VAYUZ Technologies - Data Analyst - Visualization & Reporting

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.