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Amazon SDE Intern vs DA Intern OA: Dual-Track Question Map and VO Comparison

2026-06-02

Amazon hires more interns globally than almost any other tech company, but most candidates miss that SDE Intern and DA (Data Analyst) Intern run on two completely different OA + VO pipelines. Same amazon.jobs portal, same resume - the SDE pipeline is Work Simulation + Coding + Workstyle + Debug, while the DA pipeline swaps in SQL Lab + Statistics MCQ + Case Study. Studying for SDE while interviewing for DA (or vice versa) almost always produces a bad result.

This article compares the two tracks module by module, with a representative real question and solution per track. By the end you should be able to answer two things:

  1. Which track does my current resume actually fit?
  2. What should I drill in each phase, and where does each track usually filter people out?

Same Entry, Different Funnel

Dimension SDE Intern DA Intern
Application portal amazon.jobs / campus events amazon.jobs / campus events
Teams AWS / Alexa / Retail / Ads Finance / FBA / Marketing Analytics
OA platform HackerRank + proprietary HackerRank + proprietary
OA modules Work Simulation + 2 Coding + Workstyle + Debug SQL Lab + Stats MCQ + Case Study + Workstyle
VO rounds 3-4 rounds: algorithm + LP x2 + System Design Lite 3-4 rounds: SQL + Case Study + LP x2
Decisive skill Algorithms + LP narrative SQL speed + business intuition + LP narrative

One-line summary: SDE evaluates code fundamentals plus LP, DA evaluates SQL speed plus business reasoning plus LP. LP is the only common denominator.

SDE Intern OA: Four Modules

Module 1: Work Simulation

Simulates a workday packed with emails, meetings, and decisions. The format is multiple choice and probes prioritization under pressure, customer obsession, and data-driven thinking. Common traps:

Module 2: Coding (Representative: Sum of Skills team assignment)

Given an array of N employees with skill values, split them into groups of size K such that the variance of group skill totals is minimized.

Approach: sort and pair greedily - pair the strongest with the weakest, second strongest with second weakest, and so on.

def team_assignment(skills, K):
    skills.sort()
    n = len(skills)
    teams = []
    i, j = 0, n - 1
    while i < j:
        team = []
        while len(team) < K and i <= j:
            team.append(skills[j]); j -= 1
            if len(team) < K and i <= j:
                team.append(skills[i]); i += 1
        teams.append(team)
    return teams

Time complexity: O(N log N), dominated by the sort. Follow-up: if the prompt becomes "make every group's skill sum equal to a target," it collapses into multi-knapsack - mind the data size.

Module 3: Workstyle Survey

No right or wrong answers, but internal consistency is scored. Tips:

Module 4: Debug

About 15 minutes. You receive a small program with 5-7 bugs and must fix them. Common bug families:

DA Intern OA: Four Modules

Module 1: SQL Lab (Representative: cohort retention)

Given orders(user_id, order_date, amount), compute monthly new-user retention over the next 3 months.

WITH first_order AS (
  SELECT user_id, MIN(order_date) AS first_dt
  FROM orders
  GROUP BY user_id
),
cohort AS (
  SELECT
    DATE_TRUNC('month', first_dt) AS cohort_month,
    user_id
  FROM first_order
)
SELECT
  c.cohort_month,
  COUNT(DISTINCT c.user_id) AS new_users,
  COUNT(DISTINCT CASE
    WHEN o.order_date BETWEEN c.cohort_month + INTERVAL '1 month'
                      AND c.cohort_month + INTERVAL '3 month'
    THEN o.user_id END) AS retained_users
FROM cohort c
LEFT JOIN orders o USING (user_id)
GROUP BY c.cohort_month
ORDER BY c.cohort_month;

Key points:

Module 2: Statistics MCQ

10-15 multiple choice items covering:

Trap: options often equate "statistically significant" with "business significant." Wrong.

Module 3: Case Study

Business prompts. Common archetypes:

Answer skeleton (SDE-W: Segment / Drill / Experiment / Wrap):

  1. Segment: by category, region, customer segment
  2. Drill: find anomalous subset
  3. Experiment: design A/B to verify
  4. Wrap: one-sentence stakeholder conclusion

Module 4: Workstyle - same as SDE.

VO Loop Comparison

Round SDE Intern DA Intern
1 LP x2 + Coding Easy LP x2 + SQL x1
2 Coding Medium + LP x1 SQL Hard + Case Study
3 System Design Lite + LP x1 Case Study + LP x2
4 (some teams) Bar Raiser: full LP Bar Raiser: full LP

Bar Raiser is identical for both tracks - LP-driven, 5-6 stories, each story drillable into specific behaviors.

Preparation Roadmap Comparison

Dimension SDE Intern DA Intern
Primary platform LeetCode (Amazon tag) LeetCode SQL + StrataScratch
Practice volume 200+ problems SQL 100 + stats 50
Stories needed 6-8 LP stories 6-8 LP stories
Mock interviews Karat / Pramp DataLemur / alumni mocks

Three-Week Cadence (SDE)

  1. Week 1: LeetCode Amazon tag, top 50 mediums
  2. Week 2: 10 hard coding problems plus the P-A-S system design template
  3. Week 3: LP story polishing plus 2 Karat mocks

Three-Week Cadence (DA)

  1. Week 1: StrataScratch Amazon SQL top 50
  2. Week 2: An A/B Testing textbook plus 3 case study sets
  3. Week 3: LP stories plus 2 DataLemur mocks

FAQ

Q1: I applied to both SDE and DA Intern - which OA do I get? Recruiters route based on the "primary tone" of your resume. If both signals are strong, the JD you clicked through wins - that track sends the OA.

Q2: Is DA Intern SQL easier than SDE Coding? No. DA SQL Hard often layers window functions inside CTEs, and 80 minutes for 4 problems is tighter than LeetCode's 60-minutes-for-2 cadence.

Q3: Does Workstyle Survey filter candidates? Not on its own, but combined with weak OA performance it can become a tiebreaker. Stay consistent and avoid extreme picks.

Q4: Is the Bar Raiser at OA or Onsite? Onsite. There is no Bar Raiser at OA. The Bar Raiser is a cross-team senior with veto power in the final loop.

Q5: If OA is mediocre, can I still get to VO? SDE leans on coding; VO ordering tracks OA scores. DA evaluates SQL plus case study together. Referrals plus resume highlights help, but treat OA as the primary gate either way.

Preparing for Amazon Intern OA / VO?

If you have an OA link but the Work Simulation prioritization is uncertain, you cannot finish 4 SQL problems in 80 minutes, or you want a real person doing VO proxy / VO assist on Bar Raiser day, we can talk through a complete OA proxy / VO assist / VO proxy plan.

Contact

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