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Interview Guides/Oak Street Health
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Oak Street HealthCompany guide
Updated weekly · Reviewed by the Dataford team

Oak Street Health interview process & guide 2026

Interview difficulty 4.1 / 10Based on 290 interview reports

Everything we know about interviewing at Oak Street Health: the process stage by stage, what each round tests, and compensation by level.

Account ExecutiveSoftware EngineerBusiness AnalystData EngineerProduct ManagerData Analyst
Practice Oak Street Health questionsSee the process

At a glance

4.1/ 10
Interview difficulty 4.1 / 10
Rated by candidates who reported interviewing here. Harder than 18% of companies we track.
10
Role guides
290
Interview reports
12
Topics tracked
$63k
Median total comp
4 rounds
  1. 1
    Initial Screening
  2. 2
    Technical Interviews and Assessments
  3. 3
    Stakeholder Discussions and Case Studies
  4. 4
    Final Interviews or Final Discussions
01 · Overview

Interviewing at Oak Street Health

You can expect a loop built around technical evaluation plus collaboration and communication. Across roles, interview topics consistently emphasize Business Analysis (Technical Skills), PySpark, .NET (C#), and SQL, with communication and expectations management also showing up prominently.

What you are really being tested on is your ability to translate requirements into data work, then demonstrate practical analytical skill using SQL, interpret results, and reason about how data moves through systems. The topic mix also shows data flow and architecture, including REST APIs and data engineering architecture, plus analytics thinking and clear communication.

The process includes initial screening, technical interviews, stakeholder discussions, and case work, with final conversations near the end. Candidate reports indicate feedback is typically provided within a week, but offer rate in the dataset is 0.0%, so the data you have here is about what is asked, not how frequently offers are made.

Good to know

SQL, PySpark, and data flow or architecture show up as top topics across the guides, so you should prepare to connect your SQL and analytics work to end to end data flow and how services expose it, then communicate your reasoning clearly.

02 · Difficulty and outcomes

How hard is the Oak Street Health interview?

Aggregated from 290 interview experiences
Difficulty mix
Easy43%
Medium53%
Hard5%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
60%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

173 offers across 290 reports with a stated outcome.
Experience sentiment
57%positive
Positive 57%Neutral 16%Negative 27%
Reports by year
36
54
49
27
15
20222023202420252026
By interview date. The current year is partial.
03 · The loop

The interview process, end to end

4 rounds · based on 290 candidate reports
  1. 1
    Initial Screening

    You start with an initial assessment to evaluate basic qualifications and role fit. Prepare to discuss your background and align it to the role, but the dataset does not list specific question content for this step.

    not specified · qualification fit · role alignment · communication
  2. 2
    Technical Interviews and Assessments

    You undergo technical interviews that include SQL-based questions and assessments of analytical skills. The broader technical topic mix across roles highlights Business Analysis (Technical Skills), SQL, PySpark, and also system design related themes like data flow architecture and REST APIs.

    not specified · SQL · analytical skills · PySpark
  3. 3
    Stakeholder Discussions and Case Studies

    You may meet stakeholders and team members to assess collaboration and communication. You may also complete case studies or scenario based discussions to evaluate analytical and problem-solving abilities.

    not specified · communication clarity · collaboration · problem solving
  4. 4
    Final Interviews or Final Discussions

    The process ends with concluding interviews or final conversations with stakeholders to assess cultural fit and collaboration. Feedback is typically provided within a week after the interviews.

    not specified · cultural fit · stakeholder communication · clarity and responsiveness
04 · Topic breakdown

What Oak Street Health actually tests for

How prominent each skill is across reported loops
100%
Business Analysis (BA)
100%
PySpark
100%
SQL (Technical Interview)
100%
.NET (C#)
100%
Product Management
100%
QA Engineering
100%
Coding Component (DS Interviews)
100%
Behavioral interview techniques
77%
Stakeholder Management
68%
Cross-Functional Collaboration
62%
Automation Testing
26%
Data Modeling
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Oak Street Health interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Account Executive
8 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Software Engineer
6 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Business Analyst
$44k-$83k total comp
Real questions · Loop structure · Pay bands
Open the guide
Showing 10 of 10 role guides
Data Analyst
Questions and loop structure
Open guide
Data Engineer
Questions and loop structure
Open guide
Data Scientist
Questions and loop structure
Open guide
Marketing Analytics Specialist
Questions and loop structure
Open guide
Operations Manager
Questions and loop structure
Open guide
Product Manager
Questions and loop structure
Open guide
QA Engineer
Questions and loop structure
Open guide
06 · Compensation

What Oak Street Health pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $63k
Level$0kTotal comp range$100kTotal
All levels
Base $44k-$83k
$44k-$83k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Prioritize SQL and SQL querying practice with interpretation, not just writing queries. The topics include both SQL querying and data interpretation, so explain what your result means and what you would verify next.
  • Be ready for data flow and architecture questions. Prepare to describe how data moves through a pipeline or system, and how REST APIs fit into that picture.
  • Demonstrate analytics thinking alongside technical skills. The topic list explicitly includes analytics thinking, so structure answers around the question, assumptions, and tradeoffs in addition to correctness.
  • During stakeholder discussions, focus on clarity and expectations management. Communication and expectations management are prominent topics, so you should be direct about constraints, timelines, and what success looks like.

Avoid this

  • Do not treat technical answers as purely mechanical. Data interpretation and analytics thinking are top topics, so if you only show code or steps without interpreting outcomes, you will miss what is assessed.
  • Do not give disconnected SQL or pipeline answers. Data flow architecture and data engineering architecture appear alongside SQL and PySpark, so connect the dots between transformations, storage or outputs, and how they are consumed.
  • Do not ignore communication during non-technical parts. Communication and clarity appear as prominent topics, and stakeholder discussions are part of the reported process steps.
  • Do not rely on success metrics from this dataset. The reported offer rate is 0.0%, so what matters here is preparing for the topic mix and interview formats, not expecting outcomes based on these reports.
08 · FAQ

Oak Street Health interview FAQ

Answered from real candidate and workplace data
What are the most important technical topics to prepare for?

The extracted topic data shows very high prominence for Business Analysis, PySpark, .NET (C#), and SQL, plus data interpretation and analytics thinking. It also includes system design themes like data flow architecture, REST APIs, and data engineering architecture.

Do they do live coding or a coding assessment?

The process steps include a Coding Assessment reported by one role, and the broader technical interviews include SQL-based questions and assessments of analytical skills. The dataset does not specify whether coding is always live, so be ready for a SQL-focused coding or assessment style.

How many rounds are there and what happens first?

Reported process steps include initial screening first, then a mix that can include technical interviews, stakeholder discussions, and case studies, followed by final interviews or final discussions. The dataset does not provide a fixed number of rounds across roles.

How long does the process take?

The provided data does not include a total end to end timeline. It only states that feedback is typically provided within a week.

How hard are the interviews?

Across candidate reports, difficulties skew easy (43.8%) and medium (51.8%), with fewer candidates reporting hard (3.3%) or very hard (1.1%). You should still prepare thoroughly for the top topics because they are prominent in the question data.

What are my chances of getting an offer?

In the provided dataset, the offer rate is reported as 0.0%. This is not explained in the data you shared, so use it only as a limitation of the dataset, and focus on preparing for the question topics and interview formats.

09 · Keep prepping

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