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Senior Analytics Manager Jobs in Summit, NJ (NOW HIRING)

Senior Analytics Engineer

New York, NY ยท On-site

$170K - $190K/yr

As our Senior Analytics Engineer, you'll own the analytics layer end-to-end: the dbt models, the ... Manage our production dbt jobs and their SLAs (currently targeting 7AM ET freshness), monitor ...

Senior Analytics Engineer, Finance

New York, NY ยท On-site

$155K - $235K/yr

Experience managing data warehouse (preferably Snowflake) * Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir) Compensation $155,000 - $235,000 USD Depending on your ...

Senior Marketing Analytics Manager

New York, NY ยท On-site

$154K - $209K/yr

For this growing team, we're looking for a curious marketing analytics manager to help us build the foundations of measuring and understanding the impact of our media spend. You will play a key role ...

You will report to the Senior Manager of Retail Analytics and will be integrated into one of our Retail partnership team * You will be a valued team member of the Centralized Insights & Analytics ...

The primary role of the Manager is to develop effective and high-quality data analysis, insights ... Lead and teach analysts and sr. analysts on best practices of marketing analytics. * Provide ...

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Senior Analytics Manager information

See Summit, NJ salary details

$47.8K

$121.6K

$179K

How much do senior analytics manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior analytics manager in Summit, NJ is $121,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $143,400.00 per year, depending on experience, location, and employer.

What does a senior analytics manager do?

A Senior Analytics Manager leads a team of analysts to interpret data, develop insights, and inform business strategy. They are responsible for overseeing data collection, ensuring data quality, and presenting actionable findings to stakeholders. In addition, they often collaborate cross-functionally with other departments to support decision-making and optimize business processes. Senior Analytics Managers also play a major role in mentoring team members and implementing best practices in data analysis.

What are the key skills and qualifications needed to thrive as a senior analytics manager, and why are they important?

To thrive as a Senior Analytics Manager, you need advanced analytical skills, a solid background in statistics or data science, and experience leading analytics projects, often supported by a relevant degree. Proficiency in tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI, as well as certifications in analytics or data management, is highly valued. Exceptional leadership, communication, and problem-solving abilities help drive team performance and translate data insights into business strategy. These competencies are crucial for delivering actionable insights, influencing decision-making, and ensuring data-driven success across the organization.

What are the main challenges senior analytics managers face when leading cross-functional analytics projects?

Senior Analytics Managers often encounter challenges such as aligning stakeholders from different departments, managing competing priorities, and ensuring data consistency across sources. Effective communication is essential to translate complex analytical insights into actionable strategies that resonate with both technical and non-technical team members. Additionally, they must balance hands-on analytical work with mentoring junior analysts and driving project delivery to meet organizational goals.

What is the difference between Senior Analytics Manager vs Data Analyst?

AspectSenior Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Analytics, Statistics, or related field; experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageCommon in corporate, finance, tech sectors for strategic insightsUsed across various industries for data interpretation and reporting

The Senior Analytics Manager typically oversees analytics teams, manages strategic projects, and interacts with leadership, requiring more experience and leadership skills. Data Analysts focus on data collection, analysis, and reporting, often supporting Senior Managers. The roles differ mainly in scope, responsibility, and seniority, but both require strong analytical skills and relevant credentials.

What job categories do people searching Senior Analytics Manager jobs in Summit, NJ look for?

The top searched job categories for Senior Analytics Manager jobs in Summit, NJ are:

What cities near Summit, NJ are hiring for Senior Analytics Manager jobs?

Cities near Summit, NJ with the most Senior Analytics Manager job openings:

Infographic showing various Senior Analytics Manager job openings in Summit, NJ as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $121,637 per year, or $58.5 per hour.

Senior Analytics Engineer

Brigit

New York, NY โ€ข On-site

$170K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!
Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others:
  • Built In's 2026 Best Midsize Companies to Work For in New York City
  • Built In's 2025 Best Places to Work For In New York City
  • Built In's 2024 & 2025 Best Startups to Work For In the U.S.
  • Built In's 2023 - 2025 Best Startups to Work For In New York City
  • Fast Company's Most Innovative Companies of 2022
  • Business Insider's Most Promising Consumer Startups 2022
  • Forbes Fintech 50 2022

The Role
Brigit is a financial health platform helping everyday Americans build financial resilience. Our Data team sits at the center of every product, pricing, and promotion decision - and Analytics Engineering is the foundation that makes trustworthy, consistent data possible across the company.
As our Senior Analytics Engineer, you'll own the analytics layer end-to-end: the dbt models, the orchestration, the documentation, and much of the metric definitions that the entire company relies on. This is a high-ownership, high-visibility IC role. You'll be the connective tissue between raw data and the analysts, PMs, and finance partners who depend on it every day.
What you'll be doing
  • Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in Snowflake. You'll be a code owner on the repo and will uphold and improve our SQL style, materialization patterns, incremental model conventions, and layered architecture.
  • Orchestrate the analytics pipeline. Manage our production dbt jobs and their SLAs (currently targeting 7AM ET freshness), monitor runtimes in Metaplane, and proactively tune orchestration to keep jobs healthy as the data volume grows.
  • Define and defend shared metrics. Be the authority on key metric definitions and ensure analysts, dashboards, and downstream models are using the canonical source. Participate in definition discussions and ensure decisions are documented.
  • Drive documentation culture. Build and own our Data tables documentation wiki and dbt model documentation. Write runbooks for incident response, onboarding guides, and contribution standards so the team can operate confidently and we can easily provide context for various genAI tools
  • Lead data quality and observability. Manage Metaplane monitors, triage alerts, and maintain data contracts with downstream consumers. Debug anomalies end-to-end - from ingestion to the dashboard.
  • Deprecate the old, build the new. Continuously identify models that no longer serve us, shepherd them through deprecation with proper signoff, and clean up corresponding warehouse tables and monitors.
  • Support compliance and vendor management. Handle audit and compliance reviews involving our dbt and BI tooling (Upbound/SOX), manage our dbt contract renewals, and track consumption-based usage.
  • Mentor the broader data team. Run code reviews with domain analysts, establish review coverage by product area, and help analysts grow their dbt contribution skills.

What you have
  • 5+ years of experience in analytics engineering, data engineering, or a closely related role
  • Strong SQL and data modeling fundamentals with opinions about mart layer architecture
  • Experience with Snowflake (or comparable cloud warehouse) in a production context
  • Comfort owning orchestration tooling (Airflow, dbt Cloud, or equivalent)
  • A track record of building durable documentation that actually gets used
  • Strong communication skills across both technical and business audiences
  • Curiosity and drive to explore and integrate new tools in a rapidly evolving landscape
  • Ownership mindset and a bias for action

The anticipated annual base salary for this position is $170,000 - $190,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Our Benefits & Team:
  • Medical, dental, and vision insurance
  • Flexible PTO Policy
  • 401k plan
  • Paid Parental Leave
  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
  • Monthly reimbursements to use against wifi and cell phone bills
  • Annual reimbursement for Learning & Development
  • Help hard working Americans build a brighter financial future
  • High-growth company
  • A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.
Disclosures:
  • For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
  • Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.