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Manager Data Analytics Engineer Jobs in Paramus, NJ

This role bridges analytics, data engineering, and applied data science, transforming complex and ... Strong time management with a focus on delivery and accountability. * Clear written and verbal ...

As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive ... Apply effective data testing and sensitive data management strategies to ensure the quality and ...

Manager, Data Operations

Manhattan, NY · On-site

$190K - $205K/yr

The Manager, Data Operations leads the design, reliability, and day-to-day execution of the company's core data pipelines and analytics infrastructure while directly managing a team of Data Engineers ...

... manage their substance use. If you're passionate about AI and making an impact on the health of ... Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data ...

Senior Analytics Engineer

New York, NY · On-site +1

$126K - $180K/yr

Partner with product managers, data engineers, and business stakeholders to translate business requirements into scalable data models and actionable insights * Perform analysis to derive actionable ...

Senior Analytics Engineer

New York, NY · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Implement metadata management, data lineage, and security principles such as least-privilege access

Partner with product managers, data engineers, and business stakeholders to translate business requirements into scalable data models and actionable insights * Perform analysis to derive actionable ...

Analytics Engineer

New York, NY · On-site

$125K - $215K/yr

Manage and optimize PermitFlow's data stack to support scalable reporting and insights. What We're Looking For * 3+ years of experience in analytics engineering, data engineering, or data analytics ...

They are seeking a Senior Analytics Engineer to scale data modeling and delivery across the company ... data models, context, and systems used to manage it • Build modern analytics foundations that ...

Senior Analytics Engineer

New York, NY · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Implement metadata management, data lineage, and security principles such as least-privilege access

Analytics Engineer

New York, NY · Remote

$125K - $215K/yr

Manage and optimize PermitFlow's data stack to support scalable reporting and insights. What We're Looking For * 3+ years of experience in analytics engineering, data engineering, or data analytics ...

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Implement metadata management, data lineage, and security principles such as least-privilege access

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Showing results 41-60

Manager Data Analytics Engineer information

See Paramus, NJ salary details

$45K

$131.3K

$179.6K

How much do manager data analytics engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for manager data analytics engineer in Paramus, NJ is $131,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $139,100.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What job categories do people searching Manager Data Analytics Engineer jobs in Paramus, NJ look for? The top searched job categories for Manager Data Analytics Engineer jobs in Paramus, NJ are:
What cities near Paramus, NJ are hiring for Manager Data Analytics Engineer jobs? Cities near Paramus, NJ with the most Manager Data Analytics Engineer job openings:
Analytics Engineer

$132K - $142K/yr

Full-time

Posted 9 days ago


New York Blood Center rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

The Analytics Engineer is a highly technical, business-facing role responsible for delivering deep analytical insights, rapid analytics solutions, and advanced data products in support of discovery and research teams. This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

The Analytics Engineer operates with a high degree of independence, demonstrates strong ownership of outcomes, and is expected to rapidly acquire domain knowledge. The role emphasizes advanced SQL and Python proficiency, exploratory analysis, and an active interest in data science and AI-driven solutions.

Advanced Data Analysis & Discovery Support

  • Conduct deep, hypothesis-driven exploratory data analysis to support discovery, research, and operational decision-making.
  • Translate ambiguous business questions into structured analysis.
  • Serve as a partner to discovery team, providing analytics support.

Rapid Analytics Delivery

  • Design, develop, and deliver high-quality dashboards, reports, and ad-hoc analyses with fast turnaround times.
  • Produce executive- and stakeholder ready outputs with minimal rework.
  • Balance speed and rigor while maintaining high standards of data quality.

Technical Analytics Engineering

  • Develop complex SQL queries and conduct performance and quality checks.
  • Use Python for data analysis, feature engineering, and analytical modeling.
  • Build reusable analytical assets to accelerate future discovery efforts.

Data Science & AI Enablement

  • Collaborate and support data science team in developing AI/ML uses cases.
  • Apply statistical experimentation modeling techniques where appropriate.
  • Maintain active curiosity and learning in analytics, data science, and AI.

Collaboration & Communication

  • Partner closely with business stakeholders, discovery team to align analytics solutions with business objectives.
  • Clearly communicate analytical findings, assumptions, and limitations to technical and non-technical audiences.
  • Contribute to Agile/SCRUM ceremonies and deliver work predictably within sprint commitments.
  • Continuously improve analytics processes, tooling, and delivery practices.
  • Support modernization and migration initiatives from legacy reporting platforms.
  • Participate in on-call or escalation support rotations as needed.
  • Mentor peers on analytics best practices when appropriate.

Location Specific Details

  • Work Location: Hybrid, Remote, or On-Site.
  • While this role supports flexible work arrangements, the individual must be located within commuting distance of a division location. Periodic on-site presence will be required to support collaboration, discovery activities, and business needs.

Education:

  • Bachelor’s degree in data science, Computer Science, Engineering, Mathematics, Business Analytics, or a related field.

Experience:

  • 5+ years of experience in advanced analytics, data analysis, analytics engineering, or similar roles.
  • Demonstrated experience delivering business-facing analytical solutions in complex environments.
  • Strong experience with SQL and Python applied to real-world analytics problems.

Knowledge:

  • Advanced knowledge of SQL and data models.
  • Strong understanding of analytics workflows, exploratory analysis, and data validation.
  • Working knowledge of data science and AI concepts.
  • Understanding of data governance and quality principles.

Skills:

  • Cultural competency and the ability to communicate effectively in a culturally sensitive manner with both individuals and groups from diverse backgrounds.
  • Exceptional analytical and critical thinking skills.
  • Ability to rapidly analyze, synthesize, and communicate insights.
  • Strong time management with a focus on delivery and accountability.
  • Clear written and verbal communication skills.

Abilities:

  • Ability to operate independently with minimal oversight.
  • Ability to manage ambiguity and drive work from problem definition to solution.
  • Ability to engage confidently with senior stakeholders and discovery teams.
  • Ability to continuously learn and adapt in a fast-evolving analytics environment.

Any combination of education, training and experience equivalent to the requirements above that has supplied the necessary knowledge, skills, and experience to perform the essential functions of the job.

For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is $132,000.00p/yr. to $142,000.00p/yr. For applicants who will perform this position outside of New York City or Westchester County, salary will reflect local market rates and be commensurate with the applicant’s skills, job-related knowledge, and experience.

Position reporting into our New York location: $132,000 - $142,000

Positions reporting into our Rhode Island location: $124,000 - $134,000

Positions reporting into our Minnesota location:  $124,000 - $134,000

Position reporting into our Delaware location: $119,000 - $129,000

Positions reporting into our Nebraska location:$119,000 - $129,000

Positions reporting into our Missouri location: $119,000 - $129,000


Founded in 1964, New York Blood Center (NYBC) has served the tri-state area for more than 60 years, delivering 500,000 lifesaving blood products annually to 150+ hospitals, EMS and healthcare partners. NYBC is part of New York Blood Center Enterprises (NYBCe), which spans 17+ states and delivers one million blood products to 400+ U.S. hospitals annually. NYBCe additionally delivers cellular therapies, specialty pharmacy, and medical services to 200+ research, academic and biopharmaceutical organizations. NYBCe’s Lindsley F. Kimball Research Institute is a leader in hematology and transfusion medicine research, dedicated to the study, prevention, treatment and cure of bloodborne and blood-related diseases. NYBC serves as a vital community lifeline dedicated to helping patients and advancing global public health. To learn more, visit nybc.org. Connect with us on Facebook, X, Instagram, and LinkedIn.


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