Data Science & Analytics Manager
A.P. Moller - Maersk · Elizabeth, NJ · 2 wk ago
Analyst$130k–$150k/yrFull-time
We need to output HTML fragment with headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate like EEO, legal, accommodation notices, etc. Also remove navigation, cookie, etc. Must not include filler sections like Pay/Schedule/Benefits unless posting actually states them. The posting includes Salary: $130K - $150K, Location: Elizabeth, NJ (5 days in office). That's pay and schedule info. Benefits? Not explicitly listed; there is "What We Can Offer" which includes learning culture, diverse workplace, lead high-impact analytics agenda, work with rich data, exposure, build capability. That's more like benefits but not explicit benefits like health insurance. Could treat as Benefits section? The instruction: "Prefer a few substantive sections over many thin ones." We can include Benefits if there is content. The "What We Can Offer" seems like benefits/opportunities. Could map to Benefits section. Also we have Pay (salary) and Schedule (5 days in office). So include those sections.
We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We need to decide what goes where.
About the role: likely the introductory paragraph about APM Terminals Elizabeth, the role purpose. Could be first paragraph: "APM Terminals Step into the engine room...". Actually the job title line: "Data Science and Analytics Manager". The description after that: "Based at APM Terminals Elizabeth, the Data Science and Analytics Manager will shape and lead..." That's more responsibilities. The earlier paragraphs about the terminal could be About the role.
Let's parse:
- Opening: "APM Terminals Step into the engine room of global commerce. At APM Terminals Elizabeth, you’ll be at the center of one of the busiest port complexes in North America. Every container you touch keeps freight moving through the Port of New York / New Jersey, supporting critical supply chains across the East Coast and beyond. This is a place where speed, scale, and precision come together. You’ll collaborate with high- performing teams in a fast-paced, high-volume environment where safety and operational excellence are the top priorities. Here, your impact is immediate—and global. Why you’ll love it here Be part of a major gateway on the U.S. East Coast Experience high-volume, complex terminal operations Work with driven teams in a fast-moving environment Continuous improvement mindset – where curiosity is encouraged, root-cause problem solving is valued, and making things better every day is part of how we win"
That's about the role and why you'll love it.
Then "Data Science and Analytics Manager Based at APM Terminals Elizabeth, the Data Science and Analytics Manager will shape and lead the terminal’s analytics capability, turning complex operational data into decisions that improve safety, service, productivity, capacity, and cost performance. This role offers end-to-end ownership of the analytics roadmap, from identifying high-value opportunities through developing, deploying, and scaling solutions used in live terminal operations."
That's also role description.
Then "What We Can Offer At APM Terminals, we foster a dynamic learning and training culture that empowers our employees to excel. Our commitment to improvement means every team member has the opportunity to develop their skills and advance their careers by continuously refining how we work. Experience a diverse, multinational workplace where your operational insights directly influence how we work. Lead and define a high-impact analytics agenda that directly supports terminal performance and modernization initiatives.Work with rich operational data and influence daily decisions across vessel, yard, gate, rail, labor, equipment, and asset management activities.Gain exposure to operational and senior leadership teams while collaborating with regional and global analytics communities.Build and develop an emerging analytics capability while helping drive technology and operational transformation."
That's benefits/opportunities.
Then "Key Responsibilities" list bullet points.
Then "What We Are Looking For" includes continuous improvement mindset, leadership expectation, Master's degree, proven success, strong Python and SQL, experience taking analytical solutions from concept through production, ability to communicate, experience with cloud platforms etc., ability to obtain TWIC and Port Access Card.
That's qualifications/requirements/skills.
We need to map to sections: About the role (intro), Responsibilities (Key Responsibilities), Requirements (maybe combine what we are looking for?), Qualifications (education/experience), Skills (technical skills), Benefits (What We Can Offer), Pay (salary), Schedule (location and days in office).
We must not repeat job title as heading. Must not include Job ID etc. Must not include boilerplate EEO etc. Must discard accommodation notices, legal statements.
We must preserve all substantive information. So we need to include all bullet points from Key Responsibilities and What We Are Looking For, but we can organize them under appropriate headings.
