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Senior Data Analytics Engineer Jobs in Newark, NJ

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure ... Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives. • Own data ...

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure ... Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives. • Own data ...

StubHub

Senior Analytics Engineer - Data

New York, NY · Hybrid

$200K - $250K/yr

Senior Analytics Engineer - Data (StubHub, Inc., New York, NY) Design, implement, and enhance complex financial data models and analytical pipelines, applying advanced techniques and best practices ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data ... The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ...

Jerseydigs

Senior Data and Analytics Manager

Bloomfield, NJ · On-site

$125 - $150/hr

The Senior Data and Analytics Manager will report directly to the Director of Finance & Operations. Purpose of the Senior Data and Analytics Manager Role Mary's Meals USA is seeking a Senior Data and ...

Fora

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data ... The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ...

Fora Travel

Senior Analytics Engineer

Manhattan, NY · On-site

They are seeking a Senior Analytics Engineer to scale data modeling and delivery across the company, ensuring timely and actionable insights for stakeholders. Responsibilities : • Own and mature ...

Doist

Senior Analytics Engineer

Manhattan, NY · On-site

$150 - $200/hr

We're looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN ... You'll turn raw data from Salesforce, Workday, product systems, and other sources into trusted ...

247Hire

Senior Analytics Engineer

Manhattan, NY · On-site

$125 - $150/hr

Establish core data infrastructure for a new marketing project, transforming raw event data into ... Senior Analytics Engineer Qualifications * Over 5 years of experience in analytics engineering ...

Expeditors

Data Engineer III/Senior (Analytics)

Edison, NJ · On-site

$107K - $146K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Expeditors

Data Engineer III/Senior (Analytics)

Edison, NJ · On-site

$107K - $146K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Newark, NJ

Senior Data Analytics Engineer information

See Newark, NJ salary details

$84.7K

$132.1K

$183K

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

As of Sep 8, 2026, the average yearly pay for senior data analytics engineer in Newark, NJ is $132,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $150,600.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Newark, NJ?

The most popular types of Data Analytics Engineer jobs in Newark, NJ are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Newark, NJ?

For Senior Data Analytics Engineer jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Newark, NJ look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Senior Data Analytics Engineer jobs?

Cities near Newark, NJ with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Newark, NJ as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $132,105 per year, or $63.5 per hour.

Senior Data Analyst, Data Analytics

Current

Manhattan, NY • On-site

$94K - $119K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making across the business.
Responsibilities:
• Own and evolve our core data models, ensuring the analytics layer accurately reflects business logic across the company’s unit economics model.
• Partner directly with leadership and cross-functional teams (Product, Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives.
• Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ensuring models are trustworthy before they reach consumers.
• Provide clear, actionable insight to stakeholders on business performance, customer behaviour, and metric trends - translating complex data into decisions.
• Take ownership of reconciliation workflows, cross-checking mart outputs against source systems and flagging discrepancies.
• Support the broader team with ad hoc analytics requests, with each task building domain context across Current’s metrics and business logic.
• Build and maintain dashboards, reports, and Looker explores that track KPIs across product, finance, and operations.
Qualifications:
Required:
• 5+ years in a data analytics role where you owned multiple concurrent workstreams and operated with a high degree of autonomy.
• At least 2–3 years in a consumer-facing fintech, digital banking, payments, or lending environment, working closely with transactional data, product metrics, and customer behavior at scale.
• Proven track record of taking analytical projects from scoping through to delivery, with ownership over outcomes not just outputs.
• Strong written and verbal communication; comfortable presenting findings and recommendations to non-technical stakeholders and leadership.
• Technical proficiency across the modern data stack.
• Advanced SQL in a cloud data warehouse environment (Snowflake, BigQuery, or Redshift) - window functions, CTEs, and complex joins.
• Hands-on experience with dbt or a comparable transformation tool.
• Working knowledge of Looker or a comparable BI/semantic layer.
• Python for scripting and automation. Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks.
Preferred:
• Familiarity with Unit Economics concepts - ARPU, contribution profit, cohort LTV, interchange - or experience working with transaction-level data at scale.
• Experience working in environments where data accuracy and auditability matter - validating outputs and tracing metric definitions across systems.
• Looker experience is ideal; any hands-on experience building explorers, views, or governed metric layers on top of a mart layer is valuable.
• Experience contributing to roadmaps, running cross-functional workstreams, or sitting alongside leadership in shaping how analytical work gets structured and prioritised - even informally.
Company:
Current is a consumer fintech banking platform transforming financial access for everyday Americans. Founded in 2015, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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