Analytics Engineer, Manager Job at Lawrence Harvey (NYC or New Jersey)

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

Analytics Engineer - Product Analytics

Deel is the all-in-one payroll and HR platform for global teams. Our vision is t...

Location

United Kingdom; Germany; Portugal; Canada; Spain; Italy; Estonia; Brazil; Argentina

Salary:

Not provided

Deel

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics)
At least 3 years of experience in a similar data analytics engineering or BI development role
Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts
Hands-on experience with business intelligence platforms (e.g., building dashboards in Looker, Tableau, or similar)
Basic programming skills in Python or a similar language for data processing and automation
Proven ability to handle multiple data projects, troubleshoot data issues, and meet deadlines
Good communication skills, with the ability to collaborate with technical and non-technical team members

Job Responsibility

Design, develop, and maintain data models (e.g., in dbt) that align with the overall data architecture and business requirements
Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis
Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed
Incorporate data quality checks and cleansing routines to ensure datasets are reliable and accurate
Work closely with data analysts and other analytics engineers to ensure consistency and accuracy in metrics and definitions across the team
Contribute to team processes by occasionally leading portions of meetings or sharing improvements to analytics workflows

What we offer

Stock grant opportunities dependent on your role, employment status and location
Additional perks and benefits based on your employment status and country
The flexibility of remote work, including optional WeWork access

Fulltime

Analytics Engineer, Product Analytics

As an Analytics Engineer at Airtable, you’ll play a pivotal role in shaping our ...

Location

United States , San Francisco; New York City

Salary:

143600.00 - 177200.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or a related field (or related experience)
3–5 years of experience working with data, with at least 1 year partnering with product stakeholders
Curiosity and fluency with AI/LLM tools (ChatGPT, Claude, Cursor, etc.)
Experience in SaaS, consumer tech, or data-driven product environments
Proficiency with SQL and data modeling best practices (e.g., dbt, Databricks, Snowflake, BigQuery)
Experience with BI tools and BI modeling best practices (e.g., Looker, Omni Analytics, Tableau, Mode, Hex)
Understanding of user funnels, retention metrics, and growth analytics
Strong ability to ensure data accuracy, reliability, and consistency
Ability to translate business questions into analytical approaches, interpret results, and communicate actionable insights
Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and event taxonomy design

Job Responsibility

Own and maintain core product data pipelines across tools such as dbt, Databricks, Looker, and Omni Analytics, ensuring reliability and scalability
Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas
Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports
Establish trusted partnerships with product managers, engineers, analysts, and leadership, serving as the go-to resource for product data insights and technical guidance
Lead analytics engineering efforts for high-impact product launches, including documentation of tracking plans, launch pipelines, and post-launch reporting
Participate in or lead cross-functional projects where analytics engineering contributions directly influence product strategy decisions

What we offer

Restricted stock units
Incentive compensation
Comprehensive benefits package

Fulltime

Manager / Senior Manager, Analytics Engineering

KOHO is looking for a Manager or Senior Manager, Analytics Engineering to lead a...

Location

Canada

Salary:

170000.00 - 220000.00 CAD / Year

KOHO

Expiration Date

Until further notice

Requirements

5+ years in analytics engineering, data engineering, or similar technical data roles, including 2+ years managing technical teams
Proven people leader: Track record of hiring, developing, and retaining high-performing individual contributors
Experience scaling teams: You've built or grown technical teams and established practices that enable sustainable growth
Expert-level dbt knowledge: Deep experience with dbt Core/Cloud, complex projects, advanced materializations, macros, packages, and project architecture
Strong SQL and data modelling skills: Proficiency with dimensional modelling, event modelling, and performance optimization
Modern data stack fluency: Experience with dbt, Git, CI/CD, data warehouses (Redshift is a plus), and orchestration tools
Infrastructure mindset: Understanding of data platform architecture, scalability, and reliability patterns
Strategic thinker: Able to translate business objectives into technical roadmaps and prioritize effectively
Exceptional communicator: Adapt messaging for different audiences from C-suite to individual contributors
Stakeholder management: Navigate competing priorities, manage expectations, and build trusted partnerships across the organization

Job Responsibility

Build and develop a high-performing team: Mentor, and grow the Analytics Engineers through coaching, performance management, and career development
Foster a culture of excellence: Set standards for code quality, documentation, and collaboration while building psychological safety and autonomy
Enable team success: Build systems, prioritize work strategically, and ensure your team has the context and resources to deliver impact
Drive performance: Conduct regular 1:1s, performance reviews, and calibrations aligned with KOHO's high-performance culture
Develop a long-term talent strategy, identifying skill gaps and creating career pathways that ensure KOHO attracts and retains top-tier analytics engineering talent
Own the analytics engineering platform: Maintain and evolve the data infrastructure supporting 20+ developers across analytics engineering and broader data teams (product analysts, business analysts, and developers)
Architect for scale: Define technical strategy, standards, and best practices for data modelling, pipeline development, and data quality
Optimize performance: Monitor infrastructure health, drive query optimization, and ensure reliability across critical data pipelines
Champion technical excellence: Establish governance frameworks, code review standards, and documentation practices
Partner with domain leaders: Collaborate with Analytics, Finance, Payment Operations, Risk, Treasury, and Product teams to understand their data needs and translate them into technical roadmaps

What we offer

Competitive compensation & equity
Fantastic, Deeply Engaged Team
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development

Fulltime

New

Senior Software Engineer, Analytics

We’re a global team of over 400 people, working together to push the boundaries ...