We need to use
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate like EEO, legal, accommodation notices, etc. Also remove navigation, cookie, etc. Must not include filler sections like Pay/Schedule/Benefits unless posting actually states them. The posting includes Salary: $130K - $150K, Location: Elizabeth, NJ (5 days in office). That's pay and schedule info. Benefits? Not explicitly listed; there is "What We Can Offer" which includes learning culture, diverse workplace, lead high-impact analytics agenda, work with rich data, exposure, build capability. That's more like benefits but not explicit benefits like health insurance. Could treat as Benefits section? The instruction: "Prefer a few substantive sections over many thin ones." We can include Benefits if there is content. The "What We Can Offer" seems like benefits/opportunities. Could map to Benefits section. Also we have Pay (salary) and Schedule (5 days in office). So include those sections.
We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We need to decide what goes where.
About the role: likely the introductory paragraph about APM Terminals Elizabeth, the role purpose. Could be first paragraph: "APM Terminals Step into the engine room...". Actually the job title line: "Data Science and Analytics Manager". The description after that: "Based at APM Terminals Elizabeth, the Data Science and Analytics Manager will shape and lead..." That's more responsibilities. The earlier paragraphs about the terminal could be About the role.
Let's parse:
- Opening: "APM Terminals Step into the engine room of global commerce. At APM Terminals Elizabeth, you’ll be at the center of one of the busiest port complexes in North America. Every container you touch keeps freight moving through the Port of New York / New Jersey, supporting critical supply chains across the East Coast and beyond. This is a place where speed, scale, and precision come together. You’ll collaborate with high- performing teams in a fast-paced, high-volume environment where safety and operational excellence are the top priorities. Here, your impact is immediate—and global. Why you’ll love it here Be part of a major gateway on the U.S. East Coast Experience high-volume, complex terminal operations Work with driven teams in a fast-moving environment Continuous improvement mindset – where curiosity is encouraged, root-cause problem solving is valued, and making things better every day is part of how we win"
That's about the role and why you'll love it.
Then "Data Science and Analytics Manager Based at APM Terminals Elizabeth, the Data Science and Analytics Manager will shape and lead the terminal’s analytics capability, turning complex operational data into decisions that improve safety, service, productivity, capacity, and cost performance. This role offers end-to-end ownership of the analytics roadmap, from identifying high-value opportunities through developing, deploying, and scaling solutions used in live terminal operations."
That's also role description.
Then "What We Can Offer At APM Terminals, we foster a dynamic learning and training culture that empowers our employees to excel. Our commitment to improvement means every team member has the opportunity to develop their skills and advance their careers by continuously refining how we work. Experience a diverse, multinational workplace where your operational insights directly influence how we work. Lead and define a high-impact analytics agenda that directly supports terminal performance and modernization initiatives.Work with rich operational data and influence daily decisions across vessel, yard, gate, rail, labor, equipment, and asset management activities.Gain exposure to operational and senior leadership teams while collaborating with regional and global analytics communities.Build and develop an emerging analytics capability while helping drive technology and operational transformation."
That's benefits/opportunities.
Then "Key Responsibilities" list bullet points.
Then "What We Are Looking For" includes continuous improvement mindset, leadership expectation, Master's degree, proven success, strong Python and SQL, experience taking analytical solutions from concept through production, ability to communicate, experience with cloud platforms etc., ability to obtain TWIC and Port Access Card.
That's qualifications/requirements/skills.
We need to map to sections: About the role (intro), Responsibilities (Key Responsibilities), Requirements (maybe combine what we are looking for?), Qualifications (education/experience), Skills (technical skills), Benefits (What We Can Offer), Pay (salary), Schedule (location and days in office).
We must not repeat job title as heading. Must not include Job ID etc. Must not include boilerplate EEO etc. Must discard accommodation notices, legal statements.
We must preserve all substantive information. So we need to include all bullet points from Key Responsibilities and What We Are Looking For, but we can organize them under appropriate headings.
We need to use - for any list of duties/requirements/benefits. Use
for prose.
We must not create sections with filler like "commensurate with experience". We have actual content.
Let's extract content.
**About the role** (prose): Combine the opening paragraphs and "Why you'll love it here" bullet-like statements but they are not list; they are sentences separated by line breaks. We'll put as
maybe multiple paragraphs.
