Senior Analytics Engineer - Mountain View, United States - Khan Academy

Description

ABOUT KHAN ACADEMY

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone anywhere. Our proven learning platform offers free, high-quality supplemental learning resources that cover Pre-K - 12th grade and early college core academic subjects, with a focus on math and science. We have over 155 million registered learners globally and are committed to improving learning outcomes for students around the world, with a focus on learners in historically under-resourced communities.

OUR COMMUNITY

Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

THE ROLE

We're a small team with big dreams and we're only just getting started. We have some of the richest educational data in the world, and we want to leverage that data to develop a clearer picture of who our users are, how they are using the site, and how we could better serve them on their educational journey. Your work will enable answering critical and meaningful questions like "how do students learn most effectively?" and "how can we improve our content and product?".

The Sr. Analytics Engineer will strengthen our capabilities to enable the organization to use data to inform our decisions. You'll have ownership of our enterprise data model and the core data pipelines that power our top line metrics and critical analyses.

The Sr. Analytics Engineer is someone who enjoys tidying and documenting data and then delighting in the company's well-organized EDW. You favor writing SQL to transform raw data into the data models to service your customers, the Analytics and Research teams, to empower them to generate actionable insights for stakeholders. You'll work on projects that improve the quality and reliability of our existing data, and you'll also enable entire new areas of the organization with new core data sources. And you adopt software engineering best practices to produce high quality data solutions.

What you'll do:

• Systematically build out our enterprise data model and warehouse:
  • Design, build, and productionize our ever-improving suite of core pipelines and data tables to enable standardized reporting and analysis.
  • Collaborate with engineers on the infrastructure team to improve our data technology stack (logging, instrumentation, ETL, security). You may also pitch in to help them bring new data into our warehouse.
  • Partner with analytics team members, the research team, and the broader product and business teams to design and standardize business rules and metric definitions.
  • Implement EDW standards and robust monitoring/QA processes to ensure we continue to improve the quality and reliability of our data.
• Empower every team with data:
  • Identify, pilot, and deploy whichever tools, datasets, and processes are best suited to increase access to and data use across Khan Academy to empower data-driven decision-making.
  • In addition to supporting members of the Data Insights Group, work with the product, content, philanthropy, marketing teams, and others to bring data to their fingertips, ideally with solutions that allow them to self-serve with our Looker implementation.
  • You will also build infrastructural data solutions to facilitate reporting to external partners and will ensure the highest standards of data accuracy, reliability, and security
• Help instill a 'data driven'/'data informed' culture:
  • Shepherd our Metrics and Data Documentation wiki
  • Train team members on data skills and tooling

WHAT YOU BRING:

• 6+ years experience in analytics engineering / data engineering or data warehousing; or in a business intelligence field with a strong emphasis on data modeling and pipeline work. Preference for experience in a consumer-facing internet business or edtech setting.
• Advanced SQL skills (window functions, creating UDFs, DML/DDL commands, etc.)
• Proficiency in writing and maintaining data pipelines and data quality monitors in a workflow management tool for productionized solutions, with source control and code review.
• Proficiency in computer science and software engineering fundamentals, including at least one scripting language (e.g., Python)
• Experience across the entire data lifecycle: instrumentation, logging, data modeling, ETL, Business Intelligence, and visualization tools.

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team extremely well

• Competitive salaries
• Ample paid time off as needed – Your well-being is a priority.
• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
• Generous parental leave
• An exceptional team that trusts you and gives you the freedom to do your best
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Opportunities to connect through affinity, ally, and social groups
• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

The target salary range for this position is $137,871 - $152,000 USD / $172,339 - $190,000 CAD. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate's relevant skills, experience, qualifications, and job market data. Exceptional performers in this role who make an outsized contribution can make well in excess of this range. Additional incentives are provided as part of the complete total rewards package in addition to comprehensive medical and other benefits.

MORE ABOUT US

• Sal's TED talk from 2011
• Sal's TED talk from 2015
• Sal's TED talk from 2023
• Our team:

OUR COMPANY VALUES

Live & breathe learners

We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.

Take a stand

As a company, we have conviction in our aspirational point of view of how education will evolve, and we aren't afraid to take bold bets to invent the future we want to see. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.

Embrace diverse perspectives

We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.

Work responsibly and sustainably

We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.

Bring out the joy

We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.

Cultivate learning mindset

We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren't afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.

Deliver wow

We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on, while at the same time, we don't let perfect be the enemy of the good.We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.