Senior Data Analyst

As a Senior Data Analyst at Roof Stacks, you'll oversee the entire data lifecycle, acting as the main point of contact for the company's data catalog. Your responsibilities will include performing custom analytics tailored to support various business teams, analyzing user and platform data to derive insights vital for growth and retention, and collaborating with stakeholders to design and develop actionable dashboards and metrics that inform strategic decisions.

Candidates for the Senior Data Analyst role at Roof Stacks should possess a minimum of 5 years of experience in Data Analytics or BI Engineering. This includes a strong proficiency in SQL, experience with multiple database technologies like BigQuery or Redshift, and advanced knowledge of data visualization tools such as Looker Studio and Apache Superset. Additionally, candidates should have experience in reporting, data analysis, and dashboarding.

While not mandatory, Python programming experience is highly preferred for the Senior Data Analyst position at Roof Stacks. This skill can significantly enhance your ability to automate data analysis processes and contribute to more efficient data workflows, making you an even more valuable asset to our team.

In addition to the mandatory requirements, Roof Stacks prefers candidates who display a proactive attitude, are team-oriented, and are quick learners. Familiarity with AWS Cloud technologies, understanding of data security and compliance, and previous experience with media and OTT platforms will definitely give candidates an edge in this role.

A Senior Data Analyst at Roof Stacks contributes to business growth by analyzing data to uncover strategic insights that affect user engagement and retention. By developing actionable dashboards and performing targeted analytics, you will help drive informed decision-making that directly supports the company's growth objectives.

In the interview, emphasize specific tools you have used, such as Looker Studio or Apache Superset. Discuss how you utilized these tools to create meaningful dashboards and reports that guided business decisions.

Outline a systematic approach, including gathering data, identifying key performance indicators, and employing analytical techniques to derive insights. Sharing a specific project where your analysis led to a successful outcome can be impactful.

Prepare a case where your collaboration led to the development of a dashboard or analytics tool that addressed a key business challenge. Highlight your communication skills and ability to understand stakeholder needs.

Discuss your proficiency in writing complex SQL queries, optimizing queries for performance, and experience with different database platforms like BigQuery or Redshift.

Describe your methods for validating data, such as running checks at various stages of the analytics process and regularly reviewing your data sources to maintain accuracy.

Share any experience you have in preparing data for analysis, detailing the ETL processes you've worked on, even if not directly part of your previous roles.

Explain your prioritization strategy, such as assessing project urgency, stakeholder impact, and deadlines, along with any project management tools you use.

Provide a specific example, highlighting the challenges faced and the analytical techniques used to resolve them, which demonstrates your problem-solving skills.

Discuss any understanding of data security, governance practices, and compliance regulations you've encountered, even if it's just foundational knowledge.

Mention your approach to continuous learning through following industry news, attending webinars, or participating in relevant workshops and courses.