Analytics Engineer II at 2U

About the job

• At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education at scale. As the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees. Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential.

What We’re Looking For:

• The Analytics Engineer II role is responsible for building, maintaining, and optimising data pipelines, models, and analytics frameworks that drive business insights and decision-making. This analytics engineer role will also provide technical guidance to junior team members. This role will contribute to medium complexity data sets and spans singular product lines and/or functional areas with increased business criticality. The ideal candidate will have strong technical expertise in data manipulation and processing, analytics development, and a passion for uncovering insights through data. They will also be proactive in identifying opportunities to improve data processes and drive the company’s strategic objectives through data-driven solutions.

Responsibilities Include, But Are Not Limited To:

• Technical
  • Cleanse and verify data integrity, enhancing data sources when required
  • Thoroughly test code and adhere to best practices
  • Analyse data to deliver data-driven insights using proven data mining and statistical techniques to produce solutions to business problems
  • Visualise data insights, communicate findings, and engage in data engineering tasks to enhance analytical capabilities
  • Build and optimise data models for analytics and reporting, ensuring accuracy and consistency of data.
  • Collaborate with data engineers and software developers to manage data warehouse architecture, ensure data integrity, and enable seamless integration across systems.
• Management
  • Support and provide technical guidance to junior analysts.
  • Contribute expertise in data architecture, modelling, and analytics by offering guidance on best practices and collaborating with teams to find effective solutions.
• Business
  • Work closely and collaborate with cross-functional teams to define project goals and data requirements for the successful completion of these projects
  • Leverage business knowledge to enhance business performance
  • Help guide business when making technical decisions
  • Ensure alignment of data strategy with business objectives, contributing to the company’s overall data-driven culture.
• Personal
  • Perform research and constantly stay on top of the industry’s trends and insights
  • Engage and proactively seek opportunities for improvement through ongoing learning
  • Self-driven and able to work both independently and as part of a team in a fast-paced environment.

Things That Should Be In Your Background:

• Educational/professional experience with a heavy quantitative, analytical focus.
• Experience in data analysis, data engineering and business intelligence.
• Skilled in SQL with ability to utilise window functions and generate scalable solutions.
• Skilled in R or Python with ability to efficiently and effectively write and debug code.
• Skilled understanding of version control; efficiently create pull requests, collaborate, debug/track issues, document and host code.
• Independently develop moderately complex data models.
• Basic understanding of orchestration/data transformation tools, such as Airflow and DBT.
• Experience with a reporting tool, such as Tableau.

Other Attributes That Will Help You In This Role:

• Manages multiple projects, resolves challenges swiftly, delivers flexible approaches, and values diverse opinions.
• Effectively identifies root causes, generates diverse solutions with benefits and risks, explores various sources for creative ideas, and presents complex problem solutions.
• Sets quarterly goals aligned with team objectives, tracks progress, ensures timely deadlines, communicates proactively, understands downstream impact, and takes personal responsibility for quality and timeliness of work.
• Maintains and builds job knowledge, applies it effectively, demonstrates solid understanding of tools and methodologies, and proactively identifies and recommends improvements.
• Tailors messages for audience understanding, engages respectfully in team meetings, synthesizes thoughts effectively, presents confidently, and actively listens to stakeholders.
• Builds and maintains key stakeholder relationships, listens actively to understand needs thoroughly, and effectively manages expectations, finding middle ground solutions when necessary.