Analytics Engineer
Remote
Applications have closed
Springboard
Springboard's mentor-led online programs are guaranteed to get you hired. Learn data science, UI/UX, and coding by building real-world projects.The Company At Springboard, we’re on a mission to bridge the world’s skills gap, offering career-change, online education in data science, machine learning, UI/UX design, coding, and cyber security. Our courses may be tech-enabled, but we're ultimately human-centric: each student taps into a vast community throughout their time with us, engaging with fellow students, industry-expert mentors, student advisors, and career coaches -- our end goal being to successfully help students transition into their dream jobs in new careers. Through this hybrid approach, we’ve helped thousands of learners revamp their careers and, by extension, their lives, with hundreds of top-notch job offers received by our students every year. We’re an analytical and data-driven, empathetic and supportive, well-funded series B company with ~200 employees.
The OpportunityWe are looking for a passionate and driven Analytics Engineer for our new, quickly expanding, centralized data team. This person will work with a team of high-performing analysts, engineers, and cross-functional growth teams to build and enhance our data ecosystem. You will apply software engineering best practices to the production and maintenance of analytics code to clean and transform raw data into consumable information and business logic. You’ll have total ownership over various ETL tools, data models and warehouses, and a core segment of our BI reporting. Our main technology stack currently includes Segment, Google BigQuery, dbt, and Looker.
You will be responsible for constructing end-to-end data pipelines, building data products within our quickly evolving data marts, ensuring data governance, remediating data quality issues, performing exploratory data analysis, and helping to support analysts and business stakeholders to streamline delivery of insights from our data. Your work maintaining and improving our infrastructure and architecture will support analysts working across all functions, in both growth and student success.
Responsibilities
- Contribute high quality, documented, and tested code to our data pipeline repository, including novel and refactored dbt models and Looker explores
- Perform analysis to assess data quality issues and business logic definitions
- Provide ongoing support and perform root cause analysis for troubleshooting data related issues
- Collaborate with developers, engineers, and department leaders to identify process improvement opportunities, propose system modifications, and devise data governance strategies
- Source business requirements from various company functions (Marketing, Sales, Finance, etc.) and translate into detailed requirements
- Prepare documentation for stakeholders to understand the data transformation process, enabling them to take important decisions based on various facts and trends
- Use software automation mechanisms to scale and enhance workflows, while avoiding manual or bespoke methods
- Proactively and constructively question the status quo, influence change within the organization to enable growth
- Uphold our high analytics standards and bring consistency to the codebases and processes you will encounter
You
- Have 3+ years of full-time work experience in analytics and/or business intelligence, as well as building data pipelines
- Can parse abstract and/or convoluted requests and refine them into actionable tasks
- Are skilled at stakeholder management and managing expectations
- Are proficient and comfortable with SQL, including complex aggregations, window functions, and CTEs
- Have experience with Google Bigquery, dbt, and ELT/ETL processes
- Are practiced with data visualization tools and creating mission-critical dashboards to enable functional teams to make decisions [Bonus if you have Looker experience]
- Are accomplished working with Git, working with code repositories (Bitbucket), and setting up test automation
- Enjoy distilling complex analysis into simple to understand representations
Working with us, you’ll enjoy competitive compensation, health insurance coverage (for employees based in California, our base plans are fully covered by Springboard; for employees based outside of California, we offer low-premium coverage), a 401k plan, a generous learning budget, team lunches and snacks, and an opportunity to impact thousands of lives alongside a fun, dedicated and mission-driven team. To learn more about our team and culture, follow us on Instagram @springboardlife!
We are an equal opportunity employer and value diversity at our company. We welcome applications from all backgrounds, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Tags: Architecture BigQuery Bitbucket Business Intelligence Data analysis Data governance Data pipelines Data quality Data visualization EDA ELT Engineering ETL Finance Git Looker Machine Learning Pipelines Security SQL UX
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Insurance Startup environment
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