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Senior Data Analyst

As a Senior Data Analyst in our Data Product & Analytics team, you will own the design and maintenance of end-to-end data models, and collaborate with Data Engineering and Data Product Managers to build efficient and scalable analytics solutions. You will perform deeper analyses on traffic, revenue, and advertiser data, and triage and resolve complex data questions. Responsibilities include:

Data Modeling & Analytics:

  • Design and maintain end-to-end data models in collaboration with Data Engineering and Data Product teams.

  • Build efficient, scalable analytics solutions (dashboards, reports, data pipelines) to support business decisions.

Technical & Ad Hoc Analyses:

  • Use Python and SQL to perform deeper analyses on traffic, revenue, or advertiser data.

  • Triage and resolve complex data questions or inconsistencies flagged by the team or stakeholders.

Collaboration & Support:

  • Work closely with existing analysts, providing guidance on technical best practices (Airflow, dbt, Git workflows).

  • Participate in code reviews and knowledge-sharing sessions to elevate overall team proficiency.

Stakeholder Engagement:

  • Translate business requirements into actionable technical solutions.

  • Communicate insights effectively to both technical and non-technical partners, ensuring everyone understands the “why” behind the data.

Quality Assurance & Monitoring:

  • Continuously monitor data pipelines for anomalies, investigate and resolve data issues before they impact stakeholders.

  • Collaborate with Data Engineering to address root causes, ensuring a stable data environment.

Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds. 

 

We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency. 

 

Gen complies with all anti-discrimination laws. 

 

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. 

Average salary estimate

$102500 / YEARLY (est.)
min
max
$85000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Analyst, Gen

As a Senior Data Analyst at Gen in Tempe, Arizona, you will take charge of designing and maintaining comprehensive data models for our Data Product & Analytics team. This role is not just about analyzing data; it's about transforming insights into impactful decisions. You'll collaborate closely with Data Engineering and Data Product Managers to create efficient, scalable analytics solutions that include dashboards and data pipelines. Your expertise in Python and SQL will allow you to delve into traffic, revenue, and advertiser data, expertly tackling complex queries and inconsistencies. You'll also support fellow analysts by providing guidance on technical best practices, ensuring the entire team thrives through collaboration and knowledge sharing. Engaging with stakeholders is key, as you'll need to translate their business requirements into actionable solutions while effectively communicating insights to both technical and non-technical partners. Quality assurance will also play a crucial role in your responsibilities, as you continuously monitor data pipelines for anomalies and work with Data Engineering to resolve issues before they affect performance. At Gen, we pride ourselves on our diverse and inclusive environment where every team member's contributions are valued. If you’re an experienced analyst looking to make a difference, Gen might just be the perfect place to advance your career!

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at Gen
What are the main responsibilities of a Senior Data Analyst at Gen?

The Senior Data Analyst at Gen is tasked with designing and maintaining end-to-end data models. This involves collaborating with Data Engineering and Data Product Managers to create scalable analytics solutions, performing in-depth analyses on datasets, and resolving complex data questions from stakeholders.

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What qualifications are required for the Senior Data Analyst position at Gen?

To qualify for the Senior Data Analyst role at Gen, candidates typically need a strong background in data analytics, proficiency in programming languages like Python and SQL, and experience with data modeling and analytics tools. Familiarity with data environments, code review practices, and stakeholder engagement is also beneficial.

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How does the Senior Data Analyst contribute to team collaboration at Gen?

In this role, the Senior Data Analyst at Gen supports the team by providing guidance on technical best practices and participating in knowledge-sharing sessions. This helps elevate the overall proficiency of the team and encourages a collaborative atmosphere that fosters professional growth.

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What technical skills are important for a Senior Data Analyst at Gen?

A Senior Data Analyst at Gen should possess strong technical skills, particularly in Python and SQL, as they are essential for performing deeper analyses. Additionally, familiarity with data integration tools, data visualization platforms, and workflow management systems (like Airflow and dbt) is advantageous.

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What is Gen's commitment to diversity and inclusion for the Senior Data Analyst role?

Gen is committed to creating a diverse and inclusive work environment, ensuring that employment decisions for the Senior Data Analyst position are based on merit and experience, without regard to protected characteristics. This dedication extends to all aspects of employment, including recruitment and retention.

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Common Interview Questions for Senior Data Analyst
Can you describe your experience with data modeling as a Senior Data Analyst?

In your response, detail specific projects where you successfully designed data models. Highlight any tools or methodologies you used and how these models impacted business decisions.

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What complexities have you encountered in data analysis and how did you resolve them?

Share a specific example of a complex analysis, the challenges faced, and the steps you took to resolve them. Emphasize problem-solving skills and outcomes.

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How do you ensure data integrity in your analysis?

Discuss your techniques for monitoring data quality, such as regular audits and validations. Share an example of when you identified and fixed a data inconsistency.

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Describe how you communicate insights derived from data to non-technical stakeholders.

Explain your approach to tailoring your communication style based on your audience. Use a past instance where your insights led to key business decisions.

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What methodologies do you use for building scalable analytics solutions?

Discuss frameworks you've employed for scalability in data analytics, such as Agile methodologies or specific data pipeline tools that support efficient growth.

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How do you stay current with trends in data analysis?

Highlight your commitment to continuous learning, mentioning any courses, webinars, or communities you participate in to stay updated on industry trends.

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What role does collaboration play in your effectiveness as a Senior Data Analyst?

Share examples of collaborative projects and how working with other teams enhanced your analytical work, improved outcomes, and fostered team unity.

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What is your experience with Python and SQL for data analytics?

Discuss your proficiency with Python and SQL, including specific libraries or frameworks you've used. Provide examples of analyses performed with these tools.

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How do you approach troubleshooting data discrepancies?

Explain your systematic approach to troubleshooting discrepancies, illustrating with an example of how you identified and corrected an issue in the data.

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Can you give an example of a successful data-driven decision you supported?

Describe a situation where your analysis led to a significant business decision. Outline the process from your findings to the action taken and the results achieved.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 13, 2025

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