Winorbit Technology

Location: Noida, India (Onsite Role)

Key Responsibilities:

  • Collaborate with cross-functional teams to identify data requirements and objectives for various projects and initiatives.
  • Collect, clean, and preprocess data from multiple sources to ensure data accuracy, consistency, and reliability.
  • Analyze complex datasets to extract meaningful insights, trends, and patterns, and present findings through reports, dashboards, and visualizations.
  • Develop and implement data models, algorithms, and statistical techniques to address business challenges and opportunities effectively.
  • Interpret and communicate analysis results to stakeholders, providing actionable recommendations and insights to support decision-making processes.
  • Continuously monitor data quality and performance metrics, identifying opportunities for improvement and optimization.


  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field; advanced degree preferred.
  • Proven experience of 1+ years as a Data Analyst or in a similar role, with a strong track record of data analysis and interpretation.
  • Proficiency in SQL, Python, R, or other programming languages used for data manipulation and analysis.
  • Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms to create compelling visualizations and reports.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into actionable insights.
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively.
  • Detail-oriented mindset with a focus on data accuracy, consistency, and integrity.

Why Join Us:

  • Competitive salary and benefits package.
  • Opportunity to work in a dynamic and collaborative environment, where your contributions directly impact business decisions and outcomes.
  • Access to cutting-edge technologies and tools to support your data analysis efforts.
  • Professional development and growth opportunities to expand your skills and advance your career in the rapidly evolving field of data analytics.

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