Analytics Engineer

Spreedly

150d

About The Position

The Analytics Engineer will sit at the crossroads of Spreedly's business teams, Data Engineering, and Business Intelligence and be responsible for bringing robust, efficient, and integrated data models to life. A successful candidate for this role can speak the language of business teams and technical teams, and is able to translate data insights and analysis needs into models powered by Spreedly’s data pipeline and platform. This role will blend business acumen with technical expertise and transition between business strategy and data development, working alongside self-starters interested in solving real-world problems and in streamlining our internal capacity to simplify a complex environment with billions of data points.

Requirements

• 5+ years of proven experience in the data space as an analyst or analytics engineer.
• 5+ years designing and implementing commercial enterprise dimensional models and working with large-scale (1B+ rows) cloud data warehouses.
• Expertise with SQL, including advanced techniques (ex. window functions, common table expressions, UDFs, etc.) for data investigation and analysis.
• Experience with data visualization in Tableau.
• Solid project management skills, including planning work, managing details, and navigating ambiguity to deliver results with cross-functional stakeholders.
• Enthusiasm for conducting reproducible analysis, including code reviews, version control, and robust documentation.

Nice To Haves

• Experience with dbt and Snowflake.
• Experience with Fivetran.
• Experience in a B2B SaaS or fintech environment.

Responsibilities

• Collaborate and Advise: Partner with business teams and stakeholders to collect requirements, define analytics outcomes, and build foundational data models and dashboards. You'll serve as a data modeling and visualization expert, assisting all teams by delivering high-impact dashboards built on scalable data models.
• Develop and Maintain Data Models: Design and develop in dbt in a repeatable and scalable way to advance our data maturity. This includes ensuring a single source of truth, keeping data sources fresh as requirements evolve, and maintaining our data dictionary.
• Ensure Quality and Governance: Write SQL that meets internal standards for structure and quality. You'll maintain these standards through code reviews and peer-reviewing database and data model schema changes.
• Empower Stakeholders: Encourage internal adoption and self-sufficiency of stakeholders in Tableau through documentation, training, and dashboard organization.

Benefits

• Competitive salary + Equity
• Outstanding Medical and Dental benefits, including 100% employer-paid options
• Company-paid Life and Disability insurance
• Optional vision and supplemental insurance options, and various Flexible Spending Accounts (FSA)
• Open Paid Time Off policy + 12 weeks of paid leave for new parents
• Matching 401(k) plan (5% up to $5,000 yearly)
• $1,000 annual professional development stipend
• Monthly home working/digital lifestyle stipend, new MacBook, and one-time accessory reimbursement
• Access to company-paid professional coaching service
• Visits to HQ in Durham, North Carolina for remote employees

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees