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Applied Statistics Entry Level Jobs (NOW HIRING)

Responsibilities This entry-level data science role supports the development of analytical tools ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

The Data Analyst I performs entry-level data analysis and data research work. Works under close ... YOU WILL BE TRUSTED TO: - Analyze data using standard statistical tools, methods and techniques ...

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

This entry-level data science role supports the development of analytical tools and workflows that ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

Responsibilities This entry-level data science role supports the development of analytical tools ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

... statistical tools (e.g., SPC charts) to identify trends and support problem-solving. 6 ... Basic Qualifications -Associate's degree in Engineering, Quality Management, Applied Science, or ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... If you applied for a job and got emails from our job placement program team please email them or ...

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Applied Statistics Entry Level information

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How much do applied statistics entry level jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for applied statistics entry level in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Statistics Entry Level professional, and why are they important?

To thrive as an Applied Statistics Entry Level professional, a strong foundation in statistical theory, data analysis, and mathematics is essential, typically supported by a bachelor’s degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS and proficiency in Excel are commonly required technical skills. Attention to detail, problem-solving abilities, and effective communication help individuals stand out by enabling them to interpret data and convey findings to non-technical stakeholders. These skills are crucial for ensuring accurate data analysis, supporting decision-making, and driving actionable insights in various industries.

What is the difference between Applied Statistics Entry Level vs Data Analyst?

AspectApplied Statistics Entry LevelData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academic, or corporate settingsCorporate, finance, healthcare, or tech industries
Employer UsageAcademic institutions, research firms, some corporationsBusiness, marketing, healthcare, finance sectors
Common Search IntentEntry-level statistics roles, foundational data workData analysis, reporting, data visualization tasks

Applied Statistics Entry Level roles focus on foundational statistical methods and data collection, often in research or academic settings. Data Analysts typically perform data cleaning, analysis, and visualization in business environments. While both roles require similar educational backgrounds, Data Analysts tend to work more with business tools and software, making them more industry-oriented. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some typical projects or tasks an entry-level applied statistician can expect to work on in their first year?

As an entry-level applied statistician, you will likely support senior statisticians by cleaning and organizing data, conducting exploratory data analysis, and applying basic statistical methods to real-world datasets. You may also assist in designing surveys or experiments, preparing reports, and presenting findings to team members from non-statistical backgrounds. Collaboration with data scientists, analysts, and subject matter experts is common, providing valuable exposure to cross-functional teamwork and practical problem-solving within your industry.

What are applied statistics entry level jobs?

Applied statistics entry level jobs involve using statistical methods and data analysis techniques to solve real-world problems in various fields such as business, healthcare, government, and research. Individuals in these roles typically collect, analyze, and interpret data to provide actionable insights or support decision-making. Common positions include data analyst, statistical assistant, and research analyst. Entry-level professionals usually work under the supervision of senior statisticians or data scientists and may use tools like Excel, R, or Python. These roles are ideal for graduates with a background in statistics, mathematics, or a related field.
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Global Opportunity - Business Systems Analyst & Developer

Leyton

Chicago, IL

Other

Posted 2 days ago


Job description

Leyton is an international consulting group with country business units across Europe (Italy, Spain, Germany, Poland, Sweden, France, the UK) and a centralized engineering team in Casablanca. We help thousands of clients capture value through specialized advisory work. We are now industrializing AI agents and automation as a core capability inside every country BU — and we are building the team that does it.

The Transformation Office sits at group level and partners with each country business to ship automation that materially shifts the operating model. We hire one Business Systems Analyst & Developer per country, and we want this person to sit next to a P&L owner.


NOTE: This is a global opportunity, with positions available across multiple international locations !


KEY RESPONSIBILITIES


This is a single-country role. You own one country's automation backlog end-to-end; you do not rotate, and you do not own work across countries.

You sit inside one of Leyton's European country business units, immediately next to the country CEO and the BU leadership team. You walk each business line end-to-end with the responsible Business Partner or consultant, identify the workflow seams where a human can be substituted by an agent, and ship the automation. You prototype with Claude Code and the group platform stack; you hand to the Casablanca dev team for production; you move to the next workflow.

PoCs in days. MVPs in two to six weeks. You are the single point of contact for all automation projects in the country BU — the bridge between business need and shipped product.

This role exists for the profile the joint Booth MBA / MS Applied Data Science program was designed to produce: someone who can read both a P&L and a training loop, who can run an ops meeting in the morning and spec an agent system in the afternoon. The role is structurally calibrated for that profile — there is nowhere we lose your business range and nowhere we lose your technical range.

1. Embedded business discovery (Approximately 50%)

  • Sit next to the country BU Director.
  • Physically attend client visits, sales meetings, and internal ops sessions.
  • Shadow the workflow, document the current process, identify the substitution seams.
  • Translate ambiguous business needs into shippable scope: PRD-light, target outcomes, success metrics, acceptance criteria.
  • Build and maintain the country automation backlog — scored by economic impact × difficulty × strategic fit — and own the prioritization conversation with country leadership.
  • Bi-monthly readout to the country CEO and the Transformation Office on backlog progress and business impact.

