Analytics Engineer II

Scribd, Inc.; Seattle (WA); On-site; USD 92,000 - 167,000; Full time

Job summary

Join a leading company as an Analytics Engineer II, where you will be instrumental in turning vast amounts of data into actionable insights to aid business decisions. Work closely with stakeholders to ensure accurate data definitions while enhancing the data architecture within a collaborative environment that emphasizes flexibility and innovation.

Benefits

Healthcare Insurance Coverage (100% paid)

12 weeks paid parental leave

403(b) matching

Learning & Development allowance

Flexible Sick Time

Volunteer Day

Company-wide events

Mental Health support & resources

Qualifications

• Proven experience (2+ years) in analytics engineering.
• Expert level proficiency in SQL with experience in data modeling.
• Strong proficiency in data visualization tools.

Responsibilities

• Design, develop, and maintain advanced data models.
• Collaborate with data scientists and business stakeholders.
• Create and optimize SQL queries for data analysis.

Skills

SQL

Data modeling

Data visualization

Education

Bachelor's degree in Statistics, Mathematics, Computer Science or related discipline

Master's degree (preferred)

Tools

Tableau

Python

Job description

Join to apply for the Analytics Engineer II role at Scribd, Inc.

Join to apply for the Analytics Engineer II role at Scribd, Inc.

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. It’s 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. Here’s what that means for you: we’re 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. 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 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.
• 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

• 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 $112,500 [minimum salary in our lowest geographic market within California] to $175,000 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $92,500 [minimum salary in our lowest US geographic market outside of California] to $166,500 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $117,500 CAD [minimum salary in our lowest geographic market] to $156,000 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? www.linkedin.com/company/scribd/life

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 [e-mail] 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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