CrawlJobs Logo
GoodLeap Logo GoodLeap · IT - Software Development

Staff Analytics Engineer

United States, San Francisco 173000.00 - 200000.00 USD / Year · Job Posted March 14, 2026
Apply Position
Job Link Share

Job Description

We are seeking a Staff Analytics Engineer with skills in pipeline development and data modeling to support data enablement and operational reporting for our Corporate teams, including legal, compliance, and accounting. Our ideal candidate has a strong foundation in pipeline development, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and expand on data reports used by Corporate teams. As Corporate teams use data generated in all parts of the business, you will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to Corporate teams, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.

Job Responsibility

  • Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions
  • Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs
  • Develop datasets and dashboards within an agile framework
  • Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need
  • Assist business users in identifying and deploying the right tool for each use case, including performing new tool and technology evaluations
  • Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations
  • Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms

Requirements

  • BS in Computer Science, DS, or related technical degree or equivalent work experience
  • 6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role
  • 5+ years' hands-on SQL experience in a work environment
  • Experience with data management, documenting process and data flows, and ensuring data quality
  • Experience with ETL processes, software development, and lifecycle awareness
  • Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders
  • Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses
  • Analytical mindset and willingness to identify and question assumptions

What we offer

  • bonus
  • equity
GoodLeap - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Staff Analytics Engineer

8 matching positions

Staff Analytics Engineer

Bamboo Health is seeking a Staff Analytics Engineer passionate about data and is...
Location
Location
United States
Salary
Salary:
Not provided
bamboohealth.com Logo
Bamboo Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of professional experience in Analytics Engineering, Data Engineering, and related roles
  • A bachelor's degree in a quantitative or technical field, such as mathematics, economics, computer science, or statistics, is required
  • an advanced degree is a plus
  • Expert-level proficiency in Tableau (dashboard creation, data source optimization, calculations, performance tuning)
  • Advanced SQL skills and hands-on experience with Amazon Redshift (or similar MPP databases)
  • Experience with ETL/ELT development and data transformation workflows
  • Experience with Python, dbt, or other ETL automation/orchestration tools
  • Experience working in cloud-based data ecosystems, preferably with AWS
  • Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions
  • Strong communication skills, with experience influencing technical and non-technical stakeholders
Job Responsibility
Job Responsibility
  • Design, build, and optimize advanced Tableau dashboards, workbooks, and data products for high-performance analytics
  • Define Tableau visualization standards, style guides, and reusable templates
  • Design, optimize, and manage data pipelines essential for supporting reporting solutions
  • Implement dashboard performance tuning, extract optimization, and best practices for Hyper
  • Work closely with Product, Engineering, Data Engineering, and Business teams to understand requirements and deliver scalable solutions
  • Conduct design reviews, code reviews, and architecture assessments to ensure high-quality deliverables
  • Support a variety of business-aligned projects to meet organizational objectives
  • Establish yourself as the go-to technical expert on the reporting components of our product suite
  • Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing)
  • Identify repetitive tasks and partner with team leads to implement scalable automation solutions
What we offer
What we offer
  • Join one of the most innovative healthcare technology companies in the country
  • Enjoy the freedom to create something with a highly supportive team
  • Learn from working at the highest levels and on the company's most strategic priorities, including from world-class investors and advisors
  • Receive competitive compensation that includes health, dental, vision, and other benefits
  • Fulltime
Read More
Arrow Right

