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Affirm·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jul 2026

Summary

Interviewed for a Data Engineer role at Affirm. Just one question from what I can tell, basically a structured self-intro prompt with a project highlight baked in at the end.

Questions Asked (1)

Q1

Give a 1-2 minute self-introduction covering your background, key achievements, SQL and analytics experience, and why you're a good fit. Wrap up with a project you're proud of and the impact it had.

Product Analytics & MetricsStakeholder Management
Author's notes

Classic opener but the project-at-the-end part tripped me up a bit.

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AI HintsAI Generated

Suggested Approach

Structure your introduction as a concise narrative: start with your current role and years of experience, then highlight 1-2 key achievements that demonstrate SQL and analytics impact, and conclude with a specific project that shows your ability to drive business results. Tailor your language to Affirm's focus on product analytics and stakeholder management, emphasizing how you've used data to influence decisions and collaborate cross-functionally.

Pro tip: Quantify your impact wherever possible (e.g., 'improved conversion by 15%') and explicitly connect your SQL/analytics skills to business outcomes, as Affirm values engineers who understand the product and can communicate data insights to non-technical stakeholders.

1. Introduction and Background

Briefly state your current role, years of experience, and core technical skills, focusing on SQL and analytics. Mention your educational background only if relevant.

2. Key Achievements

Highlight 1-2 major accomplishments that showcase your SQL and analytics expertise, such as optimizing a query that reduced runtime by X% or building a dashboard that informed strategic decisions.

3. SQL and Analytics Experience

Describe your hands-on experience with SQL (e.g., complex joins, window functions) and analytics tools (e.g., Python, Tableau), and how you've used them to solve business problems.

4. Why You're a Good Fit

Connect your skills and experiences to Affirm's needs, emphasizing product analytics, metrics, and stakeholder management. Show enthusiasm for Affirm's mission and culture.

5. Proud Project and Impact

Conclude with a specific project you're proud of, detailing your role, the problem solved, and the measurable impact (e.g., increased revenue, improved efficiency).

Key Points to Mention

  • Proficiency in SQL (complex queries, optimization) and analytics tools (e.g., Python, R, Tableau)
  • Experience with product analytics and defining/measuring key metrics (e.g., A/B testing, funnel analysis)
  • Stakeholder management: collaborating with product, engineering, and business teams to drive data-informed decisions
  • Quantifiable achievements (e.g., 'reduced query time by 40%', 'increased conversion by 15%')
  • A specific project that demonstrates end-to-end ownership and impact, ideally related to product analytics
  • Alignment with Affirm's mission and values, showing why you're excited to contribute

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.