Senior Analytics Engineer
Job Summary
Job Description
As a Senior Analytics Engineer at Super.com, you'll build and maintain the data infrastructure primarily supporting the finance department. Responsibilities include data ingestion, cleaning, organization, reporting, and ensuring high data quality and availability. You will collaborate with business, engineering, and analytics teams, lead data projects from inception to reporting, and promote strong data engineering best practices within the organization. You will also play a key role in shaping the company's overall data model and strategy.
Must have:
- 3+ years experience as analytics engineer or full-stack data analyst
- Proficient in SQL (performant code)
- Data modeling expert; designed schemas using dbt
- Experience with data warehouses and modern data stack
- Project delivery experience; datasets driving key business outcomes
- Build ELT/reverse ETL pipelines; Airflow (DAGs) using Python
- Data governance, quality testing, and documentation experience
- Excellent communication; liaison between Business, Engineering, and Analytics
Good to have:
- Experience in accounting or finance
3 skills required
Job Details
About Super.com
We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.
We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.
About the Role
We are looking for a Senior Analytics Engineer to join our growing Data & Analytics team! As a Sr. Analytics Engineer at Super.com, you will evolve our foundational data infrastructure to primarily support our finance department. You will own the analytics infrastructure for these products end-to-end -- from data ingestion, to reporting, to activation -- ensuring high data quality and availability for our data sets. You will work with the business, engineering, and analytics teams to lay the foundation for effective reporting and analysis needed to scale up these ventures. As a senior member of the team, you’ll promote strong standards throughout the organization and help level-up team members through the adoption of software engineering best-practices.
Key Challenges
- Data-Driven Culture: You will be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making
- Data Management: You will ingest, clean and organize raw data in a way that makes sense for both you and the team
- Project Management: You will lead data projects from ingestion to reporting, showing your experience to oversee, scope, and work with ambiguity, making uncertainty certain
- Collaborative Actualization: You will liaise between Business, Engineering, and Data to translate business requirements into proper data capture and schema design
- Data Strategy: You will help shape the data model at Super, which will advance our broader analytics strategy and build trust within the organization
- Teamwork: You will work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes
About You
- 3+ years of work experience as an analytics engineer or full stack data analyst
- You are experienced in SQL, with an emphasis on writing performant code
- You are a data modelling expert, and have designed schemas before at previous organizations, ideally using dbt
- You have a strong comprehension of data warehouses and the modern data stack
- You have a track record of delivering projects, including datasets that were used to drive key business outcomes
- You can self-serve by building ELT pipelines and reverse ETL pipelines using off-the-shelf tools, or simple DAGs in Airflow leveraging python.
- You have experience leveraging tools for data governance, data quality testing, and documentation
- You can clearly communicate about technical subjects to non-technical people, and behave as a liaison between Business, Engineering, and Analytics
- Ideal but not required: You have experience in accounting or finance
We Believe in Equal Opportunity
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner.
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