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Haver AnalyticsCompany guide
Updated weekly · Reviewed by the Dataford team

Haver Analytics interview process & guide 2026

Interview difficulty 3.5 / 10Based on 68 interview reports

Everything we know about interviewing at Haver Analytics: the process stage by stage, what each round tests, and reports from candidates who interviewed.

Research AnalystData Analyst
Practice Haver Analytics questionsSee the process

At a glance

3.5/ 10
Interview difficulty 3.5 / 10
Rated by candidates who reported interviewing here. Harder than 4% of companies we track.
2
Role guides
68
Interview reports
12
Topics tracked
5 rounds
  1. 1
    Initial Screening (phone)
  2. 2
    Behavioral questions
  3. 3
    In-person or video interview with team managers
  4. 4
    Practical assessments
  5. 5
    Follow-up timeline
01 · Overview

Interviewing at Haver Analytics

Haver Analytics interviews you with a small, tight loop: an initial phone screen, then an in-person or video conversation with team managers, and it includes practical assessments that test your economics knowledge. Across the reports, the tone is generally relaxed and friendly, with a noticeable emphasis on fit and background alongside technical basics.

What they test most consistently is not open-ended research depth, it is whether you can apply core business and economics fundamentals using practical tooling. Excel is the most prominent topic (percentile 100), and the rest of the economics block is heavy: macroeconomics, economic indicators, economic growth factors, and related coursework alignment. They also probe general programming skills, coding ability, and computer literacy.

Expect interviews to connect your resume and your story to these fundamentals. Resume review and technical communication show up as a soft-skill theme, and availability and shift constraints are explicitly checked. Candidate reports also point to a fast process and a clear follow-up timeline, and difficulty levels reported are mostly easy or medium.

Good to know

You should prepare for economics and Excel basics as practical checks, but also expect the loop to spend real time on fit, your background, and your availability for shift constraints, not only technical depth.

02 · Difficulty and outcomes

How hard is the Haver Analytics interview?

Aggregated from 68 interview experiences
Difficulty mix
Easy62%
Medium37%
Hard2%
Most candidates rate the loop easy, but few walk in cold.
Offer rate
74%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

50 offers across 68 reports with a stated outcome.
Experience sentiment
77%positive
Positive 77%Neutral 17%Negative 6%
03 · The loop

The interview process, end to end

5 rounds · based on 68 candidate reports
  1. 1
    Initial Screening (phone)

    You start with a phone call to assess basic qualifications and fit. Expect questions that cover your background and why you want the role, with some checks touching coding and economic fundamentals based on candidate reports.

    Not specified · fit · basic technical literacy · resume background alignment
  2. 2
    Behavioral questions

    Behavioral questions are reported as part of the process to evaluate your experiences and fit. Prepare to explain your learning path and decisions in a way that ties back to economics basics and the role.

    Not specified · behavioral fit · technical communication · clarity
  3. 3
    In-person or video interview with team managers

    Team managers interview you focusing on technical skills and cultural fit. Candidate reports describe short conversations that ask about company understanding, why you want to join, and basic tool familiarity like Excel, along with availability and shift constraints.

    Not specified · cultural fit · Excel familiarity · availability for shift constraints
  4. 4
    Practical assessments

    You demonstrate economic knowledge through practical assessments. Prepare for questions grounded in macroeconomics, economic indicators, and economic growth factors, since those topics are among the most prominent in the extracted question data.

    Not specified · macroeconomics · economic indicators · economic growth factors
  5. 5
    Follow-up timeline

    After interviews, you receive a clear follow-up timeline as part of the hiring process. Use it to plan your next steps while you wait for the decision.

    Clear timeline provided (exact timing not specified) · process coordination · responsiveness to timeline
04 · Topic breakdown

What Haver Analytics actually tests for

How prominent each skill is across reported loops
100%
Economics (Microeconomics vs Macroeconomics)
96%
Macroeconomics
95%
Economic Indicators
92%
Economic indicators
91%
Excel
91%
Economic Reasoning for Data Context
88%
Economic growth (four factors)
86%
Python
84%
Programming skills (general)
80%
Coursework alignment (economics classes)
78%
Behavioral Interviewing
73%
Technical Screening (Programming Knowledge)
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 Haver Analytics interviewers actually ask that position, the loop structure, and pay by level.

Showing 2 of 2 role guides
Data Analyst
Questions and loop structure
Open guide
Research Analyst
Questions and loop structure
Open guide

Real interview experiences

What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.

Research Analyst
06 · Insider tips

What separates offers from rejections

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

Do this

  • Be ready to discuss your background in plain terms, connect it to why you want the role, and walk through your resume clearly during the resume review and behavioral parts.
  • Practice Excel problems and be able to explain what you did and why, since Excel is the most prominent technical topic in the extracted question data.
  • Refresh macroeconomics basics and economic indicators, then practice answering questions that connect them to economic growth factors, since those topics are highly represented.
  • Have a programming fundamentals narrative ready (what you know, what you can do), and be prepared for light coding questions or checks of coding ability and computer literacy.

Avoid this

  • Do not treat this as a pure coding interview. The data shows the biggest weight is Excel plus economics fundamentals, with programming present but not the only focus.
  • Do not ignore availability and shift scheduling. Shift scheduling and availability is a defined topic, and reports show they explicitly confirm scheduling constraints.
  • Do not rely on vague enthusiasm for the company. Reports emphasize fit and product or company understanding questions, so you should be able to describe what you think they do and why you want to join.
  • Do not write your resume review as a list of experiences. The soft-skill theme includes resume review and technical communication, so you need a clear, structured explanation of what you did.
07 · FAQ

Haver Analytics interview FAQ

Answered from real candidate and workplace data
How hard are the interviews here?

Across 68 candidate reports, difficulty is mostly easy (61.9%) and medium (36.5%). Hard is 1.6% and very hard is 0.0%, so you should expect fundamentals and practical application more than extreme challenges.

What is the offer rate?

From the candidate reports provided, the offer rate is 0.0%. The dataset also shows 76.6% positive sentiment, so candidates generally describe the process positively even if the reported offer metric is zero.

What do they actually test the most?

Excel is the top technical topic (percentile 100). The next highest groups are macroeconomics (96), economic indicators (92), and economic growth factors (88), plus general programming and coding ability (84 and 76 respectively).

How long is the interview loop?

The provided data does not list exact total duration or round-by-round timings. Candidate reports indicate a fast process, and one report mentions hearing back within about a week, but the only formal process detail provided is that you receive a clear timeline for follow-up.

Do they do coding, or is it mostly economics and Excel?

Both show up, but Excel and economics are dominant. The topics list includes programming skills, coding ability, and computer literacy, yet the highly prominent technical areas are Excel and economics fundamentals. Practical assessments also emphasize economic knowledge.

Should I re-apply if I get rejected?

The supplied data does not mention re-application rules or guidance. If you are asking because of fit or availability mismatches, focus your next attempt on improving fit alignment and any availability gaps that were checked during prior interviews.

08 · Keep prepping

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