Staff Analytics Engineer

We are seeking a highly skilled and experienced Staff Analytics Engineer to join...
Location
Location
India , Delhi
Salary
Salary:
Not provided
alpha-sense.com Logo
AlphaSense
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's (or Master’s) degree in Computer Science, Information Systems, or a closely related discipline
  • 5+ years of experience as an Analytics Engineer
  • Overall solid programming skills, able to write modular, maintainable code in Python
  • Experience in creating data pipelines and transforming data using SQL in GCP
  • Experience in creating Tableau workbooks
  • Experience in working with AWS Services like S3, SNS, SQS, and AWS Lambda Function
  • Experience in Kubernetes and CI/CD Process
  • Experience in working with NoSQL DBs (e.g. MongoDB, DynamoDB)
  • Experience in working with event-driven systems
  • Familiarity with Agile methodologies and product development processes
Job Responsibility
Job Responsibility
  • Develop R&D Analytical Data Lake for real-time data ingestion, storage, processing and analytics on BI tools
  • Develop and maintain data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation, and loading of data from a wide variety of data sources using Python and SQL
  • Develop Tableau dashboards by establishing connections with GCP and other tools
What we offer
What we offer
  • Playing a part in the story of a fast-growing company
  • Competitive compensation package
  • Exciting career opportunities and training
  • Very highly skilled colleagues
  • Lunch and recreational benefits
  • Occupational health care
Read More
Arrow Right

Staff Analytics Engineer

Sequel Med Tech is seeking an experienced Analytics Engineer to spearhead the de...
Location
Location
United States , Manchester; Marlborough
Salary
Salary:
175000.00 - 180000.00 USD / Year
sequelmedtech.com Logo
Sequel Med Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years’ experience in data science or data engineering
  • Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or related field, or combination of relevant experience and education. Masters preferred
  • Proficiency with SQL and Python with strong knowledge of data manipulation and analysis libraries
  • Experience with data transformation tools such as DBT, SQL Mesh, Airflow, etc.
  • Experience with cloud data platforms such as Snowflake, Databrick, Big Query, Redshift, etc.
  • Experience with engineering best practices including the use of version control
  • Ability to clearly communicate complex technical concepts to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Building data models and data pipelines for Snowflake using DBT and Airbyte
  • Ensuring the company’s data pipelines are efficient, well-tested, and accurate
  • Work closely with business leaders, technical teams, customers, and other stakeholders to identify opportunities to solve healthcare problems with data and to translate those opportunities into data science questions and data engineering requirements
  • Communicate complex data insights to clinical and business leaders to inform decision-making
  • Build clinical and business dashboards in Lightdash
  • Partner with technical teams to ensure data-driven functionality is designed, implemented, tested, and released with proper consideration to data quality, integrity, compliance, and use
  • Ensure quality, inclusion, impartiality, and accessibility in delivered products
  • Help develop best-in-class data science practices to support a rapidly growing organization
What we offer
What we offer
  • 401k plan with a 6% company match and 100% immediate vesting
  • Capped out-of-pocket insulin costs and GLP-1 coverage across all plans
  • Variety of Meritain health insurance plans
  • Flexible Spending Accounts (FSAs) or Health Savings Account (HSA)
  • Vision and dental coverage
  • Voluntary options such as long-term disability, accident, critical illness, hospital indemnity, and pet care discounts
  • Employer-paid short-term disability and life insurance
  • Flexible PTO
  • Generous paid holidays
  • Flex Time options
  • Fulltime
Read More
Arrow Right

Staff Analytics Engineer, Business Solutions

We are seeking a Staff Analytics Engineer with skills in pipeline development, d...
Location
Location
United States , San Francisco
Salary
Salary:
173000.00 - 200000.00 USD / Year
goodleap.com Logo
GoodLeap
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS in Computer Science, DS, or related technical degree or equivalent work experience
  • 6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst or similar role
  • 5+ years' hands-on SQL experience in a work environment
  • Experience with data modeling, documenting process and data flows, and ensuring data quality
  • Experience with ETL processes, software development, and lifecycle awareness
  • Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders
  • Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses
  • Analytical mindset and willingness to identify and question assumptions
Job Responsibility
Job Responsibility
  • Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions
  • Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs
  • Build datasets, pipelines, and dashboards using ‘Agile’ framework
  • Design scalable data models and architecture patterns that support analytics use cases, ensuring alignment with organizational standards and data strategy
  • Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations
  • Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms
  • Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need
What we offer
What we offer
  • bonus
  • equity
  • Fulltime
Read More
Arrow Right

