Data And Analytics Jobs
Data And Analytics jobs are open across finance, healthcare, retail, technology, and consulting, from entry-level analyst to director and principal, with specializations in business intelligence, data engineering, and machine learning. Find a role that fits below and apply directly.
Find Data And Analytics JobsLooking for remote work? View remote data and analytics jobs →Student or new grad? View data and analytics internships →Overview
Showing 4 of 1,174+ Data And Analytics jobs







Work You'll Do
As an Analytics and Insights Engineer III on the Cyber and Strategic Risk team, you will be responsible for:
You will support operational technology (OT) cybersecurity missions by developing and sustaining data products that improve cyber threat detection and response. This role focuses on OT cyber analytics, machine learning model development, and data engineering across on-premises and cloud-connected environments. You will serve as the project's primary data science resource and collaborate with delivery, security operations, cloud, and program stakeholders to advance analytic capabilities. The role is differentiated by its ownership of machine learning development and its contribution to OT cyber analytics innovation.
- Develop and sustain OT cyber data ontologies to support analytics, detection, and reporting use cases
- Build, train, test, and maintain machine learning models for OT cyber threat and attack detection
- Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
- Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
- Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud/data teams, and program management counterparts to implement scalable analytics solutions
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.
Qualifications
Required:
- Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Active Secret security clearance required
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
- 5+ years of experience with:
- Data Modeling
- JIRA
- Machine Learning
- Python
- SQL
Data And Analytics Jobs by Experience Level
Top Cities Hiring Data And Analyticss
Explore data and analytics openings in the cities hiring most right now.
See All 1,174+ Data And Analytics Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data And Analytics JobsData And Analytics Job Market
Who's Hiring
- JPMorganChase40

- CVS Health26

- Amazon Web Services23

- PNC Financial Services18

- Meta15

Top Industries Hiring
- Technology & Software59
- Banking & Financial Services23
- Consulting & Professional Services21
- Education19
- Retail15
What Employers Look For
The qualifications that appear most often in data and analytics jobs.
- Proficiency in SQL for querying and transforming relational data
- Experience with Python or R for data analysis and automation
- Hands-on work with BI tools such as Tableau, Power BI, or Looker
- Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Ability to communicate data findings clearly to non-technical stakeholders
Tips for Your Data And Analytics Job Search
Quantify impact on your resume
Hiring managers in data and analytics want numbers, not job duties. Replace phrases like 'built dashboards' with outcomes: how many stakeholders used the report, how much time it saved, or what decision it informed. Vague descriptions get screened out fast.
List your tools and stack clearly
Applicant tracking systems scan resumes for specific tool names like SQL, Python, Tableau, dbt, Snowflake, or Spark. Put your full technical stack in a dedicated skills section so it's visible to both the ATS and the hiring manager without burying it in bullet points.
Apply early to roles that fit
Migrate Mate lists data and analytics openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your application to the business domain
A data analyst role at a fintech company and one at a hospital system use very different data and measure very different outcomes. Mirror the industry's language in your resume and cover letter to show you understand the domain, not just the tooling.
Prepare a case-style technical interview
Many data and analytics roles include a live SQL or Python exercise plus a business case where you interpret ambiguous data and recommend an action. Practice writing clean, readable queries under time pressure and explaining your analytical reasoning out loud, not just arriving at the right answer.
Negotiate using role-level benchmarks
Before your offer conversation, research what the Bureau of Labor Statistics reports for your occupation and level, and check what comparable companies in the same industry are posting in their job descriptions. Come with a specific range tied to your scope and tools, not a gut number.
Data And Analytics Jobs: Frequently Asked Questions
Which companies are hiring the most data and analyticss?
The most active employers for data and analyticss right now are JPMorganChase, CVS Health, and Amazon Web Services, and the most openings are in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in industries with large transaction volumes, including finance, healthcare, and retail.
How many data and analytics jobs are remote?
About 64% of data and analytics openings are fully remote or hybrid as of August 2026, making it one of the more location-flexible fields in tech. Roles focused on analytics engineering, business intelligence development, and data science tend to have the highest remote availability, while positions requiring close collaboration with operations or clinical teams are more likely to be on-site.
How do you become a data and analytics?
Start by building foundational skills in SQL and either Python or R, then work through real datasets to practice cleaning, analyzing, and visualizing data. Completing a portfolio project that solves an actual business question is more useful than certifications alone. Target entry-level analyst or junior data roles, and use each job to expand your stack into tools like dbt, Airflow, or a cloud data warehouse.
How do you get hired in data and analytics with little experience?
Build a public portfolio on GitHub with two or three projects that use real or publicly available datasets and tell a clear analytical story. Apply for roles titled junior analyst, associate data analyst, or reporting analyst, which are explicitly designed for candidates without extensive experience. Emphasize your SQL skills and any coursework or self-directed work where you drew a business conclusion from data rather than just processed it.
What does the data and analytics interview process look like?
Most processes start with a recruiter screen, followed by a hiring manager conversation focused on your analytical background and how you've influenced decisions with data. A technical round typically involves a SQL or Python exercise and sometimes a take-home case study. Final rounds often include a stakeholder or cross-functional interview where you present your findings and defend your methodology to a non-technical audience.
Where can I find and apply to data and analytics jobs?
You can find and apply to data and analytics jobs on Migrate Mate, which lists current openings from across the United States. Search by role type, location, or experience level to find positions that match your background, then apply directly to each listing from the page.
See All 1,174+ Data And Analytics Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data And Analytics Jobs