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Data Analyst

Data Analyst

VAYUZ TechnologiesDelhi, India, India
21 days ago
Job description

Role Expectations :

Data Collection and Cleaning :

  • Collect, organize, and clean large datasets from various sources (internal databases, external APIs, spreadsheets, etc.).
  • Ensure data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats.

Data Analysis :

  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Conduct statistical analysis to support decision-making and uncover insights.
  • Use analytical methods to identify opportunities for process improvements, cost reductions, and efficiency enhancements.
  • Reporting and Visualization :

  • Create and maintain clear, actionable, and accurate reports and dashboards for both technical and non-technical stakeholders.
  • Design data visualizations (charts, graphs, and tables) that communicate findings effectively to decision-makers.
  • Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc
  • Experience in generating the Descriptive , Predictive & prescriptive Insights with Gen AI using MS Copilot in PowerBI.
  • Experience in Prompt Engineering & RAG Architectures
  • Prepare reports for upper management and other departments, presenting key findings and recommendations.
  • Collaboration :

  • Work closely with cross-functional teams (marketing, finance, operations, etc.) to understand their data needs and provide actionable insights.
  • Collaborate with IT and database administrators to ensure data is accessible and well-structured.
  • Provide support and guidance to other teams regarding data-related questions or issues.
  • Data Integrity and Security :

  • Ensure compliance with data privacy and security policies and practices.
  • Maintain data integrity and assist with implementing best practices for data storage and access.
  • Continuous Improvement :

  • Stay current with emerging data analysis techniques, tools, and industry trends.
  • Recommend improvements to data collection, processing, and analysis procedures to enhance operational efficiency.
  • Qualifications : Education :

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • A Master's degree or relevant certifications (e.g., in data analysis, business intelligence) is a plus.
  • Experience :

  • Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Strong knowledge of SQL and experience with relational databases.
  • Familiarity with data manipulation and analysis tools (e.g., Python, R, Excel, SPSS).
  • Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Technical Skills :

  • Proficiency in SQL and data query languages.
  • Knowledge of statistical analysis and methodologies.
  • Experience with data visualization and reporting tools.
  • Knowledge of data cleaning and transformation techniques.
  • Familiarity with machine learning and AI concepts is an advantage (for more advanced roles).
  • Soft Skills :

  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail and ability to identify trends in complex data sets.
  • Good communication skills to present data insights clearly to both technical and non-technical audiences.
  • Ability to work independently and as part of a team.
  • Strong time management and organizational skills, with the ability to prioritize tasks effectively.
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