Senior Analytics Engineer Job at Ciphr

Senior Analytics Engineer

Senior Analytics Engineer role at Fever, building a federated data organization ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor's, Master's, or PhD in Computer Engineering, Data Engineering, Data Science, or related field
Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar)
Hands-on experience with DBT (or similar transformation frameworks)
Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect)
Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
Experience with BI tools (Metabase, Superset, Tableau, etc.)
Understanding of data quality, governance, and observability practices
Collaborative mindset comfortable working with both engineers and business stakeholders
Strong communication skills adaptable to multidisciplinary, international, fast-paced environment

Job Responsibility

Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets
Collaborate with data engineering team to define and certify business-critical metrics
Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets
Ensure data quality and consistency through testing frameworks, observability, and governance
Support self-service analytics by enabling stakeholders to explore data confidently
Contribute to Airflow pipelines in Python for automation and orchestration
Contribute to data mesh vision creating domain-owned datasets

What we offer

Attractive compensation package with base salary and performance bonus
Stock options
40% discount on all Fever events and experiences
Home office friendly
Health insurance
Flexible remuneration with 100% tax exemption through Cobee
English Lessons
Gympass Membership
Possibility to receive salary in advance by Payflow

Fulltime

Senior Analytics Engineer, Business Intelligence

As CLEAR continues to scale, we’re deepening our investment in the data ecosyste...

Location

United States , New York

Salary:

165000.00 - 200000.00 USD / Year

Clear

Expiration Date

Until further notice

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

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

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

Fulltime

Senior Analytics Engineer

Our vision is to build the next generation platform to enable easy and fast crea...

Location

United States , San Francisco

Salary:

170000.00 - 208000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

7+ years of experience in Analytics Engineering, Data Engineering, or Data Analytics
Proficiency in SQL, Python, and dbt
Strong communication skills and the ability to translate business needs into tractable work items
Extensive experience with prosumer and/or enterprise SaaS products
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset

Job Responsibility

Design, develop, and optimize robust data models to facilitate seamless reporting, analysis, and experimentation for marketing, product, and finance teams
Spearhead the creation of advanced marketing pipelines, ensuring data flows efficiently and accurately to support customer segmentation, campaign optimization, and ROI analysis
Collaborate closely with cross-functional teams to refine metrics and build intuitive dashboards that empower stakeholders with actionable insights
Standardize, monitor, and document data assets, ensuring data integrity and consistency throughout our analytics infrastructure

What we offer

generous healthcare package
401k matching program
catered lunches
flexible vacation time

Fulltime

Senior Analytics Engineer

Join Qargo as a Senior Analytics Engineer and turn complex logistics data into c...

Location

Belgium , Ghent

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Extensive experience in data analytics, BI engineering, or analytics engineering in a SaaS or data-driven environment
Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or PowerBI)
Experience with analytics platforms such as Mixpanel and user behavior tracking methodologies is a plus
Proven ability to collaborate effectively with multidisciplinary teams (product, engineering, sales, finance)
Strong analytical and problem-solving skills, with an eye for scalability and data quality
A background in Computer Science, Data Engineering, Statistics, or a related field
A proactive mindset with the ability to take ownership of complex problems and guide them to completion

Job Responsibility

Own and evolve Qargo’s data architecture, ensuring scalable, reliable and high-quality data pipelines
Maintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights
Build and refine internal BI dashboards to support data-driven decision-making across departments
Develop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities
Create product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions
Lead integration-related reporting, providing visibility on integration health, tenant usage, and performance
Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns
Mentor team members, set best practices, and raise the bar for analytics engineering within Qargo

What we offer

Real impact and ownership in a growing international scale-up
A supportive and collaborative team culture
Hybrid working setup with flexibility and trust
Opportunities to learn, grow, and expand your technical knowledge
Competitive salary and benefits package

Senior Analytics Engineer, Corporate Strategy

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

179000.00 - 210000.00 USD / Year

Robinhood

Expiration Date

Until further notice

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

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

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

Senior Analytics Engineer

As a Senior Analytics Engineer, you will be responsible for implementing a scala...

