(968) Senior Power BI Analyst

The Senior Power BI Analyst at Nearsure is responsible for designing, developing, and maintaining interactive dashboards and reports using Power BI. Collaborating closely with data analysts and stakeholders, this role requires translating business requirements into actionable data insights. The analyst also manages detailed reports, optimizes data warehouse environments, and ensures high performance and data quality.

To apply for the Senior Power BI Analyst position at Nearsure, candidates should possess a Bachelor's Degree in Computer Science, Engineering, or a related field, along with 5 or more years of experience in Data Engineering. Specific expertise in Power BI (3+ years), SSRS (2+ years), and Azure platforms (1+ year each in DevOps and Data Factory) is essential, as well as an advanced English level for effective communication with US clients.

As a Senior Power BI Analyst at Nearsure, you will utilize various tools and technologies, including Power BI for dashboard and report creation, SQL Server Reporting Services (SSRS) for report management, and Azure services like Azure DevOps and Azure Data Factory for code deployment and continuous integration. These tools are integral to delivering efficient data solutions.

The work environment for a Senior Power BI Analyst at Nearsure is remote, flexible, and supportive. You'll be part of a collaborative, LATAM-based team that values autonomy and fosters open communication. The company promotes work-life balance through various benefits, including team-building activities and wellness check-ins, ensuring you can thrive both personally and professionally.

The hiring process for the Senior Power BI Analyst role at Nearsure involves an initial chat about your experience, followed by a technical interview with the top developers. If you impress in both of these interviews, you'll meet with the client, which is the final step before joining our dynamic team. The process is designed to ensure we find the best fit for our collaborative culture.

When answering this question, it's important to highlight specific projects where you've implemented Power BI to create dashboards or reports that led to actionable insights. Be sure to discuss your approach to data visualization, your understanding of business requirements, and the impact your work had on decision-making in your past roles.

Discuss your methodologies for validating data, such as cross-referencing sources and employing data quality checks. Mention any tools or techniques you use to cleanse data and how you ensure that your dashboards accurately reflect the true state of business metrics. Highlighting teamwork with data analysts can also show your collaborative approach.

Explain your approach to understanding the stakeholder's needs by asking clarifying questions. Discuss how you'd focus on key metrics important to them, ensuring the dashboard's design is user-friendly. Highlight your communication skills in translating technical jargon into easily digestible insights, which is key in empowering non-technical users.

Share specific examples of how you've utilized Azure DevOps in previous projects, discussing elements like source control management, deployment pipelines, and continuous integration. Explain how these functionalities helped streamline collaboration with teams and improved the overall efficiency of your data solutions.

In your response, outline a particular challenge related to data extraction, transformation, or visualization—detailing the steps you took to analyze the problem and the solutions you considered. Discuss the technologies involved, your thought process, and what you learned from the experience to demonstrate problem-solving skills.

Talk about key best practices, such as maintaining a clean, uncluttered layout, using appropriate data visualizations, and ensuring that interactive elements, like filters and drill-downs, enhance user experience. Explain how you prioritize stakeholder feedback in the design process to ensure the dashboards meet user needs effectively.

Discuss your strategies for continuous learning, such as following industry blogs, participating in webinars, attending conferences, or pursuing certifications. Highlight any communities you engage with, showcasing your commitment to professional development and staying at the forefront of data analytics innovations.

Explain your presentation style and how you tailor it to your audience. Mention techniques such as storytelling with data, using clear visuals, and engaging with stakeholders during the presentation to address questions on the spot. This demonstrates your ability to communicate complex data in an understandable way.

Discuss your understanding of both technical requirements and business objectives, providing examples of how you've navigated between the two. Highlight your ability to communicate with both technical teams and business stakeholders effectively, ensuring that data solutions align with business goals without sacrificing technical quality.

This is an opportunity to express your alignment with Nearsure's values, such as your enthusiasm for autonomy, collaboration, and your desire to work on impactful projects. Mention specific aspects of their culture, remote work flexibility, and commitment to employee well-being that resonate with you, showcasing your genuine interest in joining the team.