Data Analytics Engineer Jobs in New Jersey
Data Analytics Engineer jobs in New Jersey represent one of the most active markets in the Northeast, with steady demand from financial services, life sciences, and telecommunications sectors at every level from entry-level analyst to senior engineer. Most openings concentrate in Newark, Jersey City, and the Princeton corridor, where established employers like Johnson & Johnson, Cognizant, and Prudential Financial maintain large technology and data operations. The most in-demand specialties include cloud data pipeline development, SQL and Python-based analytics platforms, and business intelligence tooling. Find a role that fits below and apply directly.
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The Specialist, Digital Process & Data Analysis (DPDA) (P-track) serves as a bridge between digital capabilities and end users, helping teams successfully adopt and maximize the value of data, analytics, and technology solutions. Through user support, training, communications, and data literacy initiatives, this role enables stakeholders to effectively utilize purpose-built applications, user-generated analytics, conversational bots, and operational reporting tools. The Specialist also supports solution testing, implementation, and ad hoc data requests to enhance user experience and business impact.
Responsibilities:
Solution delivery and product / data support:
- Support the delivery of high-value technical solutions that meet business needs and achieve broad organizational adoption.
- Support scoping, requirements/user stories, User Acceptance Testing (UAT), and change management with product/engineering partners.
- Assist with data preparation and basic quality checks to maintain integrity.
- Manage sharing, workspace organization, and permissions for own area in partnership with platform owners.
- Engage with business stakeholders to understand and document their needs and help translate them into clear requirements and technical deliverables.
- Engage in learning new technologies and reporting methods.
- Business intelligence (BI) reporting and visualization: Proficient in at least one business intelligence platform (e.g., Qlik Sense, Power BI, ThoughtSpot, or Tableau), with ability to build / wireframe clear, audience-appropriate dashboards.
- Data literacy and storytelling: ability to interpret trends and outliers and communicate key takeaways and limitations.
- Data preparation and quality: ability to perform light wrangling and data cleanup in BI tools or spreadsheets.
- Spreadsheet and tabular proficiency to reconcile and analyze data end-to-end (e.g., through use of pivot tables, lookups, text-to-columns, conditional formatting, and data validation).
- Documentation and metadata management: Proficient in versioning, naming, and access-control standards.
- Solid understanding of data connections and refresh schedules.
- Working knowledge of the Software Development Lifecycle (SDLC).
- Solid knowledge of Good Clinical Practice (GCP) and strong learning agility for adjacent clinical domains.
- Working knowledge of database concepts, data quality, and governance; collaborate with data/tech teams to improve data integrity and usability.
- Awareness of analytics/programming concepts and effective collaboration with technical partners; hands-on coding not expected.
- Ability to connect business outcomes to technical deliverables.
- Ability to communicate effectively with both technical and business stakeholders, with an ability to tell clear, compelling, data-driven stories and translate technical concepts into plain language.
- Ability to elicit and document business needs and translate them into requirements, user stories, or solution concepts.
- Ability to work independently with minimal guidance, identify risks, propose options, and escalate appropriately with guidance.
- Solid teaming skills with ability to collaborate smoothly across functions and drive action items to closure.
- Strong project and time management skills, with ability to manage tasks, prioritize workload with guidance based on urgency, impact, and critical path dependencies, and deliver on time.
- Ability to build trust through reliability, transparency, and concise updates.
- Execution Excellence | Focus on self-development, openness to feedback, and quickly building skills; embrace continuous learning and actively identify new areas for growth.
- Decision Making | Identify and analyze problems by interpreting qualitative and quantitative information, select best course of action, and make timely decisions while considering tradeoffs; optimize probable consequences.
- Networking & Partnerships | Build knowledge of the company, processes, clients, and customers; work across functions and collaborate effectively; leverage relationships within and across work groups to achieve results.
- Non-Degree with 4+ years of experience working in relevant field for associated job description (see below) -OR-
- Associate's Degree in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or a health care–related discipline AND 3+ years of experience working in relevant field for associated job description (see below) -OR-
- Bachelor's Degree in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or a health care–related discipline AND 2+ years of experience working in relevant field for associated job description (see below) -OR-
- Advanced Degree (Masters or Doctorate) in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or a health care–related discipline
- Healthcare, life sciences, analytics, operations, or training/enablement; substantial, hands-on experience in one or more clinical operations domains (e.g., study start-up, site management, monitoring, data management, quality/compliance) preferred.
