ANALYTICS AND CONSULTATION SPECIALIST -PRODUCT DEVELOPMENT AND CLIENT SOLUTIONS
Company Description ViridiaAI is a full-stack AI and business solutions partner focused on powering business evolution through intelligent, customized technologies. The company designs AI Bots, AI CRM systems, AI-based business solutions, and end-to-end AI projects that automate operations, enhance customer experiences, and support faster decision-making. ViridiaAI also delivers advanced Big Data and data solutions, including AI assistance for shipping and logistics to optimize workflows and efficiency. In addition, the team builds modern, high-performance websites and supports hiring and brand marketing so clients can scale effectively. As an IT consulting firm, ViridiaAI helps organizations navigate rapidly changing technology landscapes with cutting-edge expertise.
Role Description The Analytics and Consultation Specialist – Product Development and Client Solutions is a full-time remote role responsible for supporting data-driven product strategy and client-facing solutions. In this position, the specialist will analyze complex business and product data, generate insights, and translate findings into actionable recommendations for AI products and services. The role includes collaborating with product managers, engineers, and client success teams to define analytics requirements, build dashboards, and develop performance metrics. The specialist will participate in client consultations to understand business needs, present analytical reports, and propose AI-driven solutions that improve efficiency and outcomes. Daily tasks also involve preparing clear documentation, maintaining data quality standards, and continuously identifying opportunities to optimize ViridiaAI’s offerings through evidence-based analysis.
Qualifications
- Strong analytical skills, including the ability to interpret complex datasets and derive actionable insights.
- Proficiency in business analytics and data analytics to support product development and client-focused solutions.
- Experience working with analytics frameworks and tools to monitor performance, trends, and key metrics.
- Solid foundation in statistics, including hypothesis testing, data modeling, and quantitative analysis.
- Familiarity with BI tools (e.g., Tableau, Power BI), spreadsheets, or basic SQL for data querying and visualization.
- Ability to communicate technical findings clearly to non-technical stakeholders, both in writing and verbally.
- Experience collaborating with cross-functional teams in technology, product, or consulting environments.
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or related discipline; equivalent practical experience considered.
- Background in AI, machine learning concepts, or digital product development is an advantage.
- Self-directed, organized, and comfortable working remotely across multiple projects and priorities.
- Experience of 3+ as data analyst is must