Senior Analytics Engineer Job at Ciphr

Senior Analytics Engineer

Bamboo Health is the leader in Real-Time Care Intelligence™ solutions aimed at i...

Location

United States

Salary:

Not provided

Bamboo Health

Expiration Date

Until further notice

Requirements

A Bachelor’s Degree in a quantitative or technical discipline, such as mathematics, economics, computer science, statistics, or a similar quantitative field, is required.
5+ years of professional experience in data analytics.
Experience in designing user-friendly analytics solutions with Tableau, Looker, or similar data visualization software.
Ability to write SQL for collecting, cleaning, and aggregating data.
Solid understanding of database technologies (PostgreSQL, MySQL, DynamoDB) and ability to code for data collection.
Understanding data warehousing concepts and experience with platforms such as Amazon Redshift.
Solid working knowledge of Tableau, with experience in creating user-facing analytics solutions.
Solid understanding of Python, GitHub, and other standard development tools.
Comfort using or learning AI-supported tools (e.g., ChatGPT, CoPilot, or role-specific tools) to improve daily workflows.
A forward-thinking, curious mindset with an openness to experimenting with new technologies.

Job Responsibility

Design and manage data pipelines essential for supporting reporting solutions.
Develop innovative dashboards and reporting features to improve customer and user satisfaction.
Establish yourself as the technical authority on the reporting components of our product suite.
Foster collaboration among Agile teams and across functions to promote solution implementation.
Use data and advanced analytical methods to provide actionable insights to stakeholders.
Support a variety of business-aligned projects to meet organizational objectives.
Identify repetitive tasks and partner with team leads to implement scalable automation solutions.
Stay curious about emerging AI tools and how they can streamline or enhance work within your function.

What we offer

health
dental
vision
other benefits

Fulltime

Senior Analytics Engineer

We’re hiring a Senior Analytics Engineer into our Finance & Operations data team...

Location

United Kingdom; Spain; Czechia

Salary:

Not provided

Mews

Expiration Date

Until further notice

Requirements

Proven experience building and maintaining production-grade data pipelines and analytics infrastructure
Strong hands-on capability with Databricks, SQL and Python
A track record of working with senior non-technical stakeholders and explaining technical trade-offs in a clear, credible way
Experience operating in scale-ups or other high-growth environments where ambiguity, pace and prioritisation are part of the job
Strong commercial judgement and the ability to connect technical work to business outcomes
Confidence working across both strategic projects and operationally important day-to-day work

Job Responsibility

Own and improve the data pipelines and infrastructure that support Pigment forecasting, budgeting and planning
Build and shape the people data domain, including data models, platform foundations and governance patterns across secure Databricks environments
Translate complex, often ambiguous business needs into practical technical roadmaps
Partner closely with senior finance stakeholders, including directors and VPs, to turn requests into scalable solutions rather than one-off fixes
Balance short-term operational needs with longer-term platform quality, maintainability and control
Help the team reduce reliance on ad hoc firefighting and create stronger foundations for SOX compliance and IPO readiness
Bring structure, clarity and good engineering judgement to a fast-moving, under-resourced environment

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly EDGE time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)

Fulltime

Senior Analytics Engineer

We are seeking a Senior Analytics Engineer to help evolve a business intelligenc...

Location

United States

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

7+ years of experience in analytics engineering, data engineering, or a closely related role
Strong command of SQL, including complex transformations, performance debugging, and model design
Proficiency in Python for data processing, automation, and API integrations
Hands-on experience with a cloud data warehouse (Snowflake preferred)
Experience using dbt or a similar transformation framework
Familiarity with orchestration tools (e.g., Dagster or Airflow) or managed ELT services
Practical, day-to-day use of AI coding assistants as a productivity tool, paired with sound judgment
Strong communication skills and a habit of documenting decisions, definitions, and systems
Ability to operate as a senior IC—contributing direction, mentoring peers, and supporting planning efforts

Job Responsibility

Architect, build, and maintain reliable ELT pipelines using modern data tooling and cloud warehouses
Apply AI-assisted development practices to reduce repetitive work while maintaining high standards for readability and correctness
Write efficient, well-structured SQL and Python to transform, validate, and integrate data from multiple sources
Design and maintain analytical data models, including fact tables, dimensions, metrics layers, and reusable datasets
Build datasets that serve multiple consumers, including analysts, dashboards, and downstream programmatic or automated workflows
Maintain clarity around data ownership, definitions, and relationships
Create data structures and pipelines that support AI and LLM-powered use cases such as context retrieval, embeddings, structured outputs, and tool-based agents
Partner with other technical teams to ensure data is usable, discoverable, and reliable for automated systems
Monitor data freshness, completeness, and correctness across pipelines
Surface issues proactively and explore automated alerting or remediation patterns

Fulltime

Senior Analytics Engineer

We are looking for an experienced and autonomous Analytics Engineer to take char...

Location

France , Paris

Salary:

Not provided

Bsport

Expiration Date

Until further notice

Requirements

Have +4 years of experience as an analytics engineer
Have high proficiency in SQL and DBT
Thrive in a fast-pace environment
Experience with Data modeling and a visualization tool
Experience with Orchestration tools (Airflow or other)
Experience with GitHub/GitLab
Previous experience in mentoring more junior Analytics Engineers

Job Responsibility

Partnering with business stakeholders to prioritize data needs and translate them into actionable data products
Owning data quality standards, validation frameworks, and documentation to ensure trust in the data
Gathering all necessary data to address current and future challenges
Building robust data models that ensure flexibility for all existing and future needs
Delivering actionable insights and solutions that directly influence business strategy and operational efficiency
Mentoring junior team members (code reviews, pairing sessions, design reviews)

What we offer

Attractive compensation package
Hybrid model with remote days
Up to 15 days of remote work from abroad each year
Fully-funded Alan private health coverage
Exclusive fitness perks
Diverse fun loving team

Fulltime

Senior Analytics Engineer

As a Senior Analytics Engineer, you are responsible for bridging the gap between...