- Experience designing and delivering training, enablement materials, or workshops; able to upskill stakeholders on processes, tools, and data use.
- Demonstrated cross-functional collaboration and stakeholder management; facilitates small working sessions and drives follow-through.
- Experience in applying clinical operations knowledge and/or technical analytics expertise to identify business needs and support the delivery of data, reporting, or digital solutions.
Required Skills:
Accountability, Business Insights, Clinical Research, Database Concepts, Data Integrity, Microsoft Excel, New Technology Integration, Software Development Life Cycle (SDLC), Time Management, Training and Development
Preferred Skills:
Data Management, Good Clinical Practice (GCP)
Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement​
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
The primary location for this posting is:
USA - New Jersey - Rahway
Where required by law, the compensation range for this role is provided below.
The salary range for the primary location of this role is:
$87,300.00 - $137,400.00
This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
Additional location(s): Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.
Additional location(s) Compensation Information:
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
No relocation
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Not Applicable
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
N/A
Job Posting End Date:
11/5/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID: R424700
See All 42 Data Analytics Engineer Jobs in New Jersey
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Data Analytics Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Accounting & Auditing
- Investment & Asset Management
- Consulting & Professional Services
- Transportation & Logistics
What New Jersey Employers Look For
The qualifications that appear most often in data analytics engineer jobs across New Jersey.
- Bachelor's degree in computer science, statistics, data science, or a related technical field
- Proficiency in SQL and at least one scripting language such as Python or R
- Experience building and maintaining ETL or ELT data pipelines in cloud environments
- Hands-on work with data warehousing platforms such as Snowflake, Redshift, or BigQuery
- Familiarity with business intelligence tools including Tableau, Power BI, or Looker
- Strong communication skills to translate data findings for non-technical New Jersey stakeholders
Data Analytics Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a data analytics engineer in New Jersey?
Data analytics engineering in New Jersey has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skills. Most roles expect a bachelor's degree in computer science, data science, statistics, or engineering. New Jersey's dense concentration of financial services and life sciences employers means candidates who build hands-on experience with cloud data platforms and earn credentials like the AWS Certified Data Engineer or Google Professional Data Engineer certification stand out in the local hiring market.
How much do data analytics engineers make in New Jersey?
Data analytics engineers in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in New Jersey?
Employers hiring data analytics engineers in New Jersey right now include JPMorganChase, Merck, and Deloitte, based on current listings on Migrate Mate as of November 2026. New Jersey's mix of large pharmaceutical headquarters, financial services firms, and technology consulting companies means openings appear consistently across multiple industries rather than clustering in a single sector.
Which New Jersey cities have the most data analytics engineer jobs?
Jersey City, Newark, and Warren have the most data analytics engineer openings in New Jersey. Newark and Jersey City draw volume from financial services and technology firms with Manhattan-adjacent operations, while the Princeton and Parsippany corridors attract demand from pharmaceutical and insurance companies that have long maintained headquarters and major data teams there.
Are there remote data analytics engineer jobs in New Jersey?
Yes, and more than most fields. About 67% of data analytics engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how naturally this work fits distributed teams. The pipeline development, modeling, and BI reporting parts of the role are most commonly offered remotely, while roles involving close coordination with embedded business units tend to require at least a few days on-site.
How can I get hired as a data analytics engineer in New Jersey with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence analyst role, which many New Jersey financial services and life sciences employers use as a direct feeder. Companies like Cognizant and Conduent hire associate-level data professionals and move them into engineering tracks internally. Building a public portfolio of pipeline and transformation projects, earning an entry-level cloud data certification, and targeting rotational technology programs at New Jersey-based insurance or pharmaceutical firms gives early-career candidates a concrete edge.
Where can I find and apply to data analytics engineer jobs in New Jersey?
You can find and apply to data analytics engineer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings. Search the roles available, find the ones that fit your experience and location, and apply directly to the employers posting them.
See All 42 Data Analytics Engineer Jobs in New Jersey
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