Business Analyst
OYO · Gurugram, Haryana, India
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OYO · Gurugram, Haryana, India
About PRISM PRISM is a global hospitality technology platform that helps entrepreneurs and small businesses in the hotel and home space scale and streamline their operations. With a comprehensive suite of tech-driven solutions, PRISM simplifies bookings, enhances customer experience, and drives revenue growth. Operating in over 35 countries and managing more than 1.57 lakh properties, PRISM aims to make quality accommodation affordable and accessible worldwide. What makes you a true Lightkeepers: Key Responsibilities: Make PRISM a data-driven organization Data Handling and Governance • Consolidate and manage large datasets from different sources with a focus on completeness and accuracy • Set up and maintain data validation processes to ensure high data integrity • Define and implement best practices for data management across teams Analysis & Reporting • Use tools like SQL, Excel, Python and Google Sheets to extract and analyze data • Translate complex data into understandable, actionable insights for internal teams • Track business KPIs and help develop metrics for decision-making Dashboarding and Visualization • Create interactive dashboards using Excel, Looker Studio or other BI tools • Tailor dashboard solutions based on team-specific needs • Continuously update dashboards with the latest performance trends and insights Collaboration and Process Efficiency • Work with cross-functional teams to improve data workflows and reporting mechanisms • Identify process gaps and recommend improvements to increase data accuracy and efficiency • Serve as a data partner to business stakeholders, helping solve key analytical challenges Required Skills: • Bachelors degree in Technology, Engineering or a related discipline • 3–4 years of practical experience in analytics, reporting or business analysis roles • Strong proficiency in Excel, SQL,Python and data visualization tools such as Looker Studio or Power BI • Hands-on experience with Python for data cleaning, transformation, and predictive analytics • Familiarity with Shell scripting to automate routine data workflows and processing tasks • Solid understanding of data infrastructure, pipelines, and ETL processes • Ability to work with RESTful APIs for data extraction and integration • Structured problem-solving mindset with a foundation in first-principles thinking • Capable of handling multiple priorities in a fast-moving environment • Effective communicator with the ability to present data-driven insights clearly to stakeholders • Prior exposure to the hospitality or travel-tech sector is a plus Preferred/ Good to Have: • Familiarity with cloud data tools or platforms like GCP, AWS, Hive, or Presto • Understanding of statistical or predictive modeling • Background in transforming raw data into business-friendly reports or dashboards