Data Analyst

As a Data Analyst at Sovrn, your primary responsibilities will include performing detailed data analyses to uncover insights that support various aspects of our business, such as sales and marketing. You'll be translating complex data into clear, actionable insights, maintaining high-quality reports, and building relationships with stakeholders to understand their data needs.

To qualify for the Data Analyst position at Sovrn, candidates should have a Bachelor's degree in a relevant field like Data Science, Mathematics, or Statistics, or possess at least one year of relevant data analysis experience. Proficiency in tools such as Databricks, Looker, and Excel is also essential.

A Data Analyst at Sovrn should be familiar with tools like Databricks and Python, as well as visualization platforms such as Looker. Additionally, experience with Excel and CRM systems like SalesForce would be advantageous to effectively manage and analyze data.

The work environment for a Data Analyst at Sovrn is collaborative and dynamic, with a mix of onsite and remote work. You will have the opportunity to interact with various departments and gain exposure to different business areas while working on multiple projects in a fast-paced setting.

Sovrn is committed to employee growth and learning, emphasizing accountability and adaptability. As a Data Analyst, you will have opportunities to explore new areas, suggest improvements in current procedures, and collaborate with team members, fostering a culture of learning and development.

In your response, highlight specific projects where you performed data analysis and the tools you used. Discuss how your insights influenced decision-making and improved business performance, showcasing your analytical skills.

When answering this question, emphasize your ability to simplify complex information and use visual aids like dashboards. Provide an example of a time when you successfully communicated findings to a non-technical audience and the impact it had.

Detail your experience with data visualization tools such as Looker, Tableau, or Power BI. Mention specific projects where these tools helped convey insights effectively and supported strategic decision-making.

Discuss your methods for validating data, such as double-checking sources, using automated scripts, or peer reviews. Share a past experience where ensuring data accuracy was crucial to the project's success.

Provide a concrete example of your analysis that resulted in actionable insights and measurable business outcomes. Focus on your role in identifying the problem, the steps you took, and the quantifiable results.

Explain the statistical techniques you're familiar with, such as regression analysis or A/B testing, and describe how you've applied these techniques in real projects to derive insights from data.

Share your strategies for time management, such as using project management tools, setting deadlines, and maintaining organized notes. Provide an example of a time when you successfully juggled multiple responsibilities.

Discuss the importance of collaboration, communication, and being a reliable resource for supporting team goals. Illustrate with a specific example of teamwork, focusing on how you contributed as a Data Analyst.

Outline your conflict resolution strategies, such as facilitating discussions to understand priorities, using data to mediate decisions, and finding common ground that addresses multiple stakeholders' needs.

Share your enthusiasm for Sovrn's values and mission. Discuss how you align with their focus on the Open Web and the opportunity to impact businesses while working in a collaborative environment.