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greenhouse

Data & Analytics Co-op

Later
Boston, USA
Mid
Onsite
$21 / hour
Discovered 2 weeks ago
SQLCommunicationPython

Full Job Posting

About the role:

The Data & Analytics team is looking to change the game when it comes to Analytics for Later. We are implementing new techniques with a strong AI backing while still meeting the needs of a rapidly changing organization. We're looking for a Data & Analytics Co-op to support Later's Data & Analytics team, working day-to-day with a Senior Analyst who will manage your ramp and workload. You'll work with the team to enhance and evolve our data & analytics assets, effectively supporting teams across Later.

What you'll be doing:

Analytics Support

Help build and maintain data sources, reports, and dashboards leveraging tools like BigQuery, dbt, and vibe code applications

Partner with the Senior Analyst to prioritize and develop a scalable approach to Analytics tools

Pull, validate, and structure data sets for ad hoc analysis

Creatively approach business and client questions and how to measure business impact

Data Quality & Collaboration

Review data for accuracy and completeness before it reaches stakeholders

Setting up guardrails to automate awareness of any known data gaps

Flag and help resolve data quality issues

Communicate findings & impact clearly to the Senior Analyst and broader team

What success looks like:

Collaborate closely with our Analytics team and core Later stakeholders, building relationship and process together

Develop ownership of at least one reporting area, end to end, and can independently troubleshoot & solution common data anomalies

By the end of the term, you've built or improved at least one dashboard or process the team relies on

What you bring:

  • We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!
  • Currently pursuing a degree in Statistics, Data Science, Computer Science, Economics, Math, or a related technical field
  • Experience working in BigQuery or a comparable SQL-based data warehouse
  • Comfort reviewing and validating data sets for accuracy
  • Clear written and verbal communication skills, comfortable with non-technical stakeholders
  • Exposure to R, Python, dbt, Omni or Domo is a plus
  • Our approach to compensation:
  • Salary Range: $21 per hour
  • please note co-ops are not eligible for company benefits

Where we work:

We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.

Diversity, inclusion, and accessibility:

At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Qualifications

  • We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!
  • Currently pursuing a degree in Statistics, Data Science, Computer Science, Economics, Math, or a related technical field
  • Experience working in BigQuery or a comparable SQL-based data warehouse
  • Comfort reviewing and validating data sets for accuracy
  • Clear written and verbal communication skills, comfortable with non-technical stakeholders
  • Salary Range: $21 per hour
  • please note co-ops are not eligible for company benefits
  • We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
  • At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
  • We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Preferred Qualifications

  • Exposure to R, Python, dbt, Omni or Domo is a plus

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