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Data Analysis Jobs

898 jobs found

2mo ago

Senior Data Scientist (TS/SCI cleared)

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

2mo ago Closed

$105k - $290k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

This Senior Data Scientist role at Johns Hopkins Applied Physics Laboratory (APL) sits within the Threat Analytic Systems group. The position centers on applying AI and machine learning, statistical analysis, and software development to tackle data analysis challenges, building prototype software to collect and interpret intelligence data, and communicating findings to technical staff, management, and government decision makers.

Location

Laurel, MD (onsite)

Salary

USD 105,000 - 290,000 per year

Education

Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or a related engineering field

Responsibilities

Apply expertise in artificial intelligence, machine learning, statistical analysis, and software development to address complex data analysis problems for sponsors
Research, develop, evaluate, and deploy innovative data science and AI techniques and technologies
Develop prototype software to gather, process, and analyze intelligence data from diverse sources
Convey ideas and results through papers and presentations to technical staff, management, and government decision makers

Requirements

Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or a related engineering field
Experience with artificial intelligence, machine learning, and statistical analysis
Proven track record designing and developing algorithms and implementing systems for interdisciplinary problem solving
Hands-on experience with Python
Ability to work with loosely defined or high-level requirements
Capacity to set priorities and manage multiple dynamic projects, independently or as part of a team, to support evolving national security needs
Strong problem-solving, analytical, and organizational skills, with demonstrated initiative and excellent written and verbal communication
Active TS/SCI security clearance with eligibility for access to classified information; U.S. citizenship is required

Technologies

Python

Benefits

Generous education assistance program
Unparalleled retirement contributions
Healthy work-life balance
Retirement plans
Paid time off
Medical, dental, and vision insurance
Life insurance
Short-term disability
Long-term disability
Flexible spending accounts
Training and development

Nice to have

Experience with project management and/or leading technical teams

About Us

The Johns Hopkins University Applied Physics Laboratory (APL) delivers world-class expertise to address defense, security, space, and science challenges. APL fosters a culture that values diverse perspectives, creativity, and bold ideas, with a welcoming environment that supports growth and collaboration. Located in the Baltimore-Washington metro area, APL offers generous benefits, including education assistance, retirement contributions, and a healthy work-life balance. Applications are accepted on a rolling basis. APL is an equal opportunity employer; accommodations are available for applicants with disabilities. For accessibility needs, please contact Accessibility@jhuapl.edu.

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2mo ago

Supply Chain Data Analyst (Food Manufacturing)

ilocatum Chicago, IL 🇺🇸 Remote

Chicago, IL

2mo ago Closed

$70k - $90k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Remote-friendly, full-time direct-hire role in Chicago, IL, with onsite training in Gridley, IL, offering USD 70,000 - 90,000 per year.

Responsibilities

Design, maintain, and enhance dashboards, reports, and analytics for the supply chain.
Produce recurring reports for leadership, operations, procurement, finance, and executive reviews.
Detect data gaps, process inconsistencies, and reporting limitations that hinder visibility or decision quality.
Integrate data from procurement, production, inventory, warehousing, logistics, quality, sales, and finance to reveal efficiency opportunities.
Create tools that provide departments with a single, trusted data source.
Identify bottlenecks, process delays, inventory imbalances, and drivers of cost.
Assess inventory metrics such as on-hand quantities, days of supply, safety stock, reorder points, usage trends, and material availability.
Develop dashboards that highlight understocked, overstocked, or demand-misaligned materials.
Deliver data-driven purchasing recommendations to planning and procurement teams.
Monitor supplier performance including on-time delivery, adherence to lead times, price accuracy, and quality documentation.
Aid in the development and maintenance of supplier scorecards.
Analyze purchase price variance, cost trends, and sourcing opportunities.
Use data to identify inefficient workflows, manual processes, and recurring operational issues.
Contribute to standardizing metrics, definitions, data sources, and reporting cadence.
Collaborate on cross-functional projects focused on cost control, inventory improvement, and system reliability.