Content:
"APM Terminals Step into the engine room of global commerce. At APM Terminals Elizabeth, you’ll be at the center of one of the busiest port complexes in North America. Every container you touch keeps freight moving through the Port of New York / New Jersey, supporting critical supply chains across the East Coast and beyond. This is a place where speed, scale, and precision come together. You’ll collaborate with high- performing teams in a fast-paced, high-volume environment where safety and operational excellence are the top priorities. Here, your impact is immediate—and global.
Why you’ll love it here:
- Be part of a major gateway on the U.S. East Coast
- Experience high-volume, complex terminal operations
- Work with driven teams in a fast-moving environment
- Continuous improvement mindset – where curiosity is encouraged, root-cause problem solving is valued, and making things better every day is part of how we win"
We can turn the bullet list into
- . The "Why you’ll love it here" is a heading? Not needed; we can just include as list.
**Responsibilities**: list from Key Responsibilities.
Bullet points:
- Define and execute the terminal’s data science and analytics strategy, roadmap, operating model, and prioritized portfolio aligned with business priorities.
- Partner with operational and functional leaders to identify high-value business problems, establish baselines, and deliver measurable outcomes.
- Develop predictive, prescriptive, and optimization solutions across operational use cases including productivity, capacity, forecasting, reliability, and planning.
- Lead analytics products through the full lifecycle from problem definition and data preparation to deployment, monitoring, and continuous improvement.
- Establish trusted KPI frameworks, reporting solutions, reusable data products, and self-service analytics capabilities.
- Translate complex analytical findings into actionable recommendations, scenarios, and decision-support tools for operational and senior leaders.
- Promote data quality, governance, responsible AI practices, and alignment with enterprise technology standards while building analytics capability across the organization.
**Requirements**: maybe combine "What We Are Looking For" but separate into Requirements (maybe experience, leadership) and Qualifications (education) and Skills (technical). Let's parse:
"What We Are Looking For" includes:
- Continuous improvement mindset: we are looking for someone who brings a thoughtful improvement mindset—curious about how work gets done and motivated to make meaningful, sustainable improvements over time.
- Leadership expectation: We are looking for people who consistently put customers first, lead by example with respect for people, deliver results with integrity, and drive continuous improvement by solving problems at the root, developing people, and raising standards every day.
- Master’s degree in data science, computer science, statistics, mathematics, engineering, operations research, or a related quantitative discipline, or equivalent practical experience.
- Proven success delivering analytics, machine learning, optimization, or decision-support solutions in complex operational, industrial, logistics, transportation, supply chain, or asset-intensive environments.
- Strong Python and SQL expertise, including experience working with common data science libraries and modern data environments.
- Experience taking analytical solutions from concept through production deployment, adoption, and performance monitoring while delivering measurable operational or financial improvements.
- Ability to communicate complex analysis clearly, influence stakeholders, and lead people, projects, vendors, and cross-functional teams.
- Experience with cloud platforms, business intelligence tools, data engineering practices, MLOps, and advanced analytics techniques such as forecasting, optimization, simulation, anomaly detection, computer vision, generative AI, large language models, or digital twins is advantageous.
- Ability to obtain and maintain a Transportation Worker Identification Credential (TWIC) and Port Access Card.
We can categorize:
Requirements: maybe the mandatory items: Master's degree, proven success, strong Python and SQL, experience taking solutions to production, ability to communicate, ability to obtain TWIC/Port Access Card.
Qualifications: maybe education (Master's degree) and equivalent experience.
Skills: technical skills: Python, SQL, cloud platforms, BI tools, data engineering, MLOps, advanced analytics techniques.
But we need to avoid duplication. Let's decide:
Section "Requirements": list of mandatory qualifications/experience (Master's degree or equivalent, proven success, strong Python and SQL, experience taking solutions from concept to production, ability to communicate complex analysis, ability to obtain TWIC/Port Access Card). Could also include leadership expectation and continuous improvement mindset as requirements? They are more like competencies.
Section "Qualifications": maybe education (Master's degree) and equivalent practical experience. But that overlaps with Requirements. To avoid thin sections, maybe combine Requirements and Qualifications into one? But the instruction says use headings only when posting has real specific content for it. We can have both if we have distinct content.
We could do:
- Requirements: leadership expectation, continuous improvement mindset, ability to obtain TWIC/Port Access Card.
