Bi Analytics Engineer Job at BOLLINGER MISSISSIPPI SHIPBUILDING LLC (Raceland)

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

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

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

Crime Analytics Engineer

Axon seeking a well-versed Crime Analyst with expertise in SQL Server Management...

Location

United States , Scottsdale

Salary:

83250.00 - 133200.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

10+ years of experience delivering and/or managing public safety software testing, training, and/or implementation projects
Proficiency in SQL management studio, Power BI, or similar reporting language
Top-notch communication skills and the ability to communicate to both technical and non-technical customers/colleagues.
Exposure to software development and continuous process improvement processes
Proven success in transforming raw content into informative, engaging, and compelling learning experiences
Must be able to write clear copy, instructions, and messages for both internal and external audiences, as well as scripts for audio and video.
Must pass a Criminal Justice Information Services (CJIS) background check and maintain confidential and highly sensitive information.

Job Responsibility

Develop and maintain data pipelines, models, and dashboards to support business analytics and reporting needs.
Partner with our public safety client agencies to understand their business processes, organizational needs, and how our products achieve their digital transformation objectives for their reporting and analytics needs
Configure system databases to prepare the Axon Records, and Standards analytics
Author and configure Power BI and/or SSMS reports, dashboards, and analytics as needed for our customers
Train public safety agencies on Power BI and/or SSMS reporting capability in Axon’s applications
Build tools that support our clients to successfully manage and navigate the digital transformation journey within their own agencies
Create training strategies and plans. Also, make instructional materials for introducing customer software.
Use effective instructional design methodologies and technologies as it relates to reporting & analytics
Communicate testing plans, training plans, activities, and outcomes to appropriate internal and external stakeholders
Partner with key stakeholders including Axon Academy on the development of eLearning training assets and delivery via Axon’s learning management system

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs

Fulltime

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...

Location

Salary:

Not provided

Aramex

Expiration Date

Until further notice

Requirements

Leadership Behaviors: Collaborate & break silos
Execution & Accountability
Growth mindset
Innovation

Job Responsibility

Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

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

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

Select Country

Bi Analytics Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?