Senior Data Analyst

To apply for the Senior Data Analyst position at Faptic Technology, candidates should hold a university degree in Computer Science, Engineering, or a similar discipline. Additionally, having at least 5 years of experience in Power BI and SQL databases is essential. Knowledge of ETL design principles and Azure Data Factory will significantly enhance your application.

As a Senior Data Analyst at Faptic Technology, your key responsibilities will include developing and enhancing Power BI dashboards, designing and maintaining data pipelines using Azure Data Factory, collaborating with stakeholders to understand business needs, and ensuring data quality through various ETL tasks. Your role is critical in delivering actionable insights to our business leaders.

Faptic Technology is committed to the continuous personal improvement of its employees. As a Senior Data Analyst, you will receive 8 hours of training monthly during work hours, focused on market trends and client needs, ensuring you stay at the forefront of industry developments.

Senior Data Analysts at Faptic Technology utilize a variety of tools and technologies, including Power BI for reporting, Azure Data Factory for data pipeline management, SQL for data querying, and Azure DevOps for version control of reports and processes. Familiarity with REST APIs will also be beneficial.

While the Senior Data Analyst position does not specify a location, Faptic Technology embraces a flexible work environment. Candidates are encouraged to discuss their work preferences during the application process to find the best fit for both parties.

At Faptic Technology, the team culture is collaborative and supportive. We believe in building outstanding technical solutions while fostering an awesome workplace environment. As a Senior Data Analyst, you'll be part of a team that values customer obsession, continuous learning, and fun team events.

Faptic Technology provides numerous growth opportunities for Senior Data Analysts, including hands-on project involvement, access to training, and the chance to learn from seasoned experts in the field. We believe in promoting talent from within and encouraging team members to take on more responsibilities as they grow.

When approaching Power BI dashboard development, I begin by consulting with stakeholders to understand their needs and the key metrics they want to visualize. I then focus on assembling relevant data and designing a layout that ensures clarity and impactful presentation. After developing the dashboard, I seek feedback to ensure it meets expectations.

Data quality is crucial for the integrity and accuracy of insights produced. As a Senior Data Analyst, I prioritize data cleaning and normalization to ensure that the data is reliable. Quality data enables informed decision-making and ultimately drives better business outcomes.

My experience with Azure Data Factory involves designing and deploying data pipelines to support data integration and transformation processes. I have used it to streamline data flows from various sources, enhancing efficiency and reliability in delivering data for analysis.

My experience with SQL includes writing complex queries to extract, filter, and transform data for analysis. I use SQL to manipulate large datasets, perform aggregations, and prepare data for reporting, ensuring that I meet the analytical needs of stakeholders.

To manage tight deadlines while maintaining quality, I prioritize workload effectively through meticulous planning and task segmentation. I focus on high-impact areas first and utilize automation tools to expedite repetitive tasks. Regular check-ins with stakeholders also help align expectations and ensure we meet delivery timelines.

In a previous project, I tackled complex sales performance data by transforming it into a clear Power BI dashboard. I segmented the data into intuitive categories, used color coding for trends, and included interactive elements that allowed users to explore the data dynamically. This proved effective for C-level executives in making strategic decisions.

I use a combination of techniques to gather requirements, including interviews, surveys, and workshops. During these sessions, I focus on asking open-ended questions to elicit detailed responses and truly understand stakeholder needs. Creating prototypes or mock-ups also helps refine and validate requirements before full development.

The most challenging aspect of data migration lies in ensuring data integrity and completeness during the transition. I manage this by meticulously planning the migration process, performing pre-migration data quality checks, and conducting thorough testing post-migration to identify and rectify any discrepancies.

To stay updated with the latest trends in data analytics, I regularly participate in webinars, subscribe to industry newsletters, and actively engage with online communities. Continuous learning is also part of my professional development, as I value enhancing my skill set to deliver more impactful insights.

Collaboration is essential for a Senior Data Analyst as it fosters a deeper understanding of business needs and allows for pooling of ideas and knowledge. Working closely with stakeholders ensures that the analysis is aligned with organizational goals, and it encourages a culture of continuous improvement in data practices.