- Qualifications: Master's degree or equivalent, proven success delivering analytics etc.
- Skills: Python, SQL, cloud platforms, BI tools, data engineering, MLOps, advanced analytics techniques.
But we need to ensure we don't lose any content.
Let's extract each bullet and assign.
Bullet list from "What We Are Looking For":
1. Continuous improvement mindset: we are looking for someone who brings a thoughtful improvement mindset—curious about how work gets done and motivated to make meaningful, sustainable improvements over time. -> could be under Requirements (or maybe under Qualities). We'll put under Requirements as a competency.
2. Leadership expectation: We are looking for people who consistently put customers first, lead by example with respect for people, deliver results with integrity, and drive continuous improvement by solving problems at the root, developing people, and raising standards every day. -> also Requirements.
3. Master’s degree in data science, computer science, statistics, mathematics, engineering, operations research, or a related quantitative discipline, or equivalent practical experience. -> Qualifications.
4. Proven success delivering analytics, machine learning, optimization, or decision-support solutions in complex operational, industrial, logistics, transportation, supply chain, or asset-intensive environments. -> Qualifications (experience).
5. Strong Python and SQL expertise, including experience working with common data science libraries and modern data environments. -> Skills.
6. Experience taking analytical solutions from concept through production deployment, adoption, and performance monitoring while delivering measurable operational or financial improvements. -> could be Qualifications (experience) or Skills. We'll put under Qualifications as experience.
7. Ability to communicate complex analysis clearly, influence stakeholders, and lead people, projects, vendors, and cross-functional teams. -> Requirements (soft skill).
8. Experience with cloud platforms, business intelligence tools, data engineering practices, MLOps, and advanced analytics techniques such as forecasting, optimization, simulation, anomaly detection, computer vision, generative AI, large language models, or digital twins is advantageous. -> Skills (advantageous).
9. Ability to obtain and maintain a Transportation Worker Identification Credential (TWIC) and Port Access Card. -> Requirements (certification).
Thus we
for prose. We must not create sections with filler like "commensurate with experience". We have actual content. Let's extract content. **About the role** (prose): Combine the opening paragraphs and "Why you'll love it here" bullet-like statements but they are not list; they are sentences separated by line breaks. We'll put as
maybe multiple paragraphs. Content: "APM Terminals Step into the engine room of global commerce. At APM Terminals Elizabeth, you’ll be at the center of one of the busiest port complexes in North America. Every container you touch keeps freight moving through the Port of New York / New Jersey, supporting critical supply chains across the East Coast and beyond. This is a place where speed, scale, and precision come together. You’ll collaborate with high- performing teams in a fast-paced, high-volume environment where safety and operational excellence are the top priorities. Here, your impact is immediate—and global. Why you’ll love it here: - Be part of a major gateway on the U.S. East Coast - Experience high-volume, complex terminal operations - Work with driven teams in a fast-moving environment - Continuous improvement mindset – where curiosity is encouraged, root-cause problem solving is valued, and making things better every day is part of how we win" We can turn the bullet list into
- . The "Why you’ll love it here" is a heading? Not needed; we can just include as list. **Responsibilities**: list from Key Responsibilities. Bullet points: - Define and execute the terminal’s data science and analytics strategy, roadmap, operating model, and prioritized portfolio aligned with business priorities. - Partner with operational and functional leaders to identify high-value business problems, establish baselines, and deliver measurable outcomes. - Develop predictive, prescriptive, and optimization solutions across operational use cases including productivity, capacity, forecasting, reliability, and planning. - Lead analytics products through the full lifecycle from problem definition and data preparation to deployment, monitoring, and continuous improvement. - Establish trusted KPI frameworks, reporting solutions, reusable data products, and self-service analytics capabilities. - Translate complex analytical findings into actionable recommendations, scenarios, and decision-support tools for operational and senior leaders. - Promote data quality, governance, responsible AI practices, and alignment with enterprise technology standards while building analytics capability across the organization. **Requirements**: maybe combine "What We Are Looking For" but separate into Requirements (maybe experience, leadership) and Qualifications (education) and Skills (technical). Let's parse: "What We Are Looking For" includes: - Continuous improvement mindset: we are looking for someone who brings a thoughtful improvement mindset—curious about how work gets done and motivated to