Requirements

3 to 5 years of experience in supply chain analytics or related data analytics domains such as operations, procurement, inventory, BI, or data analysis.
Proficiency with Power BI, Tableau, SQL, Power Query, or equivalent reporting and visualization tools.
Experience working with ERP systems or large-scale operational data sets.
Background in food manufacturing, CPG, ingredients, packaging, warehousing, logistics, or multi-site manufacturing.

Technologies

Power BI
Tableau
SQL
Power Query
Microsoft Dynamics
Aptean F&B
Catalyst
SAP
NetSuite
Oracle

Benefits

Medical options including PPO or HSA with employer contributions
Dental, vision, life, AD&D, and disability insurance
401(k) with competitive company match
Holidays, vacation accrual, PTO, and parental leave
Tuition reimbursement
Uniforms and boots provided
Employee assistance program, paid volunteer days, and referral bonuses

Nice to Have

Experience with ERP systems such as Microsoft Dynamics, Aptean F&B, Catalyst, SAP, NetSuite, Oracle, or similar
Experience supporting ERP migrations, system conversions, data cleanup, or master data improvement projects
Familiarity with item master data, BOMs, purchase orders, inventory transactions, and production reporting
Bachelor's degree in supply chain, business, economics, operations management, finance, or related field

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2mo ago

Senior Data Analyst

Brooksource Chicago, IL

Chicago, IL

2mo ago Closed

$50 - $53/hr Contract Senior Analyst Analytical Skills

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Senior Data Analyst at Brooksource in Chicago, hybrid work arrangement, with a USD 50-53 per hour rate on a 6-month contract-to-hire engagement focused on Customer Insights and Banking Analytics.

Responsibilities

Develop and execute advanced SQL to extract, analyze, and validate data from multiple enterprise sources.
Examine customer acquisition, retention, engagement, and growth across banking portfolios.
Create dashboards and reports using Power BI and other visualization tools.
Collaborate with business stakeholders to define analytical needs and objectives.
Translate business questions into meaningful data driven insights.
Present conclusions and recommendations to senior managers and directors.
Support executive reporting and ad hoc analytical requests.
Validate data quality and perform QA to ensure accuracy and consistency.
Identify trends, opportunities, and risks within large and complex datasets.

Requirements

4+ years in Data Analytics, Business Analytics, Customer Analytics, or related field.
Banking or Financial Services experience.
Advanced SQL skills, including complex joins and subqueries.
Experience with data validation and QA.
Experience working with large datasets and many-to-many relationships.
Experience building dashboards and visualizations using Power BI, Tableau, or similar tools.
Strong Microsoft Excel skills including Pivot Tables, VLOOKUP, and other data analysis functions.
Experience presenting analytical findings to business stakeholders.
Strong analytical thinking and problem-solving abilities.
Ability to work independently and manage competing priorities.

Technologies

Power BI
Tableau
DAX
SQL
Python
Microsoft Excel

Benefits

401(k) Matching Plan
Medical, Dental, & Vision Plans
6 Paid Holidays
Regular Meetings to Ensure Quality in Your Engagement
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Preferred Qualifications

Commercial Banking, Wealth Management, Consumer Banking, or Customer Analytics experience
Experience analyzing customer growth, acquisition, engagement, retention, or attrition
Familiarity with Power BI data modeling and DAX
Exposure to Python for analytics or automation
Experience working with datasets containing millions of records

What makes someone successful

Understands the business context behind the data
Can translate vague business requests into clear analyses
Communicates effectively with technical and non-technical audiences
Avoids analysis paralysis and delivers actionable insights
Thinks critically and makes recommendations, not just reports findings
Operates with limited direction and takes ownership of deliverables

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2mo ago

Authorization and Claims Analytics Data Analyst III

L.A. Care Health Plan Los Angeles, CA

Los Angeles, CA

2mo ago Closed

$89k - $142k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

At L.A. Care Health Plan, the Authorization and Claims Analytics Data Analyst III plays a pivotal role in steering data-driven initiatives that align with enterprise goals in the Los Angeles area. This senior position acts as a subject matter expert, guiding complex analytics from the initial business case through deployment and post-implementation evaluation, while mentoring fellow staff along the way.

