CrawlJobs Logo

Senior Analytics Engineer, Business Intelligence

clearme.com Logo

Clear

Location Icon

Location:
United States , New York

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

165000.00 - 200000.00 USD / Year

Job Description:

As CLEAR continues to scale, we’re deepening our investment in the data ecosystem that powers our decision-making. We’re looking for a Senior Analytics Engineer, Business Intelligence to own the presentation layer of our data stack. This is a hands-on, senior individual contributor role for someone who blends exquisite data modeling craft, deep familiarity with tools like dbt and Looker, a knowledge of the state of the art, and a passion for designing data structures that enable intuitive self-service. You’ll define the semantic and analytical layers that drive clarity across the business, transforming complex data into clear, trusted metrics and models that everyone at CLEAR can rely on.

Job Responsibility:

  • Own and evolve the presentation and semantic layers: design, build, and optimize data models that serve as the foundation for Analytics at CLEAR
  • Partner with data engineering teams to define the transformation logic (via dbt or similar frameworks) that connects raw data to consumable business views, optimize pipelines to improve query performance, and ensure models align with best practices
  • Own a roadmap for enabling AI-powered analytics driving improved data documentation and a path for exposing our semantic layer to AI models
  • Improve self-service rates by building intuitive data structures, reusable views, and clear metric definitions that empower teams to answer their own questions
  • Mentor analysts and analytics engineers, guiding them in data modeling best practices, BI design, and stakeholder engagement

Requirements:

  • 6+ years of experience working in analytics engineering, BI engineering, or data engineering roles within a modern cloud data warehouse environment
  • Expert-level SQL: you can structure models for clarity, reuse, and performance at scale
  • Proven experience working with modern data stack technologies, including Snowflake, dbt, Dagster, and Looker
  • Deep experience with BI tools including semantic layer design, metric standardization, and the enablement of AI-driven analytics
  • Strong understanding of dimensional modeling and data warehousing principles
  • Demonstrated ability to balance technical rigor with business impact designing models that are as intuitive for stakeholders as they are efficient under the hood
  • Track record of driving BI and self-service, creating environments where data users can confidently explore and analyze on their own
  • Strong communication and influence skills, able to partner effectively across technical and business domains to align on data strategy and definitions
  • Proactive ownership and curiosity, always seeking opportunities to simplify, standardize, and scale how data is modeled and delivered
What we offer:
  • Comprehensive healthcare plans
  • Family-building benefits (fertility and adoption/surrogacy support)
  • Flexible time off
  • Annual wellness stipend
  • Free OneMedical memberships for you and your dependents
  • A CLEAR Plus membership
  • A 401(k) retirement plan with employer match
  • Catered lunches
  • Fully stocked kitchens
  • Stipends and reimbursement programs for well-being and learning & development

Additional Information:

Job Posted:
December 07, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Analytics Engineer, Business Intelligence

Senior Analytics Engineer, Corporate Strategy

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
179000.00 - 210000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field
  • Strong expertise in advanced SQL, Python scripting, and Apache Spark (PySpark, Spark SQL) for data processing and transformation
  • Proficiency in building, maintaining, and optimizing ETL pipelines, using modern tools like Airflow or similar
  • Experience in building polished and performant dashboards using tools like Superset, Looker, Tableau
  • Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
  • A strong business acumen around business strategy and competitive landscape
  • Ability to work in a fast-paced, and highly multi-functional environment
Job Responsibility
Job Responsibility
  • Partner cross-functionally with product, engineering, and business teams to scope and deliver high-impact analytics initiatives, from metric definitions to fully automated reporting solutions
  • Design and maintain reliable, scalable pipelines and data models using modern data tools (e.g., Airflow, Spark), ensuring performance and accuracy at scale
  • Lead end-to-end development of analytics products—from ingestion to visualization—that meet critically important business, product, and regulatory needs
  • Build internal frameworks and tooling to make high-quality data more accessible and actionable across the organization
  • Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood’s performance relative to peers
  • Advocate for customers by helping establish best practices in how we measure, interpret, and act on customer feedback
What we offer
What we offer
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces
  • Fulltime
Read More
Arrow Right

