Lead Analytics Engineer Job at Spendesk (Paris)

Lead Analytics Engineer

We are looking for a highly independent Lead Analytics Engineer to own and evolv...

Location

United States , Rockville

Salary:

90000.00 - 100000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

5–8+ years in analytics engineering, data engineering, or BI engineering.
Advanced SQL expertise
Strong experience with DBT (models, lineage, transformations)
Hands-on Snowflake experience
Proven ability to own pipelines end-to-end and solve complex data issues independently.

Job Responsibility

Data Modeling & Architecture Ownership: Design and maintain scalable data models using Snowflake and DBT.
Data Quality & Validation: Own data correctness end-to-end.
Pipeline Stability & Optimization: Diagnose and resolve pipeline failures and performance issues.
Problem Solving in Ambiguity: Work through incomplete requirements and unclear ownership.
Collaboration & Enablement: Partner with analytics and data teams.

What we offer

medical
dental
vision
work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage.

Fulltime

Lead Analytics Engineer

As a Lead Analytics Engineer, you'll join a large impactful team of data & analy...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

12+ years of experience in analytics engineering, business intelligence, or data engineering, with a strong focus on data modeling and transformation
Solid hands-on experience using SQL and Python, with a track record of building & maintaining production-level data models
Strong experience with a modern cloud data warehouse like Databricks, Google BigQuery, Snowflake, or Amazon Redshift
Lead architectural and technical decisions for secure, performant, and scalable data products
Deep expertise with a modern data transformation tool like dbt (data build tool)
Proven experience in data warehouse design and development, using dimensional modeling and other techniques for business intelligence
Experienced in AWS Cloud usage and data management (automation, data governance, cost optimisation, delivering reliable & scalable data solutions)
Ensure data quality, schema governance and monitoring across pipelines
Experience with orchestrators such as Airflow, Kubeflow & Databricks workflows
Drive the creation of reusable data products across multiple parts of the organisation

Job Responsibility

Lead our analytics engineering function, acting as the bridge between our core data pipelines and the business intelligence needs of our stakeholders
Building and scaling our data models
Mentoring the team, setting best practices, and driving the technical roadmap
Delivering high-quality, well-documented solutions that directly serve our internal customers
Lead by example, elevate engineering practices, and drive technical excellence across domains

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Lead Digital Analytics Engineer (Adobe Analytics)

We are looking for a Lead Digital Analytics Engineer (Adobe) with experience in ...

Location

United Kingdom , London

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

5+ years’ experience in digital analytics or analytics engineering
Strong hands-on experience with Adobe Analytics
Strong hands-on experience with Adobe Launch / Tags
Experience creating tracking specifications and tagging plans
Strong experience auditing data layers and validating implementations
Strong understanding of measurement governance, QA, and data quality management
Experience supporting marketing teams with campaign tracking and tagging
Ability to troubleshoot tracking issues and improve implementation quality
Solid understanding of digital performance measurement and reporting
Knowledge of GDPR, consent management, and cookie compliance

Job Responsibility

Owning tracking strategy, implementation quality and measurement governance across digital platforms
Ensuring data is accurate, consistent and actionable - enabling better decisions across product, marketing, and business teams

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Lead Analytics Engineer - Data Modeling & Quality

Arcadia is the only healthcare data and software company dedicated to healthcare...

Location

United States

Salary:

Not provided

The Muse

Expiration Date

Until further notice

Requirements

Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
DBT: hands-on experience authoring models, tests, macros, and yml documentation
familiarity with incremental strategies
Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly
Clear communicator — able to translate technical findings for clients and non-technical stakeholders
Strong analytical judgment — you can look at a distribution and know when something is wrong
Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient
Genuine desire to learn and apply AI tools for operational efficiency

Job Responsibility

DATA MODELING & DBT DEVELOPMENT: Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver
Help clients understand their data model, assumptions, and limitations through intentional validation
Troubleshoot and fix issues, then write DBT tests to catch issues proactively
Optimize SQL performance for slow-running jobs
Partner with Data Engineering on Hudi table design, partition strategy, and incremental patterns
DATA QUALITY OWNERSHIP: Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures
Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks)
Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers
Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings

What we offer

Pet Insurance
Health Insurance
Dental Insurance
Vision Insurance
FSA
HSA
HSA With Employer Contribution
Life Insurance
Short-Term Disability
Long-Term Disability

Lead Digital Analytics Engineer (Google)

We are looking for a Lead Digital Analytics Engineer with experience in digital ...