Location

Finland , Helsinki

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

Excellent development skills in Python
5+ years of experience working with at least one of these databases - PostgreSQL, MySQL, MariaDB, SQL Server, OracleDB
Experience in data engineering, including building ETL pipelines and working with large-scale datasets
Good understanding of data modeling, schema design, and query optimization
Experience with backup solutions and backup strategies
Advanced understanding of Linux OS
Experience with automated testing
Distributed systems knowledge
Experience with performance improvements, bug fixes, and security vulnerability resolution
Fluency in English, verbal and written

Job Responsibility

Write high-quality, maintainable code and release quality features
Participate in technical discussions and perform PR reviews
Optimize data storage and query performance for both OLTP (PostgreSQL) and OLAP workloads
Contribute to technical planning and backlog management
Help investigate and resolve customer issues
Mentor and empower other engineers
Automate processes to eliminate repetitive manual work
Develop and improve the scalability and reliability of PostgreSQL service

What we offer

Participate in Aiven's equity plan
Balance work and life with our hybrid work policy
Choose the equipment you need to set yourself up for success
Use your Professional Development Plan budget for learning opportunities
Receive holistic wellbeing support through our global Employee Assistance Program
Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
Enjoy country-specific benefits for our global cast

New

Software Engineer, Analytics

We are looking for a Software Engineer, Analytics to work on our cloud operation...

Location

Finland , Helsinki

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

Excellent development skills in Python
3+ years of experience working with one of these databases - PostgreSQL, MySQL, MariaDB, SQL Server, OracleDB
Experience in data engineering, including building ETL pipelines and working with large-scale datasets
Good understanding of data modeling, schema design, and query optimization
Knowledge of backup solutions and backup strategies
Good understanding of Linux OS
Experience with automated testing
Distributed systems knowledge
Experience with performance improvements, bug fixes, and security vulnerability resolution
Fluency in English, verbal and written

Job Responsibility

Write high-quality, maintainable code and release quality features
Participate in technical discussions and perform PR reviews
Optimize data storage and query performance for both OLTP (PostgreSQL) and OLAP workloads
Contribute to technical planning and backlog management
Help investigate and resolve customer issues
Mentor and empower other engineers
Automate processes to eliminate repetitive manual work
Develop and improve the scalability and reliability of PostgreSQL service

What we offer

Participate in Aiven’s equity plan
Balance work and life with our hybrid work policy
Choose the equipment you need to set yourself up for success
Use your Professional Development Plan budget for learning opportunities
Receive holistic wellbeing support through our global Employee Assistance Program
Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
Enjoy country-specific benefits for our global cast

New

Analytics Engineer, AV Safety Engineering

Work arrangement: Remote: This role is based remotely but if you live within a 5...

Location

United States

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field, or equivalent practical experience
5+ years of experience analyzing large-scale driving, vehicle, robotics, or similar engineering data
5+ years of experience in ADAS, autonomous vehicles, robotics, or a related technical domain
Experience with statistics relevant to large-scale engineering data analysis, including sampling, bias management, and experimental design
Experience transforming noisy time-series or sensor data into analysis-ready features or metrics
Strong problem-solving skills and a proactive, learning-oriented mindset
Strong communication and collaboration skills, with the ability to work effectively across technical teams
Strong programming skills in Python and SQL
Experience building and operating cloud-based analytics or data-processing workflows at scale

Job Responsibility

Define, prototype, and productionize safety and performance metrics for automated driving systems
Establish analytic approaches and sufficiency criteria that support safety assessment, development decisions, and launch readiness
Support proactive safety monitoring and targeted investigations tied to specific system-performance or safety questions
Support systems, safety, testing, and verification stakeholders by comparing real-world and simulation-based results, identifying gaps, and helping improve the representativeness of evaluation methods
Apply engineering and physics-based methods to process raw signals and derive meaningful representations of vehicle motion, driving context, and system behavior
Distinguish sensor or pipeline errors from meaningful real-world outliers using engineering judgment and data validation methods
Create interactive visualizations and reporting artifacts that communicate safety insights clearly, enhance transparency, and reduce barriers to interrogating source data in support of technical decision-making
Build and maintain analytics infrastructure that supports safety assurance across development, validation, and deployment
Develop reliable pipelines that ingest, transform, analyze, and publish data from vehicle systems, internal databases, simulation outputs, and external sources
Optimize analytics code and workflows for scalable, automated cloud execution

Fulltime