Data Analyst

Company Description IQlytics Solutions empowers enterprises to unlock growth through AI and advanced analytics. The company delivers AI-powered solutions across commercial, operations, supply chain, and finance functions to accelerate decision-making and optimize performance. Its offerings are designed to support sustainable business growth by turning complex data into actionable insights. IQlytics Solutions collaborates closely with clients to tailor analytics solutions to their specific business needs and challenges. Interested organizations can learn more about the company’s solutions by contacting info@iqlytics.in.
Role Description This full-time Data Analyst role at IQlytics Solutions is a hybrid position based in Noida, with the flexibility to work from home for part of the week. The Data Analyst will gather, clean, and validate data from various sources, build dashboards and reports, and perform exploratory and statistical analysis to generate insights. Daily responsibilities include developing and maintaining analytical models, supporting AI-driven solutions, and translating data findings into clear recommendations for business stakeholders. The role involves collaborating with cross-functional teams in commercial, operations, supply chain, and finance to understand requirements, monitor performance metrics, and contribute to data-driven decision-making.
Qualifications

• Candidates should possess strong Analytical Skills and proficiency in Data Analytics to interpret complex datasets and identify trends and patterns.
• Candidates should possess practical knowledge of Statistics and Data Modeling to design robust analyses, build predictive models, and validate results.
• Candidates should possess solid Communication skills to present insights clearly, prepare concise reports, and collaborate effectively with technical and non-technical stakeholders.
• Candidates should possess experience with data tools and technologies such as SQL, Excel, and at least one analytics or visualization platform (e.g., Python/R, Power BI, Tableau).
• Candidates should possess strong problem-solving abilities, attention to detail, and the capacity to work both independently and in a team-based, hybrid environment.
• A bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Engineering, Economics, or Computer Science is preferred; relevant certifications in analytics or AI are a plus.