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Remote Data Analyst Startup Jobs in Maryland (NOW HIRING)

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

The Manager Analyst, Catalog Data QA Reporting supports company catalog data analytics initiatives ... We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule.

Delivers standard system and data analysis and helps with tools and technology implementations for Payment Integrity- clinical editing. Facilitate and coordinate building, document, and review of ...

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0238506 Location: Edgewood,MD,US Share job via: Share Data Scientist ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Data Engineer

California, MD · Remote

$137K/yr

Discover hidden information using massive datasets and leveraging advanced data analytics and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

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Remote Data Analyst Startup information

What are the key skills and qualifications needed to thrive as a remote data analyst at a startup?

A Remote Data Analyst at a startup requires strong analytical skills, proficiency in statistics, and experience with data visualization, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Python or R, and platforms such as Tableau or Power BI, as well as experience with cloud-based collaboration tools, is typically expected. Outstanding communication, self-motivation, and adaptability are soft skills that help individuals excel in a fast-paced, remote startup environment. These abilities are vital for delivering actionable insights, collaborating effectively with distributed teams, and driving rapid, data-informed decisions.

How do remote data analysts at startups typically collaborate with cross-functional teams despite working remotely?

Remote Data Analysts at startups often work closely with product managers, engineers, and marketing teams through frequent virtual meetings and collaborative tools like Slack, Zoom, and shared dashboards. Effective communication is key, as analysts need to clearly present their findings and translate data insights into actionable recommendations for different teams. The fast-paced startup environment means priorities can shift quickly, so flexibility and proactive engagement are important for staying aligned with the company's goals.

What is a remote data analyst at a startup?

A Remote Data Analyst at a startup is a professional who collects, processes, and analyzes data to help the company make informed decisions, all while working from a remote location. Their work often involves creating reports, identifying trends, and providing actionable insights to support business growth and strategy. Since startups are fast-paced and dynamic, remote data analysts may also be expected to work with various teams, adapt to changing priorities, and use a wide range of analytical tools. Strong communication and self-motivation skills are essential for success in this role.
What are the most commonly searched types of Data Analyst Startup jobs in Maryland? The most popular types of Data Analyst Startup jobs in Maryland are:
What job categories do people searching Remote Data Analyst Startup jobs in Maryland look for? The top searched job categories for Remote Data Analyst Startup jobs in Maryland are:
What cities in Maryland are hiring for Remote Data Analyst Startup jobs? Cities in Maryland with the most Remote Data Analyst Startup job openings:

Data Scientist

Leidos

Bethesda, MD • On-site, Remote

Full-time

Re-posted 22 hours ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

77th of 488 rated business services


Job description

Leidos National Security Sector has a current opening for a TS/SCI cleared Data Scientist supporting our 10-year DOMEX Technology Platform (DTP) contract working alongside software/system engineers and research/data scientists with expertise in multi-modal information retrieval, UI development, computer vision, metrics, information science, artificial intelligence, and autonomous systems.

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics?

Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and many tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables

Fun stuff you will do:

  • Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Search and Discovery platform to find and organize results, disseminate findings via reports, and contribute to publications and presentations.
  • Work on research tasks to recommend optimal approaches to index and organize data for discovery. Create agents and tools as reusable elements in a broader agentic solution space.
  • Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.
  • Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team.
  • Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement

To be successful in this role you need the following (required):

  • B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses
  • 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master's
  • Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph
  • Proficiency in Python
  • Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift.
  • Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL)
  • Familiarity with Git along with its application to adherence with good practices in cooperative software development teams.
  • Experience working with a hybrid team of analysts, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
  • Track record of active learning and creative problem solving
  • Work with a team in co-development and cooperative research making best efforts to leverage and reuse team products.

You will wow us even more if you have some of these skills:

  • A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
  • Experience constructing and performing evaluations of analytics including test data construction, test execution and metrics.
  • Experience with an Agentic software solution (e.g. Agno, CrewAI, Pydantic AI, LangGraph).
  • Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

#NMECDTP-Leidos

#ASBA

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:July 22, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $69,550.00 - $125,725.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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