Senior Analytics Engineer

RedditReddit·Remote(Remote - Ontario, Canada)
Data & Analytics
Excel

WFA Digital Insight

The demand for skilled analytics engineers has surged in recent years, with a notable 25% increase in job openings in the remote job market. As a Senior Analytics Engineer at Reddit, you'll be at the forefront of shaping the company's data-driven culture. With Reddit's vast user base and diverse communities, this role offers a unique opportunity to work with large datasets and contribute to the company's business growth. Before applying, candidates should be aware of the importance of balancing technical expertise with business acumen and the ability to communicate complex data insights effectively.

Job Description

About the Role

The Senior Analytics Engineer position at Reddit is a key part of the Data Science organization, focusing on the Sales and Marketing domain. As a Senior Analytics Engineer, you will work closely with data scientists and cross-functional teams to develop and deploy data and analytic tooling that drives business growth. Your primary responsibility will be to curate, develop, and deploy the right data and analytic solutions to support Reddit's business objectives. Reddit is a community-driven platform with over 100,000 active communities and 126 million daily active unique visitors. As a Senior Analytics Engineer, you will be working with large datasets to identify trends, optimize business processes, and inform data-driven decision-making. The ideal candidate will have a strong track record of understanding the purpose of data in supporting business goals and can act as an effective conduit between data producers and data consumers.

What You Will Do

  • Be the Analytics Engineering lead within the Sales and Marketing organization, contributing to the success of Data Science data quality, performance, and automation initiatives.
  • Architect and improve the collection of underlying data, creating ETLs, reporting dashboards, data aggregations, and other deliverables needed for business tracking, advertiser outreach, and acquisition.
  • Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation, ensuring the quality and reliability of these data pipelines.
  • Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes.
  • Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.
  • Provide technical guidance, mentorship, coaching, and/or training to data scientists and other technical partners.
  • Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

What We Are Looking For

  • Advanced degree in a quantitative discipline such as statistics, operations research, or computer science.
  • Proven experience in analytics engineering, data science, or a related field, with a strong understanding of data structures, algorithms, and software design patterns.
  • Strong proficiency in Excel and experience working with large datasets.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Strong problem-solving skills, with the ability to analyze complex data sets and identify trends and patterns.
  • Experience with data visualization tools and techniques, with the ability to communicate complex data insights effectively.

Nice to Have

  • Experience working with cloud-based data platforms, such as AWS or Google Cloud.
  • Knowledge of machine learning algorithms and experience working with machine learning frameworks.
  • Experience with agile development methodologies and version control systems, such as Git.

Benefits and Perks

  • Competitive salary and benefits package.
  • Opportunity to work with a talented team of data scientists and engineers.
  • Flexible work arrangements, including remote work options.
  • Professional development opportunities, including training and conference attendance.
  • Access to cutting-edge technologies and tools.

How to Stand Out

  • To stand out as a candidate, be prepared to provide specific examples of your experience working with large datasets and developing data-driven solutions.
  • Make sure to highlight your proficiency in Excel and experience working with data visualization tools.
  • Be prepared to discuss your approach to data quality and data governance, as well as your experience working with cross-functional teams.
  • Consider including examples of your experience working with cloud-based data platforms or machine learning algorithms.
  • When negotiating salary, be sure to research the market rate for analytics engineers in your area and be prepared to discuss your expectations.

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