Royal Brothers - Data Analyst - Power BI/Tableau (2-3 yrs)

Key Responsibilities :

- Manage and maintain the company's master data set, ensuring data accuracy, consistency, and completeness.

- Conduct in-depth data analysis to identify trends, patterns, and insights relevant to business operations.

- Develop and maintain key performance indicators (KPIs) and dashboards to track business performance.

- Analyze data to identify potential risks and opportunities for improvement.

- Develop and implement data quality checks and processes to ensure data integrity.

- Develop and deliver regular reports and presentations to stakeholders, summarizing key findings and insights.

- Create interactive dashboards and visualizations using tools like Power BI, Tableau, or other data visualization platforms.

- Communicate complex data findings effectively to both technical and non-technical audiences.

- Identify and troubleshoot data quality issues and anomalies.

- Work with cross-functional teams to resolve data discrepancies and improve data collection processes.

- Work independently and as part of a team to achieve project goals.

- Collaborate with stakeholders across different departments (e.g, operations, business development, marketing) to understand their data needs.

- Mentor junior team members and provide guidance on data analysis best practices.

- Build and maintain strong relationships with stakeholders across the organization.

- Effectively communicate data findings and recommendations to stakeholders at all levels.

- Proactively identify and address potential risks and challenges.

Qualifications :

- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.

- Proven experience as a Data Analyst with a strong understanding of data analysis methodologies and best practices.

- Proficiency in MS Office Suite (Excel, Word, PowerPoint).

- Expertise in data visualization tools such as Power BI, Tableau, or similar.

- Strong SQL and data querying skills.

- Experience with data mining techniques and predictive modeling (preferred).

- Excellent analytical and problem-solving skills.

- Strong communication and interpersonal skills, with the ability to effectively communicate complex data findings to both technical and non-technical audiences.

- Ability to work independently and as part of a team.

- Strong organizational and time-management skills with the ability to prioritize tasks and meet deadlines.

- Detail-oriented with a high degree of accuracy.

- Ability to handle pressure and work effectively in a fast-paced environment