Data Analyst

Company Description AgenticOrbitX helps businesses automate the majority of their workflows with AI-powered solutions, enabling them to save time, reduce costs, and scale efficiently. The company focuses on integrating automation into everyday operations so organizations can redirect their efforts toward growth, innovation, and meaningful impact. AgenticOrbitX delivers workflow automation and AI-driven business solutions designed to make companies smarter, faster, and future-ready. As a partner in automation excellence, the organization supports clients in transforming repetitive processes into streamlined, intelligent systems that enhance performance.
Role Description As a Data Analyst at AgenticOrbitX, you will work closely with cross-functional teams to analyze business and operational data, identify trends, and generate insights that inform AI-driven automation solutions. Your day-to-day responsibilities will include cleaning and organizing data sets, building dashboards, performing statistical analyses, and supporting data modeling activities to improve decision-making and workflow optimization. You will collaborate with stakeholders to translate business questions into analytical approaches and communicate findings in clear, actionable formats. This is a full-time, hybrid role based in the Mumbai Metropolitan Region, with a mix of on-site collaboration and some work-from-home flexibility.
Qualifications
Strong analytical skills and experience in data analytics to interpret complex datasets and derive actionable insights.
Solid understanding of statistics, including hypothesis testing, regression, and basic probability concepts.
Proficiency in data modeling, including designing data structures and building models that support reporting and automation use cases.
Effective communication skills to present data findings clearly to technical and non-technical stakeholders.
Experience with data analysis tools (e.g., SQL, Excel, Python, R) and business intelligence platforms (e.g., Power BI, Tableau, Looker).
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline.
Ability to work in a hybrid environment, manage time across on-site and remote work, and collaborate within cross-functional teams.
Familiarity with AI, machine learning concepts, or automation platforms is a plus, along with experience in a fast-paced, technology-focused environment.

Work arrangement
No