Data Solutions Analyst and Engineering Support

High-Level Position Purpose

Leverages strong analytical capabilities and growing engineering instincts to develop reliable, well-structured data solutions across the CX organization. The role is anchored in analysis, reporting enablement, stakeholder management, and problem solving, while progressively contributing to stronger data foundations, Python-based automation, SQL development, lightweight application building, and sustainable technical practices. Ideal for a Data Analyst with aptitude, curiosity, and fundamental experience in data engineering, AI-assisted development, and modern delivery tools, and an appetite to grow toward more advanced data engineering responsibilities over time.

Key Responsibilities

• Prepare, transform, and maintain datasets for reporting, automation, visualization and operational decision making.

• Work closely with Customer Experience and other functions to observe, understand and map current processes and use cases and translate business requirements into technical requirements and solution designs.

• Use SQL and Power BI to answer business questions, validate logic, and turn findings into clear recommendations.

• Build and support Python scripts and automations that minimize manual effort in analytical workflows.

• Work with experienced data engineers to understand pipelines, data sourcing, and database structures, and identify and implement improvements.

• Use GitHub and Confluence to document solutions, track versions (version control), and deliver solutions which include data definitions, process notes, and user instructions.

• Use GitHub Copilot and similar AI tools to improve the quality and speed of coding, testing, and documentation while ensuring full ownership and responsibility for the final product.  Maintain the ‘Human in the Loop’.

• Support pipeline, PostgreSQL, API, or cloud tasks with guidance from senior engineers.

• Communicate progress, risks, and findings clearly to support delivery and stakeholder confidence.

Required experience & skills

Minimum Requirements:

• At least 2 years of experience supporting data‑driven tools and engineering‑oriented solutions, including backend services, lightweight web applications, and workflow automations.
• Bachelor’s degree or equivalent experience in computer science, information systems, data engineering, or related technical field.
• Strong analytical foundation.  Ability to interpret data, spot patterns, explain drivers, and translate them into business recommendations.
• Excellent communication and stakeholder management skills. Able to work independently and liaise with peers and leaders for support
• Strong SQL, joins, aggregations, validation, and troubleshooting against relational datasets.
• Working in Python for data manipulation, scripting, and automation.
• Power BI, Excel, Apache Superset or similar for building and explaining reporting outputs.
• Comfort with GitHub or similar version control tools, branching, pull requests, and code review.
• Ability to provide clear documentation of logic, assumptions, and steps in Confluence or equivalent.
• Familiarity with GitHub Copilot, etc. with judgment to review and validate generated output.

Preferred Experience/Skills:

• Deeper PostgreSQL, structure, query optimization, views, functions, schemas, or data modeling.

• Exposure to data pipelines, APIs, scheduled jobs, or integrations.

• Experience with cloud platforms, ideally Azure (storage, compute, deployment, cost awareness).

• AI tools beyond code completion, for testing, refactoring, debugging, or solution design.

Career Development:

• Curiosity and aptitude to grow from analyst to more complex engineering work.

• Ability to learn new platforms quickly.  Can work through ambiguity and builds with increasing levels of independence.

Parameters for Success (key measures)

• Accuracy and timeliness of analytical outputs and datasets.

• Reduction of manual effort through Python, SQL, and automation (ROI).

• Clear documentation and version control that improves sustainability & reduces effort on maintenance. 

• Stakeholder confidence in data quality and findings (NPS).

• Increased growth in engineering knowledge and complexity - adjacent delivery: databases, pipelines, cloud, and AI practices.

Your Impact

In this role, you will contribute directly to enhancing customer experience, ensuring compliance, improving operational efficiency, and supporting the adoption of standardized processes and digital tools across customs brokerage operations.

Job Type: Full Time

Salary: $65,100 - $87,500*

*The above stated pay range is the anticipated starting salary range for the position. The Company may adjust this range in light of prevailing market conditions and other factors such as location. The Company will work directly with the selected candidate(s) on the final starting salary in accordance with all applicable laws.

Benefits: Full time employees are eligible for Health Insurance, Paid Time Off, and 401k Match.

Notice to applicants applying to positions in the United States

You must be authorized to work for any employer in the U.S. Relocation & Immigration support is not available for this position.

#LI-JL3 #RPO

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.

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