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Manager Data Analytics Engineer Jobs in New Jersey

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model: Hybrid - 3 ... Structure, manage, and extract data from applications. Apply statistics and modeling to provide ...

Learn more at ( Manager, Data Product Management - Governance will support the delivery, adoption ... Analytics, Information Systems, Business Administration, Computer Science, Engineering, Life ...

Learn more at ( Manager, Data Product Management - Governance will support the delivery, adoption ... Analytics, Information Systems, Business Administration, Computer Science, Engineering, Life ...

Take ownership for managing risk and strengthening controls in relation to the work done. * Perform ... Barclays Services Corp. seeks Senior Data Analytics Developer in Whippany, NJ (multiple positions ...

... management. With portfolio concentration in New York City, Vornado also owns premier assets of ... As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ...

... management. With portfolio concentration in New York City, Vornado also owns premier assets of ... As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ...

NJ · Hybrid

$185K/yr

Barclays Services Corp. seeks Senior Data Analytics Developer in Whippany, NJ (multiple positions ... Build reports using financial and Client Relationship Management (CRM) data points using ...

Manage existing data transformation jobs for the Sports Modeling and Innovation team, help optimize ... analytics/data engineering role * 2+ years working on maintaining databases with a focus on ...

$140K - $160K/yr

Manager - Data Engineering Department: Data - Engineering Employment Type: Full Time Location: 1668 ... You will collaborate closely with data analysts, data scientists, technology teams, and business ...

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Manager Data Analytics Engineer information

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.

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 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.

What are the most commonly searched types of Data Analytics Engineer jobs in New Jersey?

The most popular types of Data Analytics Engineer jobs in New Jersey are:

What are popular job titles related to Manager Data Analytics Engineer jobs in New Jersey?

For Manager Data Analytics Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in New Jersey look for?

The top searched job categories for Manager Data Analytics Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Manager Data Analytics Engineer jobs?

Cities in New Jersey with the most Manager Data Analytics Engineer job openings:

Infographic showing various Manager Data Analytics Engineer job openings in New Jersey as of June 2026, with employment types broken down into 3% As Needed, 78% Full Time, 13% Part Time, and 6% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Manager Data Analytics (B2C)

HARAMAIN SYSTEMS INC.

Jersey City, NJ • On-site, Remote

$200K - $250K/yr

Full-time

Re-posted 5 days ago


Job description

Job Description
Role: Head of Data Analytics (B2C)
Location : Remote
Full-time role
Must have working experience in B2C mobile apps
Role Requirements
  • Looking for a head of data analytics with strong analytics skills, not heavy on data engineering.
  • Must have consumer app experience, familiarity with onboarding funnels, and consumer marketing.

Candidate Requirements
  • Must be a strategic communicator, able to work with executives and tell data stories effectively.
  • Needs to have experience in advanced analytics, SQL, and ideally some Python.

Ideal Candidate Profile
  • Strong business sense, possibly with a consulting background; able to be a thought partner at the executive level.
  • Should be a balanced player-coach, competent in managing a small team while being hands-on.

Compensation and Logistics
  • Remote role in the US, with a salary range of $200k-$250k; visa sponsorship is less preferred due to urgency.
  • Owned by Teladoc, providing stability and benefits typical of a public company

Seniority
  • 6+ years of experience in data analytics for consumer products with experience leading teams
  • Work experience
  • 2+ years working in B2C mobile apps
  • 2 - 5 years of direct management expereince is the sweet spot - looking for a Player-coach
  • Experience in a fast paced startup environment (VC backed, rapidly growing mobile app, etc.)

Hard skills
  • Has owned product analytics at a B2C software company - conversion funnels, feature adoption, retention, user segmentation
  • Updated
  • Deep understanding of subscription and mobile app metrics: trial conversion, trial-to-paid modeling, LTV, renewal rates, cohort analysis

Depth with data analytics and engineering tools (SQL, dbt, BigQuery, Python, Mixpanel, Amplitude, etc.)
Experience with mobile UA attribution - MMP (AppsFlyer, Adjust, or similar), SKAN, multi-touch
Practical experience building with AI/LLM tools
Soft skills: Effective communication: when they're asked a question, they answer it succinctly and directly.