We are looking for an experienced Data Analyst with at least 6 years of professional expertise in dashboarding, data visualization, and analytics. The ideal candidate will be highly skilled in tools like Power BI, Tableau, SQL, and Excel and have hands-on experience in ETL processes. You will play a key role in transforming raw data into actionable insights and building compelling dashboards to support business decision-making.
Job Description:
Key Responsibilities:
Dashboard Development:
Design, develop, and maintain interactive and visually appealing dashboards using Power BI and Tableau .
Collaborate with stakeholders to gather requirements and ensure dashboards meet business needs.
Data Analytics Visualization:
Analyze large datasets to identify trends, patterns, and insights.
Create meaningful data visualizations and reports that communicate insights effectively to business users.
ETL and Data Management:
Perform data extraction, transformation, and loading (ETL) to consolidate and structure data for analysis.
Ensure data accuracy and integrity through validation and regular audits.
Reporting:
Develop custom reports using SQL and Excel to address specific business questions.
Automate recurring reports to improve efficiency and accuracy.
Collaboration and Communication:
Work closely with cross-functional teams, including business units, IT, and data engineers, to align data solutions with business objectives.
Present findings and insights to stakeholders in a clear and concise manner.
Continuous Improvement:
Identify opportunities for process automation and optimization.
Stay up to date with the latest tools, technologies, and best practices in data analytics and visualization.
Required Skills and Qualifications:
Experience: Minimum 6 years of experience in data analytics , dashboarding, and reporting.
Tools: Expertise in Power BI , Tableau , SQL , and Excel .
ETL Knowledge: Strong understanding of ETL processes and tools.
Analytical Skills: Ability to analyze complex data and provide actionable insights.
Data Modeling: Knowledge of data modeling, database design, and data warehousing concepts.
Problem-Solving: Strong problem-solving skills and attention to detail.
Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical audiences.
Preferred Qualifications:
Experience in Python or R for data analysis.
Knowledge of cloud-based data platforms (e.g., AWS, Azure, GCP).