1

Senior Data Analyst Machine Learning Jobs (NOW HIRING)

Sr Data Analyst

Reston, VA · On-site

$89.50K - $112.90K/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 ...

Sr Data Analyst

Raleigh, NC · Hybrid

$89.99K - $143.09K/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 ...

Sr Data Analyst

Houston, TX · Hybrid

$89.99K - $143.09K/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 ...

Sr Data Analyst

Boston, MA · Hybrid

$89.99K - $143.09K/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 ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$89.99K - $143.09K/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 ...

Sr. Data Analyst Location: Houston, TX 77002 Contract Work /Schedule: 8am-5pm, Hybrid (3 days in ... Build machine learning models, predictive analytics solutions, NLP tools, and AI-powered ...

Company Description Sr. Data Analyst Location: Houston, TX 77002 Contract Work /Schedule: 8am-5pm ... Build machine learning models, predictive analytics solutions, NLP tools, and AI-powered ...

Sr. Data Analyst Location: Houston, TX 77002 Contract Work /Schedule: 8am-5pm, Hybrid (3 days in ... Build machine learning models, predictive analytics solutions, NLP tools, and AI-powered ...

Senior Data Analyst

Moorestown, NJ

$84.80K - $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 ...

New

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... Propose innovative solutions using data mining, statistical analysis, and machine learning. Support ...

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 ...

This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be ... Lead a team of data analysts * Work with our product managers and machine learning engineers during ...

Position Overview: The Senior Data Scientist is a highly skilled, experienced analytical ... analysis, machine learning, and hypothesis-driven research, to address complex business challenges.

Position Overview: The Senior Data Scientist is a highly skilled, experienced analytical ... analysis, machine learning, and hypothesis-driven research, to address complex business challenges.

next page

Showing results 1-20

Senior Data Analyst Machine Learning information

See salary details

$55K

$99.2K

$135.5K

How much do senior data analyst machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for senior data analyst machine learning in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst Machine Learning, and why are they important?

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.

How does a Senior Data Analyst specializing in 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 is a Senior Data Analyst in 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 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.

More about Senior Data Analyst Machine Learning jobs
What cities are hiring for Senior Data Analyst Machine Learning jobs? Cities with the most Senior Data Analyst Machine Learning job openings:
What are the most commonly searched types of Data Analyst Machine Learning jobs? The most popular types of Data Analyst Machine Learning jobs are:
What states have the most Senior Data Analyst Machine Learning jobs? States with the most job openings for Senior Data Analyst Machine Learning jobs include:
Infographic showing various Senior Data Analyst Machine Learning job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
Sr Data Analyst

Sr Data Analyst

DLA Piper

Reston, VA • On-site

$89.50K - $112.90K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


DLA Piper rating

9.0

Company rating: 9.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

4th of 17 rated law firms


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 financial analysis projects, identifying financial trends and operational performance drivers, 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 Senior Data Analyst uses tools such as Power BI to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This individual will lead large-scale analytical initiatives, mentor junior analysts, and collaborate with FP&A Revenue & Strategic Finance team to prioritize business needs and deliver actionable insights.
Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation and communications 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 the FP&A Revenue & Strategic Finance team and our practice groups 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, forecasting, developing and implementing data collection techniques to optimize statistical efficiency.
Location
This position can sit in any of our US office locations (Reston, Chicago, New York, and Short Hills are preferred 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 Revenue & Strategic Finance to identify practice group challenges and prioritize analysis and solutions.
  • Implement best practices and innovative solutions to enhance data integrity and data reporting accuracy, leveraging AI tools to enable data validation of financial reporting
  • 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.
  • Specifically support identification and tracking of revenue financial drivers and regularly present to internal partners and practice group leadership.
  • Support data quality and production for external survey submissions.
  • 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/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 as a Data Analyst or similar role including experience with data modeling, statistical analysis and processes.

Essential Job Expectations
While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:
  • Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties.
  • Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner.
  • Provide timely, accurate, and quality work product.
  • Successfully meet deadlines, expectations, and perform work duties as required.
  • Foster positive work relationships.
  • Comply with all firm policies and practices.
  • Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed.
  • Ability to work under pressure and manage competing demands in a fast-paced environment.
  • Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.
Physical Demands
Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
Work Environment
The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.
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
Applicants must apply directly online instead of sending application materials via email.
Accommodation
Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.
Agency applications will not be considered.
No immigration sponsorship is available for this position.
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).
#LI-MK1
#LI-Hybrid
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.