Location

United States

Salary:

185000.00 - 265000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

Tooling experience
Advanced SQL development track record
Experience working with the modern data stack (Snowflake, Looker, dbt, Hex are bonuses)
Clearly established track record of modeling, transforming, and interpreting data from source to insight
Proficient in Python: data manipulation (Pandas, NumPy), automation (Airflow), and analytics (Scikit-learn, SQLAlchemy)
Data Pipeline Orchestration tooling experience (Airflow, Dagster, etc.) and Data Observability tools (Metaplane, Monte Carlo, Datahub, etc.)
Sound understanding of the SaaS industry and it’s levers of impact, bonus for PLG company understanding (LTV:CAC, Activation levers, Conversion Rates (self serve vs. sales-led))
Ability to think objectively, especially when approaching new project, and not be swayed by personal or client bias
Great time management skills
Excellent written and oral communication skills to summarize insights, design data assets, and provide recommendations to audiences of varying levels of technical sophistication

Job Responsibility

Core Data Models: Design, develop, and maintain essential data models that will be leveraged across various business functions
Standards and Best Practices: Define and implement data engineering standards and best practices
Cross-Functional Collaboration: Partner with all parts of the business to understand their requirements and deliver data solutions
Strategic Influence: Play a key role in shaping the future direction of the analytics infrastructure
Develop standardized, transformed, and scalable data assets (via dbt)
Build self-service analytical mechanisms (via Looker and Hex)
Work cross-functionally across Product, Ops, and Go-to-Market stakeholders to gather requirements, develop project plans, and execute high-impact work
Innovate and champion key internal BI & Analytics development workflows and productivity initiatives
Serve as a subject-matter expert regarding our data, champion data literacy, and raise the analytical capability of all folks at Apollo

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Analytics Engineer II

Articulate is looking for a Sr. Analytics Engineer to join our amazing Data team...

Location

United States

Salary:

137700.00 - 206500.00 USD / Year

Articulate

Expiration Date

Until further notice

Requirements

8+ years of experience in data or analytics roles
At least 5 years in analytics engineering, preferably within a fast-paced tech company or data-driven organization
Expert in end-to-end data workflows, from data collection to analysis and presentation, with most expertise in data modeling
Confident in translating raw data to reusable, business-friendly data models
Proven experience owning and leading the creation of reliable, flexible data models in an enterprise data warehouse
Expertise in SQL (writing and analyzing complex queries)
Expertise in Data Build Tool (dbt)
Expertise in Looker/Tableau (defining data models and measures)
Experience building semantic layers using dbt, Looker, or Snowflake’s semantic tables
Ability to write complex SQL, run ad-hoc data discovery, and build data models

Job Responsibility

Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools such as Looker or Tableau, and publishing documentation
Collaborate directly with stakeholders to define problems and determine requirements for a solution
Set and maintain best practices for data models and processes, including project architecture and QA
Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them
Own documentation of our tools and data, both for our team and for external users
Lead discovery on data tools and infrastructure, including setting goals for tooling, continuous analysis of existing tooling, and exploring new tools and features we may adopt
Participate as a technical leader in project planning, helping to create well-defined tasks to address data initiatives
Mentor more junior members of the data team
Represent the data team in some technical architecture and planning conversations
Identify and share data risks and dependencies in these contexts

What we offer

Bonus eligible
Robust suite of benefits

Fulltime

Senior Analytics Engineer

The Analytics Engineering team provides all parts of Intercom’s business with th...

Location

United States , San Francisco

Salary:

192400.00 - 223600.00 USD / Year

Intercom

Expiration Date

Until further notice

Requirements

You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
You’re familiar with the modern data stack. DBT and Snowflake experience are a big plus.
A growth mindset and eagerness to learn.
You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Job Responsibility

Data Platform Development: Design, build, and manage scalable data pipelines and ELT processes to support a robust, analytics-ready data platform.
Cross-functional Collaboration: Partner with engineering, analytics, and business teams to understand data needs and ensure accurate, insightful data solutions.
Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
Advanced Analytics & Insights: Conducted in-depth data analysis and built custom models to support strategic business decisions and performance measurement.
Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
Impact Measurement: Developed a strategy and technical pipeline for evaluating research output impact using citation metadata.

What we offer

Competitive salary and meaningful equity
Comprehensive medical, dental, and vision coverage
Regular compensation reviews - great work is rewarded!
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
In-office bicycle storage
Fun events for Intercomrades, friends, and family!

Fulltime

Senior Analytics Engineer

Ciphr

Location:
United Kingdom

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 14, 2026

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Location:United Kingdom

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 14, 2026

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United Kingdom

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Contract Type:
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Job Posted:
February 14, 2026