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Senior Data Analyst Machine Learning Jobs in New Jersey

Sr Data Analyst

Short Hills, NJ · Hybrid

$93K - $118K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills ...

Senior Data Analyst

Cranbury, NJ · On-site

$100K - $120K/yr

The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ... Familiarity with machine learning or predictive modeling techniques. * Background in healthcare or ...

Senior Data Analyst

Moorestown, NJ

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or ...

Senior Data Analyst

Moorestown, NJ

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or ...

The Senior Data Scientist will build machine learning-based tools and processes within the company ... Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads.

The Senior Data Scientist will build machine learning-based tools and processes within the company ... Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads.

The Senior Data Scientist will build machine learning-based tools and processes within the company ... Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads.

$29.90/hr

... Sr. Data Analyst and our IT Project Manager to gain hands-on experience in data analytics, machine learning, and technology integration. * Utilize advanced analytics to extract valuable insights from ...

Senior Data Analyst

Moorestown, NJ · On-site

$96K - $164K/yr

We are currently seeking a Senior Data Analyst to join our teamin Moorestown, NJ. Responsibilities ... Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or ...

Senior Data Analyst

Berkeley Heights, NJ · On-site

$89K - $113K/yr

Role: Senior Data Analyst Location : Berkeley Heights, NJ (5days onsite) Contract/Full-Time We need a strong candidate with the following skills: * Senior Data Analyst: 10+ years of experience

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Senior Data Analyst Location: Piscataway, NJ (Hybrid/Onsite) Experience: 10-12+ Years Mandatory: Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL ...

Senior Data Analyst

New Brunswick, NJ · Remote

$88K - $112K/yr

Kelly Services is currently seeking a Senior Data Analyst position for one of our top clients ... Kelly Learning Center offers free courses and trainings * Weekly pay About Kelly Services ® As a ...

OrganOx is a pioneer in normothermic machine perfusion (NMP). It's flagship platform, the metra ® ... Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and ...

OrganOx is a pioneer in normothermic machine perfusion (NMP).  It's flagship platform, the ... The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as ...

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Showing results 1-20

Senior Data Analyst Machine Learning information

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.
What are the most commonly searched types of Data Analyst Machine Learning jobs in New Jersey? The most popular types of Data Analyst Machine Learning jobs in New Jersey are:
What job categories do people searching Senior Data Analyst Machine Learning jobs in New Jersey look for? The top searched job categories for Senior Data Analyst Machine Learning jobs in New Jersey are:
What cities in New Jersey are hiring for Senior Data Analyst Machine Learning jobs? Cities in New Jersey with the most Senior Data Analyst Machine Learning job openings:
Infographic showing various Senior Data Analyst Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Sr Data Analyst

Dlapiper

Short Hills, NJ • Hybrid

$93K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading analytics projects, advancing the firm's data innovation efforts, and applying advanced analytical techniques to support strategic decision-making. This role requires strong analytical and technical skills, financial acumen, and a passion for leveraging data to drive business outcomes.

The Sr Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This individual leads large-scale analytical initiatives, mentors' junior analysts, and collaborates with stakeholders to prioritize business needs and deliver actionable insights.

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement, contributing to the firm's data strategy, and ensuring timely, accurate deliverables. Working closely with functional leads across the firm, this position conducts research, analyzes and presents data to identify trends, forecast outcomes, and support informed decision-making related to financial performance. Duties will include financial performance data analysis and presentation, interpreting data from analysis using statistical techniques, reporting, forecasting, developing and implementing data collection techniques to optimize statistical efficiency.


Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.
Responsibilities

  • Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact analytics, forecasting, reporting and insight-driven solutions.

  • Collaborate with FP&A, Service Delivery, Senior Finance leadership and other key stakeholders to identify and prioritize complex business problems.

  • Implement best practices and innovative solutions to enhance data integrity.

  • Drive and manage large-scale analytical projects that span multiple teams and functions.

  • Coordinate cross-functional efforts to ensure project alignment with business objectives and successful execution.

  • Analyze trends and derive actionable insights to address complex business challenges.

  • Design and develop advanced solutions to streamline processes, improve data quality, and drive intelligent automation.

  • Champion continuous improvement initiatives to enhance operational efficiency and effectiveness.

  • Engage with stakeholders at all levels to understand their needs and provide tailored data solutions.

  • Strong communication and financial storytelling skills with both technical and non-technical stakeholders.

Desired Skills

Strong analytical and problem-solving skills, with the ability to interpret large complex datasets, identify trends and provide actionable data-driven insights. Highly proficient in data visualization tools (PowerBI Report Builder/SSRS or Tableau). Experience in management reporting, report creation process and dashboard design. Highly proficient in Microsoft office, with advanced skills in Excel, including complex formulas, pivots tables, data analysis, VBA, and data visualization techniques. Experience with advanced statistical methods and data modeling techniques. Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming languages.

Demonstrated experience in creation of complex queries, data manipulation, and automation of data processes. Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills and the ability to adapt to changing business needs. Ability to work independently and as part of a team. Attention to detail and high level of accuracy in work.
Minimum Education

  • Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field.

Minimum Years of Experience

  • 4 years' experience in a experience as a Data Analyst or similar role including experience with data modeling, statistical analysis and processes.


Essential Job Expectations

All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

  • Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.

  • Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.

  • Meet deadlines, manage competing priorities, and commit to meeting high standards.

  • Comply with firm policies and procedures.

  • Maintain confidences as required in a law firm environment.

Physical Demands

Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.

Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Interested candidates must apply directly online. Application materials sent via email will not be accepted.

Accommodation

Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.

This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.

We are committed to excellence in how we serve our clients and develop our people.
The firm's expected hiring range for this position is $89,991 - $143,088 per year depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits, including medical/dental/vision insurance, and 401(k).
Applicants who are not based in thejurisdictionin which this position is posted and who apply for this role are doing so voluntarily and are not eligible for relocationassistance. Anyrelocationbenefits, if any, are provided only where a relocation isrequiredat the firm's direction andin accordance withapplicable policy and law.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.