2. Build and hand off (Approximately 40%)

  • Prototype each workflow in Claude Code and the group stack (LLM agents, MCP servers, retrieval, n8n, internal APIs).
  • Write the technical spec, runbook, and acceptance criteria before each Casablanca handoff.
  • Coordinate the handoff workshop and stay on call for ~30 days post-handoff to defend design intent.
  • Re-use group-level patterns from peer-country BSAs; surface your own reusable patterns back to the group.
  • Light maintenance only — production lives with Casablanca.

3. Coordination and cross-country (Approximately 10%)

  • Weekly sync with peer-country BSAs (Italy, Spain, Germany, Poland, Sweden, France, UK) to share patterns, flag reusable components, and escalate blockers.
  • Quarterly strategic review with the Head of the Transformation Office on direction and group priorities.
  • Monthly readout to the country CEO on country-specific business impact.


REQUIRED SKILLS & QUALIFICATIONS


Background:

  • Joint MBA / MS in Applied

Data Science (Chicago Booth

+ UChicago DSI)

  • Pre-MBA experience in technology, consulting, product, engineering, or a quantitative operating role
  • Technical fluency across applied ML, statistics, data engineering, and at least one of: time series, NLP, applied LLM work, computer vision
  • Demonstrated business judgement — you can read a P&L, run an ops meeting, brief a CEO, and own a prioritization call
  • Willingness to relocate to Europe and embed inside a country business; EU work eligibility, or willingness to navigate the visa process with us


Education:

A graduating joint Booth MBA / MS Applied Data Science student who wants to operate as the translation layer between AI capability and country-level business outcomes. You chose the dual program because you refuse to pick a side; this role is calibrated for exactly that choice.


COMPETENCIES:


TECHNICAL

  • Claude Code as daily substrate. Comfortable prototyping a full backend + frontend MVP using AI-assisted development. You are not expected to write production code; Claude Code plus the Casablanca dev team are the substrate.
  • LLM agent orchestration. Prompt engineering, retrieval (RAG), tool use, MCP servers, multi-step agent flows. You should be able to spec an agent system end-to-end on day one.
  • Coding fluency. Read and write Python and TypeScript well enough to ship and debug an MVP. Comfortable with Git, APIs, and basic databases (Postgres / Mongo).
  • Workflow architecture. Decompose a messy human process into discrete, automatable steps with clear handoffs and decision branches.
  • No-code / low-code awareness. Familiarity with n8n, Zapier-class tools, or equivalent.
  • Business applications. Excel, PowerPoint, Salesforce, Jira / Confluence at working level.
  • Data analysis. Pull raw data, draw conclusions, present them to a non-technical stakeholder.
  • Documentation. Clean technical specs, runbooks, and acceptance criteria — the Casablanca team should be able to take over without you in the room.


PRODUCT & BUSINESS

  • Strong business intuition. Sit in an ops or sales meeting and identify the automation seam within thirty minutes. Translate between business and tech without losing either side. This is the dimension where the Booth side of your training pays off immediately.
  • Voice of the customer. Represent the consultants and Business Partners in front of the Casablanca team, and represent Casablanca's constraints back to the business — including up to the country CEO when needed.
  • Backlog ownership. Maintain a single source of truth for country automation work; prioritize ruthlessly by value × difficulty; defend the priorities with country leadership.
  • MVP discipline. Define the smallest valuable slice and ship it; resist scope creep — including scope creep coming from senior business stakeholders.
  • Agile, iterative delivery. Scrum / Kanban concepts; short feedback loops; comfortable shipping rough things to learn.
  • Economic literacy. Reason in terms of consultant hours saved, Business Partner capacity unlocked, and country margin moved — and tie each shipped automation back to one of those.


SOFT SKILLS

  • Collaboration. Work in close partnership with consultants, Business Partners, country leadership, the Casablanca dev team, and peer-country BSAs. Share knowledge generously.
  • Autonomy. Own the country backlog end-to-end. You set the agenda.
  • Time management and prioritization. Multiple workflows in parallel without dropping balls.
  • Rigour. Clean specs, clean handoffs, clean follow-through.
  • Empathy and active listening. Business Partners must trust you enough to show you the real workflow, not the sanitized version. The Booth interpersonal skills training shows up here.
  • No fear of new tools. The toolchain will evolve quarterly; comfort with constant change is mandatory.
  • Creative reasoning. A well-made head that reasons fast. Creativity over years of experience.


What You Will Not Do

  • Write or maintain production code — Casablanca dev team owns this.
  • Manage people — IC role; your peers are the other country BSAs.
  • Cross-country project ownership beyond pattern sharing — one country, deep.
  • Sales or client delivery — you sit next to Business Partners, you do not replace them.
  • Long-running quarter-scale builds — if a workflow cannot be MVP'd in six weeks, re-scope it.


Logistics

  • Location: One of Leyton's European country business units. Italy is the first instance live; Spain, Germany, Poland, Sweden, France, and the UK are next. Placement is matched to country readiness, language fit, and the candidate's strategic interest.
  • Working language: English internally; comfort (or willingness to learn quickly) in the country language is a meaningful plus.
  • Reports to: The country BU Director functionally, with a dotted line to the group Transformation Office.
  • Growth path: This role is the on-ramp to a country Head of Automation seat or a group-level Transformation Office role. For candidates with the right business chops, the path also opens toward a country operating / GM track.