Sr. Data Analyst

A Sr. Data Analyst at Antenna is responsible for designing custom data solutions, collaborating with commercial teams and customers to identify data-driven opportunities, and ensuring the rapid delivery of high-quality data products. This role also involves analyzing large datasets and communicating complex analyses effectively while prioritizing operational improvements based on customer needs.

To qualify for the Sr. Data Analyst position at Antenna, candidates should possess strong knowledge and experience with SQL, Excel, and business intelligence tools such as Looker or Redash, ideally with at least three years in the field. Additionally, a proven track record of effective collaboration with internal and external stakeholders, strong analytical skills, and advanced English proficiency (B2-C1) are crucial for this role.

The Sr. Data Analyst at Antenna contributes to strategic decisions by leveraging data to identify significant trends and insights that inform business strategies. By collaborating closely with the commercial team and customers, the analyst can discover ways in which Antenna's data can drive impactful, data-driven decisions that enhance operational processes and prioritize customer needs.

A Sr. Data Analyst at Antenna typically utilizes SQL for data querying, Excel for data analysis, and business intelligence tools like Looker and Redash for visualizing insights. Proficiency in these tools is essential for designing effective data solutions and delivering actionable analyses to stakeholders.

The work environment for a Sr. Data Analyst at Antenna is dynamic and fast-paced, typical of a startup. Analysts are expected to be self-starters, managing multiple projects simultaneously while meeting tight deadlines. The culture values collaboration, effective communication, and responsiveness to feedback, fostering an atmosphere that encourages innovation and proactive problem-solving.

Certainly! In interviews, highlight your proficiency in SQL by discussing specific projects where you utilized it to extract valuable insights from complex datasets. Mention any performance optimizations you've implemented and how these contributions positively impacted decision-making processes.

To ensure data accuracy, emphasize your attention to detail and the processes you implement, such as validating data sources, conducting regular audits, and utilizing automated checks. Providing examples of how these practices have enhanced your previous projects will strengthen your response.

Think of a situation where you successfully worked with cross-functional teams. Describe the goal, your role, the strategies you used for effective communication, and the outcome. This shows your capability to enhance collaborative efforts and drive results.

Discuss techniques such as data cleaning, normalization, and statistical analysis that you apply when working with large datasets. Highlight any specific tools or programming languages you leverage, and provide examples of how these methods have led to actionable insights.

Explain your prioritization strategy, whether it involves evaluating project deadlines, weighing the potential impact of each task, or utilizing project management tools. Sharing an example of a challenging situation where you successfully prioritized or renegotiated deadlines will add depth to your answer.

Identify a particular challenge you faced, such as data inconsistencies or complex stakeholder requirements. Then, explain the steps you took to resolve the issues and the lessons you learned, showcasing your problem-solving abilities and resilience in tough situations.

Communicate that you welcome feedback as a tool for growth. Provide an example where constructive feedback led to a significant improvement in your analysis or process and emphasize your adaptability in implementing changes based on peer suggestions.

Convey your commitment to ongoing learning by mentioning resources such as industry blogs, webinars, or professional networking. Reference specific trends in the Subscription Economy or data analysis that you are currently exploring.

Share a specific instance where your analysis provided critical insights that shaped a decision. Describe the context, the analysis you performed, and the result, demonstrating how your work aligns with strategic business objectives.

Discuss attributes such as strong analytical skills, effective communication, adaptability, and a results-oriented mindset. Providing personal examples of how these attributes have contributed to your success as a data analyst will make your answer compelling.