NoRedInk-posted 6 days ago
Full-time • Mid Level
Atlanta, GA
101-250 employees

Teaching kids to think critically and communicate effectively has never been more important, and NoRedInk helps students become better writers in more than 60% of U.S. school districts . We are looking for a highly analytical and detail-oriented Data Analyst to join our team as a full-time contractor. In this role, you will partner closely with departments across the company including Sales, Customer Success, Product, and Leadership to deliver high-quality analytics, reporting, and insights that drive strategic and operational decision-making across the company. You’ll work within our modern data stack including Snowflake, dbt, and Sigma, to transform raw data into trusted dashboards, ad-hoc analyses, and actionable recommendations. This is a hands-on role that requires strong SQL skills, excellent communication, and the ability to juggle multiple requests at once.

  • Serve as the primary analytics partner for cross-functional stakeholders (Sales, CS, Product, Operations, Leadership).
  • Create, maintain, and improve Sigma dashboards, reports, and deep-dive analyses.
  • Develop and optimize SQL queries and transformations in Snowflake.
  • Translate ambiguous business questions into clear analytical frameworks and data requirements.
  • Conduct exploratory data analysis and root-cause investigations.
  • Build and maintain metric definitions and data documentation.
  • Ensure data integrity, accuracy, and consistency across dashboards and analytical workflows.
  • Prioritize incoming data requests and manage expectations with stakeholders.
  • Identify trends, patterns, and opportunities to improve business performance.
  • Support experimentation and product analytics (e.g., usage patterns, cohort analysis).
  • 3–5+ years of experience as a data analyst, BI analyst, product analyst, or similar role.
  • Strong proficiency in SQL (Snowflake experience strongly preferred).
  • Hands-on experience with dbt and modern ELT/analytics engineering best practices.
  • Strong experience with BI tools; Sigma experience a major plus.
  • Ability to translate business questions into technical requirements and analytical outputs.
  • Experience supporting cross-functional stakeholders (Sales, CS, Product highly preferred).
  • High attention to detail and strong data quality mindset.
  • Excellent written and verbal communication skills.
  • Strong prioritization skills and ability to manage multiple workstreams independently.
  • Comfort working in a fast-paced, high-growth B2B SaaS environment.
  • Experience with product analytics tools (e.g., Amplitude, Mixpanel, Heap).
  • Experience with forecasting, propensity modeling, or other statistical techniques.
  • Prior work in early-stage or mid-stage SaaS startups.
  • Basic familiarity with Python or R for advanced analysis.
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