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Senior Data Analyst Machine Learning Jobs (NOW HIRING)

TD SYNNEX

Sr. Data Analyst

Clearwater, FL · On-site

$79K - $100K/yr

About the Role We're looking for a Senior Data Analyst to help turn complex cloud, financial, and ... Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.

Synnex

Sr. Data Analyst

Herndon, VA · On-site

$88K - $111K/yr

About the Role We're looking for a Senior Data Analyst to help turn complex cloud, financial, and ... Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

  • Medical

  • Dental

  • Vision

  • PTO

PEMCCO is seeking a Senior Data Scientist to lead data-driven initiatives that support critical ... Knowledge of machine learning concepts and analytical methodologies * Understanding of data ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Senior Data Science & Machine Learning Engineer Location: Remote, USA (Client Location ZIP: 01730 ... Strong analytical, problem-solving, and communication skills. Interested candidates, please share ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ...

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Senior Data Scientist Experience: 6-10 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... The ideal candidate will leverage advanced statistical analysis, machine learning, and data ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... machine learning codebases. Desired Characteristics: * Experience in pricing and/or marketing ...

Versant Limited

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... machine learning codebases. Desired Characteristics: * Experience in pricing and/or marketing ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... Exposure to predictive analytics, AI, or machine learning concepts. Human Relations Skills: Ability ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL

$110K - $130K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

World's Finest Chocolate is seeking a highly skilled and motivated Senior Data Analyst to join our ... Explore AI and machine learning opportunities for sales prospecting, lead scoring, and forecasting

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Senior Data Analyst Machine Learning information

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$55K

$99.2K

$135.5K

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

As of Aug 19, 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 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 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.

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 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.

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Senior Data Analyst Machine Learning jobs near you
Infographic showing various Senior Data Analyst Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Sr. Data Analyst

TD SYNNEX

Clearwater, FL • On-site

$79K - $100K/yr

Full-time

Posted 6 days ago

TD SYNNEX rating

7.2

Company rating: 7.2 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

136th of 224 rated it services

Job description

About the Role
We're looking for a Senior Data Analyst to help turn complex cloud, financial, and operational data into clear, actionable insights that improve business performance. In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering, Cloud Accounting, and Cloud Sales Leadership, helping teams make smarter decisions across multi-cloud environments.
This is a great opportunity for someone who enjoys moving beyond standard reporting to uncover meaningful trends, identify risks, and deliver recommendations that influence both strategy and execution. You'll work with data from AWS, Azure, and Google Cloud Platform (GCP), as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and decision-making.
If you're energized by solving business problems with data, building scalable analytics solutions, and helping leaders understand what matters most, this role offers strong visibility and the chance to make measurable impact.
What You'll Do
  • Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities.
  • Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance.
  • Partner with business and technical stakeholders to define KPIs, scorecards, and success metrics aligned to organizational goals.
  • Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness.
  • Evaluate reservation strategies, savings plans, licensing impacts, and commitment-based discounts across cloud platforms.
  • Support budgeting, chargeback, showback, and cost allocation initiatives with advanced analytical modeling.
  • Develop dashboards, reporting models, and self-service analytics tools that help teams make faster, better-informed decisions.
  • Investigate recurring operational issues and recommend opportunities for automation, remediation, and process improvement.
  • Measure the impact of FinOps and optimization initiatives to quantify business value.
  • Communicate findings clearly to both technical and non-technical audiences, including senior leadership.

What You Bring
  • 3-5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field.
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, Economics, Mathematics, or a related discipline.
  • Experience working with large, complex datasets and translating analysis into practical business recommendations.
  • Knowledge of AWS, Azure, and GCP cloud services, billing structures, and consumption models.
  • Experience creating dashboards, KPIs, scorecards, forecasts, and predictive models for operational and executive stakeholders.
  • Proficiency in Python, R, or other analytical programming languages.
  • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools.
  • Understanding of data modeling, governance, data quality, and business performance metrics.
  • Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.

Preferred Certifications
Candidates with certifications in the following areas will be especially attractive:
  • FinOps
  • Cloud Platform Certification (AWS, Azure, or GCP)
  • Data Analytics / Business Intelligence
  • AI or Machine Learning

Why This Role Stands Out
This role offers the opportunity to shape how cloud and financial data are used to drive better decisions across the business. You'll help leaders understand where to invest, where to optimize, and how to improve outcomes across a growing multi-cloud environment. It's an ideal next step for someone who wants to deepen their expertise in cloud analytics, FinOps, predictive modeling, and strategic decision support.
At TD SYNNEX, our values emphasize being bold, taking ownership, growing through continuous learning, and doing the right thing with integrity and respect. We welcome candidates with diverse backgrounds and experiences who are excited to bring curiosity, collaboration, and thoughtful problem-solving to the role.
Work Environment
  • Professional office environment
  • Occasional non-standard work hours based on business needs

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.
What's In It For You?
  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don't meet every single requirement? Apply anyway.
At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!
We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.
TD SYNNEX is an E-Verify company

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