Analytics Engineer II

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.

When it comes to workplace structure we believe in balancing individual flexibility and community connections. Its through our flexible work benefit Scribd Flex that employees in partnership with their manager can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration culture and connection. For this reason occasional in-person attendance is required for all Scribd employees regardless of their location.

So what are we looking for in new team members Well we hire for GRIT. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd we are inspired by the potential that this can unlock and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Heres what that means for you: were looking for someone who showcases the ability to set and achieve Goals achieve Results within their job responsibilities contribute Innovative ideas and solutions and positively influence the broader Team through collaboration and attitude.

About the 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 Growth and Premium Pillars. Youll 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. Youre 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 Growth and Premium 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.

• Bachelors degree in a quantitative field such as Statistics Mathematics Computer Science Economics or a related discipline. A Masters degree is a plus.

Ideally you have:

• Knowledge of data pipeline tools (e.g. Airflow dbt)

• 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 $112500 minimum salary in our lowest geographic market within California to $175000 maximum salary in our highest geographic market within California.

In the United States outside of California the reasonably expected salary range is between $92500 minimum salary in our lowest US geographic market outside of California to $166500 maximum salary in our highest US geographic market outside of California.

In Canada the reasonably expected salary range is between $117500 CAD minimum salary in our lowest geographic market to $156000 CAD maximum salary in our highest geographic market.

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.

Are you currently based in a location where Scribd is able to employ you
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:

United States:

Atlanta Austin Boston Dallas Denver Houston Jacksonville Los Angeles Miami New York City Phoenix Portland Sacramento Salt Lake City San Diego San Francisco Seattle Washington D.C.

Canada:

Ottawa Toronto Vancouver

Mexico:

Mexico City

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

• Onboarding stipend for home office peripherals accessories

• Learning & Development allowance

• Learning & Development programs

• Quarterly stipend for Wellness WiFi etc.

• 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 Employee Resource Groups and programs that foster an inclusive and diverse workplace.

Access to AI Tools: We provide free access to best-in-class AI tools empowering you to boost productivity streamline workflows and accelerate bold innovation.

Want to learn more about life at Scribd 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 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.