make meaningful, sustainable improvements over time. - Leadership expectation: We are looking for people who consistently put customers first, lead by example with respect for people, deliver results with integrity, and drive continuous improvement by solving problems at the root, developing people, and raising standards every day. - Master’s degree in data science, computer science, statistics, mathematics, engineering, operations research, or a related quantitative discipline, or equivalent practical experience. - Proven success delivering analytics, machine learning, optimization, or decision-support solutions in complex operational, industrial, logistics, transportation, supply chain, or asset-intensive environments. - Strong Python and SQL expertise, including experience working with common data science libraries and modern data environments. - Experience taking analytical solutions from concept through production deployment, adoption, and performance monitoring while delivering measurable operational or financial improvements. - Ability to communicate complex analysis clearly, influence stakeholders, and lead people, projects, vendors, and cross-functional teams. - Experience with cloud platforms, business intelligence tools, data engineering practices, MLOps, and advanced analytics techniques such as forecasting, optimization, simulation, anomaly detection, computer vision, generative AI, large language models, or digital twins is advantageous. - Ability to obtain and maintain a Transportation Worker Identification Credential (TWIC) and Port Access Card. We can categorize: Requirements: maybe the mandatory items: Master's degree, proven success, strong Python and SQL, experience taking solutions to production, ability to communicate, ability to obtain TWIC/Port Access Card. Qualifications: maybe education (Master's degree) and equivalent experience. Skills: technical skills: Python, SQL, cloud platforms, BI tools, data engineering, MLOps, advanced analytics techniques. But we need to avoid duplication. Let's decide: Section "Requirements": list of mandatory qualifications/experience (Master's degree or equivalent, proven success, strong Python and SQL, experience taking solutions from concept to production, ability to communicate complex analysis, ability to obtain TWIC/Port Access Card). Could also include leadership expectation and continuous improvement mindset as requirements? They are more like competencies. Section "Qualifications": maybe education (Master's degree) and equivalent practical experience. But that overlaps with Requirements. To avoid thin sections, maybe combine Requirements and Qualifications into one? But the instruction says use headings only when posting has real specific content for it. We can have both if we have distinct content. We could do: - Requirements: leadership expectation, continuous improvement mindset, ability to obtain TWIC/Port Access Card. - Qualifications: Master's degree or equivalent, proven success delivering analytics etc. - Skills: Python, SQL, cloud platforms, BI tools, data engineering, MLOps, advanced analytics techniques. But we need to ensure we don't lose any content. Let's extract each bullet and assign. Bullet list from "What We Are Looking For": 1. Continuous improvement mindset: we are looking for someone who brings a thoughtful improvement mindset—curious about how work gets done and motivated to make meaningful, sustainable improvements over time. -> could be under Requirements (or maybe under Qualities). We'll put under Requirements as a competency. 2. Leadership expectation: We are looking for people who consistently put customers first, lead by example with respect for people, deliver results with integrity, and drive continuous improvement by solving problems at the root, developing people, and raising standards every day. -> also Requirements. 3. Master’s degree in data science, computer science, statistics, mathematics, engineering, operations research, or a related quantitative discipline, or equivalent practical experience. -> Qualifications. 4. Proven success delivering analytics, machine learning, optimization, or decision-support solutions in complex operational, industrial, logistics, transportation, supply chain, or asset-intensive environments. -> Qualifications (experience). 5. Strong Python and SQL expertise, including experience working with common data science libraries and modern data environments. -> Skills. 6. Experience taking analytical solutions from concept through production deployment, adoption, and performance monitoring while delivering measurable operational or financial improvements. -> could be Qualifications (experience) or Skills. We'll put under Qualifications as experience. 7. Ability to communicate complex analysis clearly, influence stakeholders, and lead people, projects, vendors, and cross-functional teams. -> Requirements (soft skill). 8. Experience with cloud platforms, business intelligence tools, data engineering practices, MLOps, and advanced analytics techniques such as forecasting, optimization, simulation, anomaly detection, computer vision, generative AI, large language models, or digital twins is advantageous. -> Skills (advantageous). 9. Ability to obtain and maintain a Transportation Worker Identification Credential (TWIC) and Port Access Card. -> Requirements (certification). Thus we