.
- Assess and Prioritize New AI Opportunities: Help evaluate and prioritize new AI opportunities by assessing feasibility, potential impact, and alignment with business goals.
- Analytical Skills: Strong analytical skills with proficiency in using tools such as Excel, Power BI, Tableau, or similar business intelligence platforms to derive insights and support decision-making.
- Familiarity with AI Tools: Understanding of generative AI tools and foundational knowledge of prompt engineering principles.
- Platform Exposure: Exposure to Salesforce Service Cloud, Experience Cloud, AWS, or similar platforms is a plus, enhancing the ability to integrate and leverage technology effectively.
- Knowledge Base Management: Experience working with or managing knowledge base content is a bonus, contributing to the optimization of information resources.
- Communication Skills: Excellent communication skills, with the ability to present findings and insights to both technical and non-technical audiences in a clear and engaging manner.
- Self-Starter: A self-starter with a continuous improvement mindset, demonstrating the ability to take initiative and drive projects forward in a cross-functional environment.
- Adaptability: Ability to thrive in a fast-paced, dynamic environment, adjusting to changing priorities while maintaining high-quality standards.
- Education: Bachelor’s degree in Business Administration, Data Science, Information Technology, or a related field. A Master’s degree is a plus.
- Experience: 3-5 years of relevant experience in business analysis, data analytics, or operations, preferably in a technology-driven or customer-centric organization.
- Certifications: Relevant certifications in data analytics, business analysis, AI/prompt engineering, or project management are advantageous.
Work Location : Mumbai / Bangalore
Joining time needed : 15 days
First Advantage Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about First Advantage and has not been reviewed or approved by First Advantage.
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Retirement Support — A retirement plan is consistently described as part of the core package, including a 401(k) with an employer match and match levels that can be competitive. An Employee Stock Purchase Plan is also referenced alongside retirement, adding another long-term savings vehicle in some regions.
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Leave & Time Off Breadth — Time off is positioned as a meaningful strength, with generous vacation/holiday coverage and policies that can be flexible depending on employee type. Flexible Time Off for salaried roles, accrual-based PTO for hourly roles, and Volunteer Time Off are all cited as available in the broader package.
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Healthcare Strength — Medical coverage appears anchored in a mainstream national network, with Aetna-administered options referenced and broad provider acceptance highlighted. Overall medical coverage is framed as fairly good to very good in quality, even if the exact plan design varies by state and year.
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