Analytics Engineer

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

Our flexible work benefit - Scribd Flex - enables employees, in partnership with their manager, to choose the daily work-style that best suits their individual needs. As an organization, we prioritize collaboration and intentional in-person moments to build culture and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.

About the Team and Role

The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.

In this role, you will play a crucial part in transforming our vast amounts of data into actionable insights that drive key business decisions for our Discovery and User Generated (UGC) Pillars. You'll work at the intersection of data engineering, analytics and product owners focusing on creating accurate, efficient and scalable data models and tables that will power our analytics and machine learning initiatives. A key aspect of your role will be managing and ensuring correct data definitions across the organization, collaborating closely with business stakeholders to establish a common data language.

About You

You are a highly motivated and technically adept individual who thrives on solving complex data challenges and ambiguous business problems. You excel in our fast-paced and collaborative environment, leveraging your strong communication skills to effectively interact with data scientists, data engineers, executives, and cross-functional teams. Your strategic thinking allows you to balance high-level data architecture considerations with meticulous attention to detail in your code and data models.

Your natural curiosity drives you to explore intricate data systems, optimize query performance, and find innovative solutions to data pipeline challenges. You're excited about the intersection of data engineering and analytics, always seeking to bridge the gap between complex data systems and actionable business intelligence.

You have a knack for translating business requirements into robust data solutions, ensuring data accuracy, accessibility, and scalability. Your commitment to data quality and governance is evident in your consistent advocacy for and implementation of best practices in data modeling and engineering.

You Will

• Design, develop, and maintain advanced data models that support the Discovery and UGC pillars (e.g. impression tracking, document uploads, ads reporting, etc.)

• Collaborate closely with data scientists, analysts, product managers, and business stakeholders to understand complex business requirements and translate them into robust data solutions

• Create and optimize complex SQL queries and data transformations to support large-scale data analysis and reporting

• Collaborate with Data Engineers to implement, develop and maintain production data pipelines using our modern data stack

• Contribute to the development of our internal data platform, improving data accessibility and usability for the entire organization

• Create comprehensive documentation for data processes, models, and metrics to promote data literacy across the company

• Ensure data quality, accuracy, and consistency across all our data platforms, implementing data validation processes and monitoring systems

You Have

• Proven experience (2+ years) in analytics engineering, business intelligence or quantitative data analysis, preferably in a high-velocity environment, with a track record of delivering accurate, efficient, scalable and well defined data models.

• Highly analytical mindset with demonstrated ability to work through complex, ambiguous datasets

• Expert level proficiency in SQL with experience in data modeling

• Expertise in programming languages such as Python

• Strong proficiency in data visualization tools such as Tableau, Looker, or similar tools to create compelling dashboards and reports.

• Self-motivated, proactive, and able to work effectively both independently and collaboratively in a dynamic, fast-paced environment.

• Excellent communication skills, with the ability to convey complex issues and insights to both technical and non-technical stakeholders in a clear and actionable manner.

• Strong problem-solving skills with the ability to think critically to ensure we are building ensuring accuracy and attention to detail.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A Master's degree is a plus.

Ideally You Have

• Experience with version control systems (e.g., Git)

• Familiarity with agile development methodologies

At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $91,000 [minimum salary in our lowest geographic market within California] to $146,750 [maximum salary in our highest geographic market within California].

In the United States, outside California, the reasonably expected salary range is between $75,000 [minimum salary in our lowest US geographic market outside of California] to $139,750 [maximum salary in our highest US geographic market outside of California].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Benefits, Perks, and Wellbeing at Scribd

*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.

• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees

• 12 weeks paid parental leave

• Short-term/long-term disability plans

• 401k/RSP matching

• Tuition Reimbursement

• Learning & Development programs

• Quarterly stipend for Wellness, Connectivity & Comfort

• Mental Health support & resources

• Free subscription to Scribd + gift memberships for friends & family

• Referral Bonuses

• Book Benefit

• Sabbaticals

• Company wide events

• Team engagement budgets

• Vacation & Personal Days

• Paid Holidays (+ winter break)

• Flexible Sick Time

• Volunteer Day

• Company-wide Diversity, Equity, & Inclusion programs

Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life

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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations [@] scribd.com about the need for adjustments at any point in the interview process.

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Georgia, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico.

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