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Senior Analytics Engineer - job 1 of 2

Fetch is looking for a Senior Analytics Engineer to help build systems for modeling data for internal and external stakeholders in a rapidly growing rewards app.

Skills

  • SQL
  • Data Modeling
  • DBT
  • Airflow
  • AWS
  • Data Quality

Responsibilities

  • Model and analyze data utilizing SQL best practices
  • Leverage Data Build Tool (DBT) and other engineering best practices
  • Generate innovative approaches to datasets
  • Translate business requirements into actionable insights
  • Communicate findings clearly to stakeholders
  • Test, monitor, and report on data quality

Education

  • Bachelor's degree in a related field

Benefits

  • Equity for everyone
  • 401k Match
  • Comprehensive medical, dental and vision plans
  • Education reimbursement
  • Flexible PTO and paid holidays
  • Paid parental leave
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$110000 / YEARLY (est.)
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$90000K
$130000K

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What You Should Know About Senior Analytics Engineer , Fetch

At Fetch, we're on a mission to transform the way consumers earn rewards, and we're on the lookout for a talented Senior Analytics Engineer to join our innovative team. Based in the United States, this remote-friendly position is your opportunity to make an impact on our platform, which enables millions of users to enhance their shopping experiences and turn everyday purchases into rewards. As a Senior Analytics Engineer, you will be responsible for designing and building robust data modeling systems that consolidate diverse data sources, helping both internal and external stakeholders gain valuable insights. You'll be diving into SQL best practices and working with cutting-edge tools like DBT, Snowflake, and AWS to analyze data from millions of daily active users. This position allows you to be at the forefront of evolving our analytics capabilities while leading initiatives for data documentation and quality assurance. If you're someone who enjoys tackling complex, ambiguous problems and thrives in a collaborative cross-functional team, Fetch is the place for you. With our people-first culture and commitment to innovation, you'll play a key role in reshaping how brands interact with their customers. Come work with us and be part of something great—empowering consumers to Live Rewarded with Fetch Points!

Frequently Asked Questions (FAQs) for Senior Analytics Engineer Role at Fetch
What are the responsibilities of a Senior Analytics Engineer at Fetch?

As a Senior Analytics Engineer at Fetch, you'll be tasked with modeling and analyzing data using SQL best practices while leveraging tools like DBT, Snowflake, and Airflow. Your role will involve generating actionable insights from vast datasets, translating business needs into data models, and crafting clear communication to stakeholders about your findings. Additionally, you'll manage Snowflake infrastructure, ensure data quality, and lead documentation initiatives.

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What qualifications are needed for the Senior Analytics Engineer role at Fetch?

Fetch seeks candidates with at least 3 years of professional experience in a technical role involving advanced SQL knowledge and familiarity with both relational and non-relational databases. You'll need to demonstrate your ability to communicate effectively about data with various stakeholders. Proficiency in programming languages such as Python is also beneficial, along with experience in ETL processes and data orchestration tools.

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How does Fetch support the development of its Senior Analytics Engineers?

At Fetch, we prioritize the growth and development of our team members. We offer a generous education reimbursement of up to $10,000 per year to help you further your skills. Moreover, our culture encourages experimentation with tools and technology, and we actively share learnings across the organization. You'll be supported in building new initiatives that enhance your professional journey.

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What challenges might a Senior Analytics Engineer face at Fetch?

As a Senior Analytics Engineer at Fetch, you may encounter complex, ambiguous challenges requiring innovative solutions. These might include optimizing data queries for performance, integrating multiple data sources, and creating data models that provide real-time insights. However, with a collaborative team and a supportive environment, you'll find that these challenges present opportunities for substantial learning and growth.

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What kind of projects can a Senior Analytics Engineer expect to work on at Fetch?

In this role, you'll engage in projects that involve analyzing datasets from millions of users and terabytes of data. You’ll work on building systems that enable brands to better understand their customers and improve their shopping experiences. Whether it's through advanced data modeling or ensuring robust data quality, you will play a crucial role in impacting how Fetch empowers consumers to earn rewards.

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Common Interview Questions for Senior Analytics Engineer
Can you describe a complex data modeling project you worked on as a Senior Analytics Engineer?

When answering this question, focus on specific challenges you faced, the methodologies you employed, and the ultimate impact of your work on the project's success. Highlight your collaboration with team members and how you utilized SQL, DBT, or Snowflake to achieve your goals.

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How do you ensure data quality in your analytics work?

Discuss the methods you use for monitoring data health, such as implementing quality checks and validating datasets. Provide examples of processes or tools you've developed or utilized to maintain high data integrity over time.

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What tools do you prefer for data orchestration and why?

Share your experience with different orchestration tools, like Airflow or DBT, and explain the reasons behind your preferences. Discuss how these tools help streamline data workflows, improve efficiency, and standardize processes.

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How do you approach translating business requirements into technical specifications?

Reflect on your experience working with cross-functional teams. Explain your process for gathering requirements, understanding stakeholder needs, and how you convert them into actionable data models, emphasizing communication and clarity.

Join Rise to see the full answer
Can you explain the difference between OLAP and OLTP databases?

When discussing OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing), highlight their primary uses, storage types, and performance characteristics. This knowledge demonstrates your understanding of database management principles essential for a Senior Analytics Engineer role.

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Describe a time when you had to troubleshoot a significant data issue.

Share a specific situation where you identified, diagnosed, and resolved a data-related problem. Emphasize your analytical thinking and problem-solving skills, detailing how you communicated findings and solutions to your team.

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What advancements in data engineering do you find most exciting?

This question allows you to showcase your knowledge of trends in the field. Discuss new technologies, frameworks, or methodologies that intrigue you, demonstrating your passion for continual learning and innovation in analytics.

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How do you keep yourself updated on industry trends in analytics?

Explain your strategies for staying current, such as attending workshops, participating in online forums, following industry leaders, or enrolling in courses. Showing initiative in continued education reflects your commitment to personal and professional growth.

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What experience do you have with cloud data platforms like AWS or GCP?

Discuss your hands-on experience with cloud services, highlighting specific projects where you've implemented solutions using these platforms. Mention any relevant certifications you may hold to reinforce your expertise.

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Why do you want to work at Fetch as a Senior Analytics Engineer?

This question is your opportunity to express genuine interest in Fetch's mission and values. Reflect on how your skills and experiences align with the company's objectives, and mention aspects of their culture or projects that particularly appeal to you.

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Join a fast-growing, founder-led technology company that’s still only in its early innings. Ranked one of America’s Best Startup Employers by Forbes two years in a row, Fetch is building a people-first culture rooted in trust and accountability. H...

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$90,000/yr - $130,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
January 12, 2025

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