Senior Data Analyst - job 1 of 2

As a Senior Data Analyst at MNTN, your responsibilities will include supporting data analysis needs within the Production Operations team, conducting analytics and producing reports for external stakeholders, and investigating data incidents to provide actionable insights. You'll also analyze operational data, prototype monitoring solutions, and collaborate across teams to enhance our product offerings.

To be a successful Senior Data Analyst at MNTN, candidates should have at least 5 years of experience in data analytics, proficiency in SQL for querying large datasets, and a solid understanding of Python or other data analytics tools. Familiarity with high-volume data environments and tools like DataBricks, Spark, or Snowflake is highly desirable.

MNTN is committed to employee development and offers a range of benefits that support professional growth, including access to coaching, therapy, and continued education opportunities. As a Senior Data Analyst, you'll also have the chance to experiment with innovative data solutions and foster collaboration across teams, all contributing to your career advancement.

At MNTN, you can look forward to a remote-friendly working environment that prioritizes flexibility and comfort. Our teams are characterized by a fun and entrepreneurial culture that embraces growth and change, making it an ideal place for a self-starter like you to thrive.

In the role of Senior Data Analyst at MNTN, you will work on a variety of projects that include delivering data transformations, creating visualizations for reports and dashboards, and identifying trends or anomalies in production data. Your work will directly impact how we optimize our Connected TV advertising solutions.

When responding to this question, highlight specific projects where you've worked with large datasets and describe the tools and methodologies you used. Emphasize your analytical skills, your ability to derive insights, and how your expertise can directly benefit MNTN's operations and performance.

Discuss tools like Tableau, Power BI, or even pivot tables in Excel that you’ve used for data visualization. Share examples of how you've presented data to different stakeholders and the positive impact those insights had on decision-making.

Explain your process for cleaning data, such as standardizing formats, handling missing data, and using SQL or Python for data manipulation. Emphasize the importance of data integrity as it impacts the insights derived from your analyses.

Provide a specific example where you detected an anomaly, outline the steps you took to perform root cause analysis, and explain how your findings influenced a business decision or strategy.

Detail your proficiency in SQL, including the types of queries you've written and the datasets you've worked with. Share specific outcomes that resulted from your analyses and how they benefited your previous employers.

Discuss your organizational methods, such as using project management tools or prioritizing by deadlines and impact. Provide examples of how effective task management helped you meet project timelines while maintaining quality.

Talk about potential challenges like handling large volumes of data or collaborating across teams. Share strategies you would employ to ensure successful outcomes, such as fostering clear communication and staying updated with industry best practices.

Briefly outline your experience with ETL (Extract, Transform, Load) processes, including tools you've used to streamline data flows and how this knowledge enhances your data analysis capabilities.

Share the tools you’re most comfortable with and how you've used them in past roles to drive insights and improve operational efficiencies. Be specific about projects or achievements linked to these tools.

This is a great opportunity to express your admiration for MNTN's innovative approach and how your skill set aligns with the company's values and goals. Discuss your enthusiasm for contributing to the excitement in Connected TV advertising.