Location: Los Angeles, CA (onsite) • Salary: USD 88,854 - 142,166 per year • Experience: 4+ years • Education: Bachelor's Degree

Responsibilities

Leads end-to-end analytics projects, starting with a clearly defined business case and requirements, delivering validated, actionable insights.
Performs advanced analyses to uncover drivers of quality, efficiency, and financial performance.
Collaborates with IT and product owners to embed analytics into enterprise systems and standard workflows.
Builds, refines, and automates analytic assets such as data models, dashboards, and reports in line with enterprise design and refresh standards.
Implements version control, peer review processes, and continuous integration for analytic codebases.
Keeps data lineage and governance compliance at the forefront across analytics work.
Oversees project planning, progress tracking, and post-implementation evaluations for assigned deliverables.
Mentors others and demonstrates adherence to analytic development best practices.
Leverages subject matter expertise to assess business operations and processes.
Identifies opportunities where technical solutions could boost business performance.
Provides cross-functional consultation, mentoring, and specialized knowledge across business operations.
Ensures accuracy of deliverables to meet departmental, organizational, policy, standards, and regulatory requirements.
Delivers training, suggests process enhancements, and mentors junior staff and interns as needed.
Performs additional duties as assigned.

Requirements

Expert in SQL for complex exploratory analysis, data modeling, and ETL supporting enterprise dashboards, reports, and analytics.
Advanced skill with Tableau or equivalent BI tools to design, optimize, and automate dashboards and visuals for enterprise insights.
Strong statistical acumen including multivariate analyses, regression, and control charts to identify drivers across operational, clinical, and financial performance.
Familiarity with version control (Git, GitHub) and collaborative workflows, including peer review, CI, and reproducible analytics.
Ability to create and maintain reusable analytic frameworks, templates, and processes for recurring reporting and performance monitoring.
Proficiency in data validation, reconciliation, and governance, including data lineage tracking and quality control.
Ability to translate complex business problems into analytic requirements and actionable insights.
Ability to interpret results in the context of organization-wide performance and priorities.
Apply critical thinking to spot patterns, opportunities, and risks across multiple data domains.
Collaborate effectively with IT, operations, and business partners to operationalize analytics outputs.
Solid understanding of healthcare concepts including quality measures, utilization patterns, and key operational drivers in a managed care setting.
Capable of leading analytics projects end-to-end from business case through post-implementation assessment.
Mentor junior analysts and promote best-practice adherence.
Manage multiple projects concurrently, prioritize tasks, and escalate issues as needed.
Communicate findings clearly to technical and non-technical stakeholders.
Knowledge of claims operations, including intake, adjudication, and provider dispute resolution.
Knowledge of clinical and financial aspects of utilization management and claims, collaborating with operations or provider teams.
Ability to analyze operational KPIs such as turnaround times, denial rates, and appeals outcomes to derive actionable insights.

Technologies

SQL
Tableau
Git
GitHub

Benefits

Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

Physical Requirements

Light

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2mo ago

Data Scientist

Booz Allen Hamilton Washington, DC

Washington, DC

2mo ago Closed

$99k - $225k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

This onsite Data Scientist role in Washington, DC offers a comprehensive benefits package and the opportunity to lead algorithm development and advise clients across sectors using data science, NLP, and ML.

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Location: Washington, DC onsite. Compensation: USD 99,000 - 225,000 per year. Education: Bachelor's degree.

Responsibilities

Work closely with clients to understand their questions and needs, then explore data-rich environments to identify relevant information pieces
Guide teammates and lead the development of algorithms and systems
Use an appropriate mix of tools and frameworks to convert disparate data points into objective answers that inform client decisions
Provide a deep understanding of the data, its meaning, and how it can be used

Requirements

5+ years of experience in data science or analytics
1+ years of experience with natural language processing or text mining
Experience with Excel spreadsheets to include formulas and data structures for data analysis and reporting
Experience in Python programming to support data extraction, data cleaning, data mining, data transformations, and data analysis
Experience analyzing structured and unstructured data sources and with query languages like SQL variants to efficiently query and manage large datasets
Experience with Document Store Databases such as Elasticsearch and ArangoDB and Graph Databases concepts of nodes and edges
Experience with data visualization using Kibana, Tableau, or Power Bi to present data insights clearly through dashboards, charts, and graphs
Experience in producing detailed written intelligence reports and assessments
TS/SCI clearance
Bachelor’s degree

