2,163 jobs for "Business Analytics Engineer"

People Analytics Full Stack Developer

At Apple - Cork

Posted on Sep 24

View job Apply on company site

GTG Intern - Business Intelligence

At Grainger - Chicago

Posted on Aug 17

View job Apply on company site

Manager of Software Engineering - Data Analytics

At JPMorgan Chase - Jersey City

Posted on Jun 24

View job Apply on company site

Data Engineer, Aladdin Data, Associate

At BlackRock - Mumbai

Posted on Nov 6

View job Apply on company site

Senior Product Associate - Payments

At JPMorgan Chase - Chicago · New York

Posted on Nov 5

View job Apply on company site

Data Engineer III - ETL

At JPMorgan Chase - Jersey City

Posted on Nov 3

View job Apply on company site

Product Manager, Portfolio Construction Solutions

At Fidelity Investments - Merrimack

Posted on Nov 2

View job Apply on company site

IT Engineer Placement

At The TJX Companies, Inc. - Watford

Posted on Oct 29

View job Apply on company site

Vice President, Planning & Program Management (Fixed-term)

At BlackRock

Posted on Oct 28

View job Apply on company site

Senior Account Security Analyst I

At Booking.com - Amsterdam

Posted on Oct 27

View job Apply on company site

Consultant-Data Risk Management

At Deloitte - Boston · Charlotte

Posted on Oct 17

View job Apply on company site

Senior Manager, Liquidity Platform Modernization

At Charles Schwab - Westlake

Posted on Oct 17

View job Apply on company site

Principal Platform Engineer

At Fidelity Investments - Boston

Posted on Oct 16

View job Apply on company site

Treasury Research and Analytics-Associate

At JPMorgan Chase - Bengaluru

Posted on Oct 16

View job Apply on company site

Principal Data Engineer

At Atlassian - Remote / Flexible

Posted on Oct 15

View job Apply on company site

Senior Python Developer

At Charles Schwab - Austin

Posted on Oct 15

View job Apply on company site

Applied AI ML-Vice President

At JPMorgan Chase - New York · Plano

Posted on Oct 3

View job Apply on company site

Senior Talent Advisor

At Cummins - Remote / Flexible

Posted on Sep 30

View job Apply on company site

Software Engineer Associate III - Databricks

At JPMorgan Chase - New York · Jersey City

Posted on Sep 25

View job Apply on company site

Data Science Manager

At USA TODAY Co. - Remote / Flexible

Posted on Sep 19

View job Apply on company site

Apple

People Analytics Full Stack Developer

Cork, IrelandPosted Sep 24, 2026

Apply on company site View full job

At Apple, our greatest resource is our people. The People Analytics team builds the
data products that help Apple's HR organization make decisions with evidence:
measuring how we recruit, develop, listen to and retain employees, and putting that
insight in front of the teams and leaders who act on it. The work is small-team and
high-ownership - the person who models the data is the same person who ships the
dashboard and operates it in production.

Imagine what you could do at Apple.

Description
This role builds and runs analytics products end to end: modeling data in Snowflake,
developing Python web services and APIs, building dashboards that surface actionable
insight, and automating deployment across Linux infrastructure. You will use agentic
AI coding tools such as Claude Code as a primary means of delivery, running parallel
sessions to design, build, test and ship - while holding the standards that generated
code does not: sound architecture, data security, and catching the query that runs
without error and returns the wrong number.","responsibilities":"Design, develop and deploy reports, dashboards and analytics across the employee lifecycle, enabling data-driven decisions for business partners and leadership.
Build and optimize data models, schemas and views in Snowflake and relational databases to support reliable, high-quality analytics products.
Develop and maintain Python backends, APIs and web frontends that power internal people tools and employee-facing applications.
Build and operate ETL and data-refresh pipelines between Snowflake and operational databases, including scheduling, incremental refresh, caching and data-integrity validation.
Automate build, containerization, deployment and configuration management across Linux-based infrastructure.
Deliver engineering work with agentic AI coding tools as the primary development method: scoping and decomposing tasks so several sessions can run in parallel, then reviewing and correcting the generated code before it ships.
Establish and own metric definitions: determine how each measure is calculated, keep the same metric reporting identical wherever it appears, and validate figures against source data before release.
Maintain the technical documentation and codebase context that keep a large reporting estate workable, for colleagues and for AI tooling alike.
Re-engineer existing analytics and reporting systems to improve simplicity, standardization and security, alongside delivering new features.
Partner with People Analytics colleagues and internal technology teams to deliver analytics solutions.
Responding to senior business leaders directly on analytical questions, providing data insights and recommendations to support decision making.

Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Information Management Systems, Data Science, Software Engineering or a related field; or equivalent professional experience.
Familiarity with Python web frameworks such as Flask or FastAPI.
Experience with Python data processing libraries such as NumPy and pandas, and awareness of data science and statistical analysis techniques.
Experience building or operating services that make internal systems available to AI tooling, such as Model Context Protocol (MCP) servers.
Experience delivering on a shared data platform where pipeline changes are centrally owned: scoping a minimal change, evidencing it, and sequencing configuration and code releases.
Experience agreeing on metric definitions with business partners and holding those definitions consistent across multiple reporting surfaces.
Experience working directly with senior business leaders: taking requirements first-hand, presenting data and findings, explaining caveats clearly to non-technical partners, and responding when the numbers are challenged.

Minimum Qualifications
Deep SQL and Snowflake experience: designing schemas, optimizing queries, and building ETL pipelines, including incremental refresh and caching strategies.
Python experience spanning backend web services, APIs, and data-processing automation.
Hands-on Linux experience operating servers independently: working over SSH, running long-lived services behind a reverse proxy, and diagnosing problems with processes, networking, file systems, and performance.
Container experience covering image build and deployment, as well as troubleshooting networking, storage, and runtime issues.
Daily production experience with agentic AI coding tools (such as Claude Code), including running parallel sessions and reviewing generated code to identify edge cases, incorrect output, and unsound patterns before shipping.
A track record of confirming data and system behavior by measuring against the live system rather than inferring it from documentation, naming conventions, or generated explanations.
Experience developing and maintaining analytics products, reports, and dashboards, including dashboard visualization development.
Experience handling employee data or other sensitive personal data under row-level security and data-access restrictions, with a strong understanding of legal data privacy responsibilities, duty of care, and accountability.
Proven autonomy: experience owning delivery end-to-end with minimal direction, choosing the approach, and making implementation decisions independently.
Experience delivering to competing deadlines and shifting priorities without loss of data accuracy, while proactively setting expectations with stakeholders on scope and timing.
Ability to partner effectively with colleagues and partners across different global regions.
Ability to operate at a senior leader/executive level within the organization, providing data clarity and actionable insights.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile