Data Analyst

2 weeks ago


GurgaonGurugram, IN Mobile Programming LLC Full time

Job Description :

  • Collect, clean, and preprocess data from various sources to ensure accuracy and reliability.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Develop and maintain data pipelines and automate data collection processes where applicable.
  • Utilize statistical techniques to analyze large datasets and derive meaningful insights.
  • Create visualizations and dashboards to effectively communicate findings to stakeholders.
  • Collaborate with business units to understand requirements and translate them into actionable analytical tasks.
  • Identify opportunities for process optimization and efficiency improvements through data analysis.
  • Assist in the development and implementation of data-driven strategies to support organizational goals.
  • Stay up-to-date with industry trends and best practices in data analysis and visualization.
  • Support ad-hoc analysis and reporting requests from internal teams as needed.
Requirements :
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Advanced degree preferred.
  • Proven experience as a Data Analyst or related role, with a strong background in data manipulation and analysis.
  • Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL). Advanced SQL skills required.
  • Strong programming skills in Python for data analysis and manipulation.
  • Experience with Object-Oriented Programming (OOP) concepts.
  • Familiarity with version control systems such as Git.
  • Experience with Extract, Transform, Load (ETL) processes and tools.
  • Knowledge of DBT (Data Build Tool) for managing data transformation pipelines is a plus.
  • Solid understanding of statistical concepts and techniques (e.g., hypothesis testing, regression analysis).
  • Excellent communication skills with the ability to present complex findings in a clear and concise manner.
  • Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities simultaneously.
  • Attention to detail and a passion for accuracy in data analysis and interpretation.

(ref:hirist.tech)

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