Senior Manager, Business Intelligence

Atlassian seeks a Senior Manager to lead a high-performing team of business inte...
Location
Location
United States , Seattle
Salary
Salary:
144100.00 - 231500.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience: 12+ years in business intelligence, data product management, data engineering or data science with 6+ years in people management
  • Leadership: Proven success working with business partners and leading a technical data strategy
  • Business Acumen: Fluency in business strategy, product strategy, finance and operational best practices
  • Technical Skills: Expertise in insights automation (including ML), data visualization, data modeling and data architecture
  • Communication: Proven experience in translating complex data concepts into actionable clarity for non-technical executive audiences
  • Project Management: Experience in strategic roadmap planning, operational sprint planning and cross-functional engagement modeling
Job Responsibility
Job Responsibility
  • Team Leadership: Lead and develop a team of business intelligence and data analysts to maximize decision-making impact across operations, product and engineering leadership
  • Business Intelligence Innovation: Craft a bold, exciting vision for BI and drive transformative innovation to enable next-gen data capabilities, especially through AI and self-serve analytics
  • Cross-Functional Collaboration: Work with cross-functional teams across operations, product, data and engineering to ensure impactful and enduring business outcomes
  • Business Partnership: Collaborate with operations leaders to identify strategic investments and deliver advanced data insights to maximize decision-making effectiveness
  • Data Solution Delivery: Deliver impactful data solutions to surface strategic opportunities, monitor key business metrics, diagnose issues, quantify initiatives and communicate impact to the business
  • Communication: Effectively translate data complexity into clear, actionable insights for leaders while advocating for the team’s impact to the business
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • bonuses
  • commissions
  • equity
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Join a leading global live-entertainment discovery tech platform. As a Senior Da...
Location
Location
Spain , Madrid
Salary
Salary:
Not provided
https://feverup.com/fe Logo
Fever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You have a strong background in at least two of: data engineering, business intelligence, software engineering
  • You are an expert in Python3 and its data ecosystem
  • You have proven experience working with SQL languages
  • You have worked with complex data pipelines
  • You are a collaborative team player with strong communication skills
  • You are proactive, driven, and bring positive energy
  • You possess strong analytical and problem-solving abilities backed by solid software engineering skills
  • You are proficient in business English.
Job Responsibility
Job Responsibility
  • Own critical data pipelines of our data warehouse
  • Ideate and implement tools and processes to exploit data
  • Work closely with other business units to create structured and scalable solutions
  • Contribute to the development of a complex data and software ecosystem
  • Build trusted data assets
  • Build automatizations to create business opportunities
  • Design, build and support modern data infrastructure.
What we offer
What we offer
  • Attractive compensation package with potential bonus
  • Stock options
  • 40% discount on all Fever events and experiences
  • Home office friendly
  • Responsibility from day one
  • Great work environment with a young international team
  • Health insurance
  • Flexible remuneration with 100% tax exemption through Cobee
  • English lessons
  • Gympass membership
  • Fulltime
Read More
Arrow Right

