Data Analyst

As a Data Analyst at Poten, you will primarily manage and work on various NGLs and LPG databases. This includes the development, management, and automation of our consulting, research, and publication databases, ensuring that all data is accurate and readily accessible.

To apply for the Data Analyst role at Poten, you should have advanced experience with Microsoft Office, particularly Excel, PowerPoint, Word, and Access. Additionally, familiarity with data analytics tools such as Power BI, Tableau, or Python is preferred, along with excellent analytical skills.

Experience with data analytics tools is highly beneficial for the Data Analyst role at Poten. Proficiency in tools like Power BI, Tableau, and Python will not only enhance your analytical capabilities but also set you apart as a preferred candidate for the position.

Success as a Data Analyst at Poten requires excellent analytical skills, proficiency in Microsoft Office, and experience with data analytics tools. You should be able to research and quantitatively analyze industry data effectively to support our consulting efforts.

Yes, Poten values professional development and offers opportunities for Data Analysts to grow their skills through continuous learning and exposure to industry-leading practices and technologies.

When answering this question, describe a specific project that highlights your analytical skills. Discuss the tools you used, your methodology, and the impact of your findings on the organization.

To ensure data accuracy, I implement validation checks and cross-reference data sources regularly. I also create documentation to track changes and updates to maintain data integrity throughout the project lifecycle.

In interviews, highlight your experience with tools like Power BI or Tableau. Discuss what you like about these tools, such as ease of use, data connectivity, and the ability to create impactful visualizations that cater to various stakeholders.

I take a structured approach to research by first defining the objectives and then identifying credible sources. I cross-verify information, analyze trends, and compile actionable insights to support my findings with solid evidence.

Discuss a specific instance where you effectively presented data findings. Focus on how you tailored your presentation for your audience, the tools you used, and how you engaged them to ensure understanding of your findings.

I prioritize based on project deadlines and the overall impact on the organization. I often use management tools to track progress and ensure communication within the team to stay aligned on priorities.

Share a specific example where your analysis resulted in improved business outcomes. Detail the analysis process, what insights were generated, and how they were implemented to achieve the desired results.

Identify key performance indicators relevant to your previous work. Explain how these metrics help in understanding business performance and driving informed decisions.

I stay updated by subscribing to industry journals, attending webinars, and participating in professional groups. Following thought leaders on social media also helps me stay current with trends and advancements in data analytics.

While various skills are important, I believe that strong analytical thinking is the most critical. The ability to interpret complex data and convert it into actionable insights is essential for driving success at Poten.