
Senior Data Insights Analyst
5 days ago
We are seeking an experienced Product Analyst to join our team. In this role, you will be responsible for developing a deep understanding of our translation platform and related API.
Main Responsibilities:
- Develop a deep understanding of the translation platform and related api, mapping customer journeys and creating detailed personas to improve user experiences.
- Engage directly with customers at key touchpoints, gaining insights into their interactions with Enterprise Data and AI platforms.
- Build and foster an active user community, facilitating knowledge-sharing and enhancing the adoption of data and AI products.
- Partner with multi-functional teams to refine customer insights and journey mapping, adapting solutions to meet evolving business and operational needs across regions
Alignment with Business Goals:
- Work with business stakeholders to understand data needs and find opportunities to enable them on the platform.
GTM Strategy:
- Collaborate with Product Management to implement comprehensive GTM strategies for data and AI products.
- Align GTM messaging and product positioning with organizational needs, enabling effective adoption and broader applicability of solutions
- Support the launch of new products and features, working closely with multi-functional teams to ensure GTM plans are well-executed and drive product adoption.
Customer Support:
- Provide last-mile support and solutions on demand for both data, ensuring prompt resolution of customer challenges and delivering a seamless user experience.
- Assist in customer onboarding and training, ensuring users fully understand how to demonstrate the platform's data capabilities.
- Identify and develop brand ambassadors within the customer base to advocate for the product's unique benefits.
- Provide targeted support for unique business requirements, enabling seamless integration of data capabilities into broader operational frameworks
Data Analysis:
- Monitor and analyze product performance metrics using advanced analytics to gain insights into customer behavior and product usage.
- Work closely with engineering, product management, and other teams to ensure the successful execution of product goals, focusing on data, analytics, and AI-driven innovations.
- Use data and analytics to drive improvements and recommend strategies for optimizing product features and the overall customer experience.
- The insights and optimizations from product analytics will ensure alignment with overarching business goals and operational priorities, supporting scalable and impactful outcomes.
Qualifications:
- Master's degree and 7 to 10 years of Information Systems experience OR
- Bachelor's degree and 8 to 10 years of Information Systems experience OR
- Diploma and 10 to 12 years of Information Systems experience
- 5-7 years of experience in a product analyst role.
Required Skills:
- 5-7 years of experience in a product analyst role, especially with data and AI products, and a focus on GTM execution.
- Worked in Data platforms.
- Experience of working closely with data engineering.
- Experience in GTM strategy development and execution, with a track record of supporting product launches and ensuring product-market fit.
- Strong skills in Excel and hands-on experience with Agile methodologies (Scrum/SAFe).
- Excellent communication and social skills, with the ability to work collaboratively with cross-functional GTM, product, and engineering teams.
Preferred Qualifications:
- Have worked on translation workflows, and APIs.
- Familiarity with big data technologies, AI platforms, and cloud-based data solutions.
- Knows SQL.
- Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.
- Passion for technology and customer success, particularly in driving innovative AI and data solutions.
- Experience in services or consulting related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial.
Soft Skills:
- Excellent analytical and solving skills.
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to handle multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills.
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