Analytics Engineer - Pricing Optimization
Analytics Engineer - Pricing Optimization
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Why Join Us
Youll join as one of the first and most critical analytics hires in a high-visibility high-impact initiative transforming global Ocean logistics. Your work in establishing robust analytics infrastructure is strategically essentialyour success in this role directly contributes to our teamsand yourlong-term impact and growth. Expect exceptional autonomy ownership of complex analytics challenges and meaningful opportunities for career progression as the foundational expert setting standards for our analytics practices.
About the Role
Were hiring a mission-critical Analytics Engineer to rapidly build the analytics foundation upon which our strategic pricing and experimentation capabilities will scale. Youll solve immediate tangible challenges related to data infrastructure and data quality quickly unlocking business-critical insights.
This role demands technical expertise urgency and versatility including designing scalable dbt models integrating diverse external data sources via APIs or web scraping and building high-quality automated data pipelines. You must be comfortable driving results autonomously proactively solving challenges and clearly communicating trade-offs and technical concepts.
Within your first 612 months youll:
- Have designed built and scaled the foundational analytics infrastructure (pipelines dbt models CI/CD) supporting core decision-making processes around dynamic pricing and experimentation.
- Established rigorous data-quality standards significantly enhancing trust and reliability across analytics stakeholders.
- Integrated and automated diverse internal and external data sources making data readily available for real-time strategic and operational decisions.
- Enabled the broader analytics team facilitating faster insights and clear business impact contributing to measurable revenue uplift through optimized pricing and experimentation capabilities.
What Youll Do
- Design and implement robust incremental data models using dbt applying dimensional modeling (Kimball methodology) and optimization strategies (partitioning clustering) to ensure performance and scalability.
- Develop and maintain scalable efficient ELT pipelines leveraging SQL dbt and Python within cloud data warehouses (e.g. Snowflake BigQuery) solving complex problems around large-scale data sets latency and data quality.
- Establish and improve analytics CI/CD pipelines (e.g. GitHub Actions GitLab CI) including automated testing linting validation and observability ensuring analytics reliability.
- Integrate external data sources through APIs (e.g. REST APIs FastAPI) and perform web scraping (e.g. BeautifulSoup Scrapy) as needed to enrich our analytics environment.
- Proactively identify and tackle challenging analytics engineering problems related to data volume real-time or near-real-time requirements experimentation infrastructure and forecasting workloads.
- Collaborate closely with Quantitative Analysts Data Scientists and Product Managers to align data model design and implementation with strategic analytics use-cases (pricing optimization experimentation predictive modeling).
- Continuously advocate and apply software engineering best practices to analytics workflows maintaining clean well-documented and maintainable codebases ensuring effective version control code reviews and streamlined deployments.
- Collaborate closely with Quantitative Analysts Data Scientists and Product Managers to align data model design and implementation with strategic analytics use-cases (pricing optimization experimentation predictive modeling).
- Continuously advocate and apply software engineering best practices to analytics workflows maintaining clean well-documented and maintainable codebases ensuring effective version control code reviews and streamlined deployments.
Basic Qualifications
- Bachelors or Masters degree in Computer Science Engineering Information Systems Data Science or equivalent experience.
- 37 years of professional experience in analytics engineering data engineering or closely related roles building robust scalable analytics infrastructure.
- Strong expertise in SQL and proven experience using dbt for data modeling ELT and analytics engineering workflows.
- Hands-on experience managing analytics environments in cloud data warehouses (e.g. Snowflake BigQuery Redshift).
- Proven experience with git-based analytics workflows CI/CD pipelines automated testing data quality checks and observability tooling.
- Experience integrating external data sources via APIs (FastAPI REST APIs) and performing web scraping (BeautifulSoup Scrapy).
- Strong technical communication skills and the ability to clearly convey analytics engineering concepts to both technical and non-technical stakeholders.
Preferred Backgrounds
We welcome a range of applied experience some examples include:
- Prior experience as analytics engineer or data engineer in high-growth analytics teams particularly with exposure to pricing optimization experimentation or operational analytics.
- Experience with orchestrating data workflows (Airflow Prefect Dagster) cloud infrastructure tools or analytics observability platforms.
- Familiarity with modern BI tools and building semantic layers to enable self-service analytics.
If you are ready to take on this challenge and make a tangible difference lets connect. Were excited to see what youll bring to the team!
Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing .
Employment Type
Full-Time
