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Manager Data Analytics Engineer Jobs in Edison, NJ

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

You will also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from ...

... data engineering and analytics roles. * Strong proficiency in SQL and analytics tools ... Proven experience in financial services and wealth management domains with expertise in stock plans ...

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

... the engineering, data, and customer success teams to implement solutions. The Manager, Data ... The Manager, Data Analytics works to drive the scoping & execution of analytical requests ...

New

Manager, Data & Analytics We're a leading talent representation agency at the intersection of ... Monitor data quality and work with data engineers and external vendors (if applicable) to resolve ...

Data Analytics Engineer

New York, NY · On-site

$200K - $240K/yr

... in data engineering with strong SQL and deep Snowflake expertise * Experience designing efficient, scalable analytical data models * Proficiency with dbt or comparable transformation frameworks

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

... the engineering, data, and customer success teams to implement solutions. The Manager, Data ... The Manager, Data Analytics works to drive the scoping & execution of analytical requests ...

New

Manager, Data Analytics

New York, NY · On-site

$123K - $161K/yr

... the engineering, data, and customer success teams to implement solutions. The Manager, Data ... The Manager, Data Analytics works to drive the scoping & execution of analytical requests ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Job Summary: We're looking for a Manager, Data & Analytics to help build our internal reporting ... Monitor data quality and work with data engineers and external vendors (if applicable) to resolve ...

Job Summary: We're looking for a Manager, Data & Analytics to help build our internal reporting ... Monitor data quality and work with data engineers and external vendors (if applicable) to resolve ...

Job Summary: We're looking for a Manager, Data & Analytics to help build our internal reporting ... Monitor data quality and work with data engineers and external vendors (if applicable) to resolve ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Bachelor's degree in engineering, information systems, computer science, business administration ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Manager, Data Analytics

Parsippany, NJ · On-site

$70K - $140K/yr

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data into actionable insights that drive real-world impact? Are you passionate about the healthcare ...

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data into actionable insights that drive real-world impact? Are you passionate about the healthcare ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Edison, NJ salary details

$46.1K

$134.3K

$183.8K

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

As of Jun 29, 2026, the average yearly pay for manager data analytics engineer in Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 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 are popular job titles related to Manager Data Analytics Engineer jobs in Edison, NJ? For Manager Data Analytics Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Edison, NJ look for? The top searched job categories for Manager Data Analytics Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Manager Data Analytics Engineer jobs? Cities near Edison, NJ with the most Manager Data Analytics Engineer job openings:

Data & Analytics Engineer

Forus Inc

New York, NY • On-site

$170K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

About us
Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.
Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.
Forus has exceptional product-market fit and is growing rapidly through organic adoption:
  • Accelerating scale: We already support patients across more than 80% of ZIP codes and partner with 5 of the 10 largest biopharma companies in the world.
  • AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.
  • Backing to build for the long term: We raised $160M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.

Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.
If we succeed, science will be the only limit to medicine.
All full-time roles are in person in New York.
About the role
As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines, and reporting infrastructure, ensuring the right people have access to clean, trustworthy, decision-grade data. This is a cross-functional, impact-heavy role in which you will work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company.
You will also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from product usage visibility to operational performance to life sciences client reporting.
This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.
If you join, you will:
  • Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights
  • Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables
  • Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM
  • Define and enforce metric consistency across teams - including core business KPIs and product usage definitions
  • Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)
  • Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
  • Contribute to internal data culture through documentation, education, and code quality standards

We're looking for you if you have:
  • 3-6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
  • Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)
  • Experience designing data models that balance usability, performance, and long-term maintainability
  • Familiarity with the modern data stack - dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)
  • Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
  • Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
  • High NPS with your former teammates

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We're excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.
Working with us
Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo.
We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:
  • Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up.
  • Expand the solution space. Be resourceful and audacious. Resist false constraints and push beyond the obvious before committing.
  • Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones.
  • Raise the bar together. Hold a high standard for execution, push each other directly, and win as a team.

We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay.
We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):
  • Fully covered medical, vision, and dental insurance.
  • Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
  • Unlimited paid time off (PTO) and 16 weeks of parental leave.
  • 401K plan setup, FSA option, commuter benefits, and DashPass.
  • Lunch at the office every day and Dinner at the office after 7 pm.

Our salary ranges are based on paying competitively for our company's size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.