Information Technology
Full-Time
VAYUZ Technologies
Overview
Role Expectations
Data Collection and Cleaning :
Education :
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.
- 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.
- 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 :
- 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.
- Ensure compliance with data privacy and security policies and practices.
- Maintain data integrity and assist with implementing best practices for data storage and access.
- Stay current with emerging data analysis techniques, tools, and industry trends.
- Recommend improvements to data collection, processing, and analysis procedures to enhance operational efficiency.
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.
- 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.
- 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).
- 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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