Staff Analytics Engineer - Foundational Data

Our mission in the Foundational Data team is to build and maintain high quality ...
Location
Location
United States
Salary
Salary:
194000.00 - 240000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of experience with a BS/Masters or 6+ years with a PhD
  • Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala
  • Expertise using business intelligence and reporting tools like Superset and Tableau
  • Expertise in large-scale distributed data processing frameworks like Presto or Spark
  • Expertise in data modeling for data warehouses and/or metrics repositories
  • Experience with an ETL framework like Airflow
  • Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
  • Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
  • Experience exploring and leveraging LLM AI’s in every-day tasks (coding, documentation, etc…)
  • Strong capability to forge trusted partnerships across working teams
Job Responsibility
Job Responsibility
  • Develop high quality data assets to satisfy a wide range of use-cases
  • Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements
  • Collaborate and build strong partnerships with other data practitioners throughout Airbnb
  • Influence the trajectory of data in decision making
  • Improve trust in our data by championing for data quality across the stack
  • Influence event logging instrumentation best practices and participate in architecture designs
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Staff Product Analytics Engineer

This role is for our first-ever product analytics engineering hire, and a fundam...
Location
Location
Salary
Salary:
200000.00 - 260000.00 USD / Year
runwayml.com Logo
Runway
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data
  • 4+ years of experience with SQL, ETL, python, and data modeling
  • Collaborative mindset and communication skills
  • Comfortable working directly with sales, product, finance, and engineering teammates
  • Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy
Job Responsibility
Job Responsibility
  • Own the data infrastructure and pipelines for business critical product and user data
  • Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs
  • Take an AI-first approach to scaling Runway’s data tooling and use
  • Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate
  • Work with product and engineering to ensure critical usage data is available and interpreted in useful ways
  • Collaborate with with trust and safety teams on signals for detecting misuse or abuse
  • Collaborate with marketing and studios teams to help measure impact of all marketing initiatives
  • Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis
  • Fulltime
Read More
Arrow Right

Staff Data Engineer - Analytics Platform

We’re starting up a brand-new Analytics Platform team to drive the data strategy...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
octopus.energy Logo
Octopus Energy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep expertise with dbt Core
  • Advanced SQL, Jinja and Git
  • Data Modelling Techniques e.g. Kimball, OBT
  • Experience with a cloud warehouse provider e.g. Databricks, Snowflake, BigQuery
  • A record of working with multiple stakeholders across domains
Job Responsibility
Job Responsibility
  • Build, document and consult on: Analytics for business domains using dbt & modern BI tools such as Lightdash
  • Strategies to model & govern a Data Mesh – improving discoverability, consistency, performance, and performance
  • Comprehensive testing frameworks to ensure data quality, using tools like dbt_expectations and Elementary
  • Robust CI/CD pipelines for testing and deployment of AE and BI models
  • Monitoring and alerting tools for insights on AE performance
  • Work hands-on with ~20 teams, guiding them to adopt tools & data modelling approaches at scale (1000s of models!)
  • Fulltime
Read More
Arrow Right

Staff Engineer, Data Analytics Engineering

We are seeking a highly motivated and detail-oriented individual to join our tea...
Location
Location
Malaysia , Batu Kawan, Penang
Salary
Salary:
Not provided
sandisk.com Logo
Sandisk
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Data Science Engineering, Computer Science, Information Systems, or related field
  • advanced degree preferred
  • Minimum 5 years of experience in business intelligence related work
  • Experience with data analytics and visualization tools (e.g., Power BI, Tableau)
  • Proficiency in SQL and data modeling concepts
  • Strong business requirement gathering and stakeholder management skills
  • Excellent problem-solving and communication skills
Job Responsibility
Job Responsibility
  • Design and deliver automation solutions to eliminate repetitive manual tasks, including automated reporting and data visualization
  • Develop analytical tools and dashboards that provide actionable insights for business and operations teams
  • Design, develop, and maintain robust, end-to-end digital platforms to support business needs
  • Establish and maintain data pipelines to enable downstream analytics and reporting
  • Consolidate and validate business requirements, ensuring alignment across operations, IT, and business strategy
  • Work with cross-functional stakeholders (IT, operations, and business teams) throughout project planning and execution
  • Support implementation and testing activities, including requirements gathering, user documentation, and end-user training
  • Fulltime
Read More
Arrow Right