Senior Mechanical Engineer

The Mechanical Project Engineer will provide technical knowledge, guidance and s...
Location
Location
United Kingdom , Nationwide
Salary
Salary:
Not provided
nsgltd.com Logo
NSG Environmental Ltd
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Educated to degree level or equivalent in a technical discipline
  • Membership of appropriate technical/professional body
  • IOSH Managing Safely or formal H & S qualification - Relevant training will be provided if required
  • Understanding of the Project lifecycle and how projects are delivered within NSG
  • Basic understanding of the UK Nuclear Industry
  • Competent user of MS office
  • Ability to organise own work and effectively deliver under the guidance of a Project Manager
  • Ability to prepare and present reports, documentation and information in support of project delivery
  • Ability to interpret and evaluate technical data
  • Ability to communicate with a wide range of colleagues at all levels and with external stakeholders and contractors
Job Responsibility
Job Responsibility
  • Respond to client or colleague enquiries and take necessary actions to develop an effective engineering solution
  • Production of concept, scheme and detailed design documentation
  • Production of underpinning design calculations and analytical assessments
  • Production of engineering reports
  • Provision of relevant data, theory, formulae or standards to support design, manufacture, installation or equipment test
  • Self checking of all documentation prior to submitting for formal check and review
  • Liaise with internal and group company colleagues
  • Originate, prepare and deliver project documentation and engineering design deliverables
  • Provide technical oversight to sub-contract packages of work
  • Attend and contribute to engineering/project meetings
What we offer
What we offer
  • Life Assurance 3x Salary
  • Private Healthcare package
  • Pension – Company contributes 5% Individual contributes 4%
  • Discretionary bonus
  • 187.5 hours per year holiday allowance
  • Professional memberships covered
  • Training and development opportunities available
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...
Location
Location
United States , Chicago
Salary
Salary:
160555.00 - 176610.00 USD / Year
adtalem.com Logo
Adtalem Global Education
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
  • 3 years of experience in data engineering
  • Experience building data platforms and pipelines
  • Experience with AWS, GCP or Azure
  • Experience with SQL and Python for data manipulation, transformation, and automation
  • Experience with Apache Airflow for workflow orchestration
  • Experience with data governance, data quality, data lineage and metadata management
  • Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
  • Experience with CI/CD pipelines for continuous deployment and delivery of data products
  • Experience maintaining technical records and system designs
Job Responsibility
Job Responsibility
  • Design, develop, and optimize data platforms, pipelines, and governance frameworks
  • Enhance business intelligence, analytics, and AI capabilities
  • Ensure accurate data flows and push data-driven decision-making across teams
  • Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
  • Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
  • Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
  • Develop and manage CI/CD pipelines to support continuous deployment of data products
  • Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
  • Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
  • Develop and expose REST APIs for sharing data across teams
What we offer
What we offer
  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Adtalem’s Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
  • Annual incentive program
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Join Inetum as a Data Engineer! At Inetum, we empower innovation and growth thro...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Teradata – advanced SQL and data warehousing
  • CONTROL-M – job scheduling and automation
  • UNIX – working in a UNIX environment (directories, scripting, etc.)
  • SQL (Teradata) – strong querying and data manipulation skills
  • Ab Initio – data integration and ETL development
  • DevOps – CI/CD practices and automation
  • Collaborative tools – GIT, Jira, Confluence, MEGA, Zeenea
Job Responsibility
Job Responsibility
  • Design, development, and optimization of data solutions that support business intelligence and analytics
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We're seeking an experienced Senior Data Engineer to help shape the future of he...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
audibene.de Logo
Audibene GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands on experience with complex ETL processes, data modeling, and large scale data systems
  • Production experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift) on AWS, GCP, or Azure
  • Proficiency in building and optimizing data transformations and pipelines in python
  • Experience with columnar storage, MPP databases, and distributed data processing architectures
  • Ability to translate complex technical concepts for diverse audiences, from engineers to business stakeholders
  • Experience with semantic layers, data catalogs, or metadata management systems
  • Familiarity with modern analytical databases like Snowflake, BigQuery, ClickHouse, DuckDB, or similar systems
  • Experience with streaming technologies like Kafka, Pulsar, Redpanda, or Kinesis
Job Responsibility
Job Responsibility
  • Design and build robust, high performance data pipelines using our modern stack (Airflow, Snowflake, Pulsar, Kubernetes) that feed directly into our semantic layer and data catalog
  • Create data products optimized for consumption by AI agents and LLMs where data quality, context, and semantic richness are crucial
  • Structure and transform data to be inherently machine readable, with rich metadata and clear lineage that powers intelligent applications
  • Take responsibility from raw data ingestion through to semantic modeling, ensuring data is not just accurate but contextually rich and agent ready
  • Champion best practices in building LLM consumable data products, optimize for both human and machine consumers, and help evolve our dbt transformation layer
  • Built data products for AI/LLM consumption, not just analytics dashboards
What we offer
What we offer
  • Work 4 days a week from our office (Berlin/Mainz) with a passionate team, and 1 day a week from home
  • Regularly join on- and offline team events, company off-sites, and the annual audibene Wandertag
  • Cost of the Deutschland-Ticket covered
  • Access to over 50,000 gyms and wellness facilities through Urban Sports Club
  • Support for personal development with a wide range of programs, trainings, and coaching opportunities
  • Dog-friendly office
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
  • 7-15 years’ experience including 5 or more years of people management experience
  • Advanced Degree (Master’s or Ph.D.) strongly preferred
  • Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
  • Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
  • Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
  • Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
  • Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
  • Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.
Job Responsibility
Job Responsibility
  • Develop software algorithms to structure, analyze and leverage structured and unstructured data
  • Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
  • Apply, optimize, and scale deep learning technologies and algorithms
  • Document procedures for installation and maintenance
  • Perform testing and debugging
  • Define and monitor performance metrics
  • Translate customer requirements and industry trends into AI/ML products and systems improvements
  • Develop and drive the organization’s AI and machine learning strategy
  • Identify new opportunities for AI and machine learning applications
  • Oversee complex AI and machine learning projects from conception to deployment
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
  • Personal and professional development programs
  • Career growth opportunities
  • Inclusive work environment.
  • Fulltime
Read More
Arrow Right