Data & Analytics Co-op
Role Overview
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
Key Skills for This Role
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
About Later
Private influencer marketing and social media management company serving brands, agencies, and creators.
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