Technologies

Excel
Python
SQL
Elasticsearch
ArangoDB
Kibana
Tableau
Power Bi
R
Docker
Kubernetes

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2mo ago

Data Scientist, Senior

Booz Allen Hamilton Lexington Park, MD

Lexington Park, MD

2mo ago Closed

$99k - $225k/yr Full time Senior Analytics Data

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

This senior data scientist role focuses on developing algorithms, predictive analytics, and ML solutions to support Navy mission solutions by turning data into actionable insights for military decision-makers.

Location

Lexington Park, MD (onsite)

Salary

USD 99,000 - 225,000 per yearly

Responsibilities

Collaborate with the customer to understand questions and needs, then explore the data-rich environment to identify the pieces of their information puzzle.
Develop algorithms, write scripts, build predictive analytics, apply machine learning, and select the right combination of tools and frameworks to convert disparate data points into objective answers that help military leaders make informed decisions.
Provide the customer with a deep understanding of their data, its meaning, and how they can use it.

Requirements

8+ years of experience with analyzing data
8+ years of experience with using statistical software applications, including SAS or R
5+ years of experience developing data science solutions in a scripting or programming language, including Python, R, C, or Java
Knowledge of data engineering practices, including ETL or ELT
Secret clearance
Bachelor's degree

Technologies

SAS
R
Python
Java
C

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Identity Verification

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Onsite: work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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2mo ago

Data Scientist

Booz Allen Hamilton Chantilly, VA

Chantilly, VA

2mo ago Closed

$62k - $141k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

Data Scientist role at Booz Allen Hamilton in Chantilly, VA, focused on translating complex data into actionable insights using data science, ML/AI, and NLP across private and public sectors, collaborating with clients to identify questions and build algorithms and systems.

Responsibilities

Apply analytical skills to generate real world impact.
Collaborate closely with clients to understand their questions and needs.
Investigate clients' data-rich environments to uncover key information.
Co-develop algorithms and systems with teammates.
Choose the right mix of tools and frameworks to convert disparate data points into objective answers for informed decisions.
Provide a deep understanding of the data, its meaning, and its potential uses.

Requirements

Proficiency with Python or R
Experience with object-oriented programming
Knowledge of data processing frameworks such as Pandas, Polars, or Spark
Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R
Familiarity with structured and unstructured data sources
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
Ability to develop predictive data models, quantitative analyses, and visualization of targeted data sources
Ability to deploy natural language processing, text mining, or machine learning techniques
TS/SCI clearance with a polygraph
Bachelor's degree in a STEM field

Technologies

Python
R
Pandas
Polars
Spark
scikit-learn
pytorch
tensorflow
MapReduce
Hadoop
Hive
EMR
Kafka
Gurobi
MySQL
LLMs
generative AI systems
agentic frameworks

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

The projected compensation range for this position is $62,000 to $141,000 USD annually, with actual pay determined by factors including location, education, experience, skills, competencies, and contract-specific considerations. This range represents typical compensation components and Booz Allen's total compensation package.

Identity Verification

As part of the hiring process, you may be required to complete an identity verification process that uses biometrics and AI to ensure authenticity and prevent fraud. Interviews and assessments may require you to be on camera, and Booz Allen may reserve the right to capture your image for identity verification.

Candidate AI Usage Policy

AI is used across Booz Allen operations, but the use of AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.

Work Model

Remote: if listed as remote, there may be occasions requiring in-person work at Booz Allen or a customer facility.
Hybrid: frequent work from a Booz Allen facility; may be required to work from or visit customer facilities.
Onsite: primarily work at a Booz Allen office or a customer facility.

Arlington, VA

2mo ago Closed

$78k - $176k/yr Full time Analytics Data Data Analysis

2mo ago

Senior Data Scientist

Full time Senior Analytics Artificial Intelligence

2mo ago

Data Engineer

Booz Allen Hamilton Wharton, NJ

Wharton, NJ

2mo ago Closed

$78k - $176k/yr Full time Analytics Big Data Bigdata

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