Senior Data Analyst (Immediate Joiner)

As a Senior Data Analyst at Faptic Technology, your primary responsibilities include developing and enhancing Power BI dashboards, designing and deploying data pipelines with Azure Data Factory, and collaborating with stakeholders to provide impactful visualizations. You'll also manage data migration from legacy systems, perform ETL tasks, and ensure high data quality for advanced reporting needs.

To be successful as a Senior Data Analyst at Faptic Technology, you should hold a university degree in Computer Science, Engineering, or a related field, and possess at least 5 years of experience with Power BI and SQL databases. Familiarity with ETL design principles, Azure Data Factory, REST APIs, and data warehousing concepts will also be beneficial.

Faptic Technology is committed to continuous learning and personal improvement for its employees. As a Senior Data Analyst, you will benefit from 8 hours per month dedicated to training on market trends and client needs, enhancing your skills and knowledge base to stay ahead in your field.

In the role of Senior Data Analyst at Faptic Technology, proficiency in Power BI, SQL for data querying, Azure Data Factory for data integration, and familiarity with REST APIs is crucial. Additionally, understanding data visualization tools and principles will enhance your ability to deliver relevant and insightful reports.

Faptic Technology offers a competitive salary package for Senior Data Analysts along with numerous benefits, including private medical insurance, paid lunch twice a month, annual leave that increases with tenure, additional sick leave, a day off for your birthday, and a fun budget for team events!

In your response, focus on the specific business needs, your approach to gathering requirements, the design process, and how the dashboard impacted decision-making. Highlight any challenges you faced and how you overcame them, demonstrating your problem-solving skills.

Explain that data cleaning involves identifying and correcting errors in the data set, while data normalization focuses on organizing data to reduce redundancy and improve data integrity. Give examples from your experience to illustrate your point.

Outline your method for prioritization, such as assessing deadlines, business impacts, and complications. Mention tools or techniques you use, like project management software or task lists, to efficiently manage workloads and communicate with stakeholders.

Share specific examples of projects where you utilized Azure Data Factory, detailing how it improved data extraction, transformation, and loading processes. Discuss any challenges you encountered and how you addressed them.

Discuss the ETL process—Extraction, Transformation, and Loading—emphasizing its role in preparing data for analysis. Explain its importance in ensuring data quality and integrity, which directly influences the reliability of insights drawn from analytics.

Explain your approach to understanding the executives' priorities and communication styles. Emphasize how you customize reports based on key metrics they care about, ensuring the visualization is clear and actionable.

Talk about simplifying data presentations using visual aids, analogies, and narratives, focusing on the insights rather than the technical details. Highlight your ability to tailor your communication style based on the audience's understanding.

Discuss how SQL is vital for querying databases and performing data transformations to prepare data for analysis. Share examples where your SQL skills have led to the insights that drove critical business decisions.

Mention your commitment to continuous learning through online courses, webinars, forums, and industry publications. Share specific resources or platforms you utilize to stay informed about trends and advancements in data analytics.

Share a specific case where your analysis led to actionable insights. Explain the analysis process, the decision made based on your findings, and the resulting impact on the business, showcasing your contribution to the organization.