Location

United States , Chicago

Salary:

112000.00 - 140000.00 USD / Year

SpotHero

Expiration Date

Until further notice

Requirements

Minimum of 4 years of related experience with a Bachelor’s degree, or 2 years and a Master’s degree
1-2 years of experience working with Dbt cloud (or Dbt core)
Strong SQL and data modeling skills
Knowledgeable of object-oriented and/or functional programming patterns and paradigms
Hands-on experience with multiple data platforms and tools (eg, S3, Redshift, Airflow, Spark, Presto, Hive)
Demonstrated experience with small teams that move fast - all members are expected to be able to achieve maximum results with minimal direction
Demonstrated experience measuring the impact of technical products across multiple domains through experimentation and statistical analysis
Strong ability to communicate on both business and technical subjects

Job Responsibility

Bridging the gap between Data Engineering and Data Analysts
Modeling complex data sets with an eye towards data quality, timeliness, and re-use
Writing performant SQL queries and always seeking to improve high-use queries
Building up reusable pipelines
Identifying useful and less than useful data-sets within the existing data warehouses
Building relationships between Data Engineering and its stakeholders and being an advocate for them
Data Modeling/Architecting
Pipelining
Deriving Business Insights
Stakeholder Enablement

What we offer

We cover a generous portion of Medical Premiums, 50% of Dental and Vision Premiums, company-sponsored Life Insurance, STD, and AD&D coverage, a 401(k) with match and immediate vesting, and comprehensive leave policies
Flexible PTO policy and outstanding work/life balance
Grubhub weekly lunch stipend for in-office days (UberEats for Canada)
Udemy License and Personal Learning Budget
Annual parking stipend
The opportunity to collaborate with fun, innovative, and passionate people in a casual yet highly productive atmosphere
Our commitment to allyship
Employee programs to grow and support our people such as Discovery Days for Product and Engineering, Gearing up for Aspiring Leaders, and Mentorship Program
Wellness program

Fulltime

Senior Analytics Engineer

A leading music industry platform is seeking a Senior Analytics Engineer to supp...

Location

United States , New York

Salary:

70.00 - 75.00 USD / Hour

Onward Search

Expiration Date

Until further notice

Requirements

Over 5 years of experience in analytics engineering, data engineering, or business intelligence roles
Proficiency with dbt, building modular transformations and managing dependencies
Experience with large datasets, SQL, and cloud data warehouses such as BigQuery, Snowflake, or Redshift
Skilled in designing and supporting automated analytics workflows using orchestration tools like Airflow
Ability to build dashboards in BI tools like Looker or Tableau and translate business needs into scalable data models

Job Responsibility

Establish core data infrastructure for a new marketing project, transforming raw event data into structured datasets
Design and develop data entities to facilitate measurement, audience segmentation, and marketing activations
Create automated, AI-assisted workflows to track campaign health, generate insights, and build dashboards
Build reliable data pipelines using tools like dbt, Airflow, ensuring high quality and observability
Develop self-service analytics tools for marketing and content teams to explore artist data and enhance decision-making

What we offer

Medical, Dental, and Vision Insurance
Life Insurance
401(k) Program
Commuter Benefit
eLearning and Ongoing Training
Education Reimbursement

Fulltime

Senior Analytics Engineer

At Fever, we are building a federated data organization that combines centraliza...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Fluent in Spanish and English
A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field
A collaborative mindset: comfortable working with both engineers and business stakeholders
Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment
A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
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.)

Job Responsibility

Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting
Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.)
Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets
Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance
Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story
Contribute to Airflow pipelines in Python, supporting automation and orchestration needs
Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.

What we offer

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options
Responsibility from day one and professional and personal growth
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
Possibility to receive in advance part of your salary by Payflow.

Fulltime

Senior Analytics Engineer

We are hiring a Senior Analytics Engineer to take ownership of our curated, busi...

Location

United Kingdom , London

Salary:

Not provided

Clear Channel UK

Expiration Date

Until further notice

Requirements

Deep SQL expertise, including complex transformations, window functions and performance tuning in a cloud environment
Proven experience designing analytical or data warehouse models
Strong dimensional modelling knowledge such as Kimball approaches, star schemas and aggregates
Experience working with BI tools, ideally Power BI
Hands on ownership of curated data layers used by the business
Strong understanding of data quality, profiling and validation techniques
Confident communicator, comfortable engaging senior stakeholders and non technical users

Job Responsibility

Design, build and maintain scalable dimensional and analytical data models
Define and enforce data grain, keys and relationships
Own slowly changing dimensions, historisation strategies and conformed dimensions
Translate business requirements into clear, well documented and high performing models
Create and maintain a stable Gold layer suitable for Power BI and downstream analytics
Profile staged datasets to assess completeness, accuracy and consistency
Define and implement validation rules and data quality checks
Partner with upstream engineers to resolve issues at the right layer
Act as the gatekeeper for what is considered analytics ready data
Build and optimise datasets specifically for Power BI consumption

What we offer

Hybrid working model with regular office presence
25 days annual leave
Company pension contribution up to 8 percent
Healthcare cash plan
Life insurance and income protection
Cycle to work scheme
Enhanced maternity and paternity leave

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