Senior Analytics Consultant (Sigma)

To be considered for the Senior Analytics Consultant role at phData, candidates should possess a Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Accounting, or a related field. A minimum of 4-6 years of experience in a data analytics or reporting role is essential, with demonstrated expertise in the Sigma Computing platform. Additionally, having proficiency in Excel and experience with tools like Power BI or Tableau are beneficial.

As a Senior Analytics Consultant at phData, your key responsibilities would include designing and maintaining dashboards using Sigma, ensuring data visualizations effectively convey complex insights, and collaborating with stakeholders to meet their reporting needs. You will also be tasked with creating robust data models, managing the Sigma platform, and communicating findings to non-technical stakeholders, ensuring they understand the implications for the business.

At phData, we are committed to the professional growth of our team members. As a Senior Analytics Consultant, you will have access to advanced training and certifications, ensuring you stay updated with the latest tools and features in the analytics field. Our environment promotes continuous learning, enabling you to enhance your skillset and advance your career.

The work culture at phData is described as casual, collaborative, and high-performing. We embrace a remote-first environment where creativity, transparency, and autonomy are not just encouraged but celebrated. Our diverse team constitutes a variety of backgrounds and perspectives, making it a great place for Senior Analytics Consultants to thrive both personally and professionally.

As a Senior Analytics Consultant at phData, you will primarily use the Sigma Computing platform for data visualization and modeling. Additionally, you should be proficient in Excel and have familiarity with reporting tools like Power BI and Tableau. SQL skills for data modeling and visualization techniques also play a critical part in your daily responsibilities.

When answering this question, detail specific projects where you used Sigma for data visualization and analytics. Highlight your ability to configure Sigma Input and manage Embedded Tables, showcasing how you delivered insights effectively using the platform.

To tackle this question effectively, share your approach to simplifying data findings. Discuss how you tailor your presentations, using clear visuals and storytelling techniques to ensure your audience understands the implications of the data.

Address how you establish validation rules and data governance practices in your work. Share examples of processes you've implemented to maintain high standards of data quality in your reporting.

Explain your proactive approach to keeping up with Sigma updates, such as attending webinars, following community forums, or participating in training sessions. This shows your commitment to continuous improvement and leveraging the platform’s capabilities.

When responding, describe the purpose of the dashboard, the data it visualized, and the impact it had on decision-making. Highlight any positive feedback received and how you incorporated user input to enhance its functionality.

Discuss your organizational skills and the tools you use to manage deadlines and stakeholder expectations. Emphasize your ability to communicate effectively and negotiate timelines when necessary.

Provide a detailed narrative of the problem, the analytical methods you employed, and the resolution you achieved. This showcases your problem-solving abilities and technical expertise.

Talk about specific functions, features, or add-ons in Excel that you've used to analyze data, such as pivot tables, VLOOKUP, or data visualization tools. This highlights your proficiency and capability to leverage Excel effectively in analytics.

Share the different visualization techniques you employ, whether it’s through charts, graphs, or dashboards. Emphasize your focus on user experience and clarity in presenting data insights.

Describe how you build relationships with teammates from different departments, emphasizing communication, shared goals, and understanding their unique perspectives. Highlight the importance of teamwork in delivering analytics solutions.