Location

United Kingdom , London

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Experience in digital analytics / analytics engineering
Strong expertise in GA4 and Google Tag Manager (GTM)
Proven experience designing tracking frameworks and measurement plans
Experience auditing dataLayers and validating analytics implementations
Strong experience with BigQuery and cloud-based data environments
Solid understanding of ELT processes and analytics data modelling
Experience transforming event-level data into structured reporting datasets
Ability to bridge analytics implementation with BI and reporting needs
Strong understanding of GDPR and consent management
Experience with OneTrust and/or CookiePro

Job Responsibility

Lead measurement strategy
Own implementation quality
Drive reliable, scalable analytics across web, product and campaign environments
Ensure digital data is accurate, compliant and actionable
Enable better decisions across marketing, product and business teams

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Sr Lead Software Engineer, Analytics - Shopping

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean

Salary:

209000.00 - 238500.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Lead Data Analytics Engineer

Lead Data Analytics Engineer role at ResMed. A Senior Staff–level technical lead...

Location

United States , San Diego

Salary:

171000.00 - 257000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a STEM field or equivalent experience
Extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 8+ years)
Expert-level SQL and data modeling skills on large-scale platforms (Snowflake preferred)
Strong experience building production data pipelines and models using Python, cloud services, and modern data stack tools
Proficiency with dbt or similar transformation frameworks
Demonstrated ability to set technical direction, define architectural patterns, and establish engineering best practices
Solid experience with Git/GitHub workflows, including branching strategies and collaborative development
Experience building and maintaining CI/CD pipelines in GitHub Actions, including automated testing and secure deployments
Ability to operate across both analytics engineering and data engineering responsibilities
Experience with cloud platforms such as AWS or GCP

Job Responsibility

Set architectural strategy for data modeling, transformation, ingestion, and data products, and guide engineering best practices across teams
Lead analytics engineering by designing high-quality Snowflake/dbt models, establishing governance and testing standards, and mentoring engineers in scalable modeling and system design
Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies, introducing automation, observability, and resilient design patterns
Collaborate cross-functionally with product, engineering, and data science to shape impactful, scalable solutions
Drive future advanced analytics and ML capabilities by defining feature pipelines, supporting classical ML models, and enabling new AI-driven workloads including LLM-based and hybrid ML/AI architectures

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), tuition assistance, flexible time off (FTO), 11 paid holidays plus 3 floating days, eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave

Fulltime

Lead Engineer - Device Level Analytics

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology
10+ years of experience in any Automotive company or Data Analytics environment
Proficient in Python (preferred) or any object-oriented programming languages
Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making
Proficient in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem
Experienced in working with data pipelines, PowerBI, SQL queries, Git, Databricks, Azure cloud services, and DevOps/MLOps/LLMOps
Familiarity with IoT data collection methods and solutions
Ability to learn quickly and adapt to new challenges
Exceptional collaboration skills and the ability to build strong relationships
Process-oriented mindset with a focus on efficiency and effectiveness

Job Responsibility

Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results
Extract data using existing IoT solutions and big data sources, conduct thorough analysis, perform testing, and validate outcomes
Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes
Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges
Propose solutions and strategies to business challenges that drive significant impact
Monitor the health of data collection pipelines, report issues, and follow up with responsible teams
Write user stories and frameworks for the IT development team to productize the self developed solutions
Present complex information through data visualization techniques
Provide training and guidance to business partners on data analysis methodologies, reporting, and tools

Fulltime

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Lead Analytics Engineer

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