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Senior Data Analyst Developer Jobs in Frederick, MD

Inventwood

R & D Data Analyst

Frederick, MD · On-site

It's an analytical role embedded in the R&D team at an ARPA-E-backed climate-materials company: you ... A BS in a quantitative or scientific field -- statistics, data science, engineering, physics ...

Commence

Sr Health Interoperability Engineer

Leesburg, VA · On-site

$13K - $155K/yr

Collaborate with the analytics and data science team to ensure OMOP-structured data is properly ... Partner with the Sr. Data Engineer and Sr. Solutions Architect to embed interoperability and data ...

Jobsbridge

Senior Big Data Architect

Rockville, MD

$68.50 - $91.75/hr

Skill Hadoop Big Data Engineer Senior Director Manager Location Rockville, MD Total Experience 8 ... Deep understanding of database and analytical technologies in the industry including MPP databases ...

Deegit Inc

Data Architect / Data Analyst

Derwood, MD · On-site

... including analytic functions. • Solid foundation knowledge of data warehousing, metadata management, and master data management (MDM). • Experience with data profiling, cleansing and ...

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

... data engineers, and business analysts to support application and reporting needs - Implement backup, recovery, and disaster recovery strategies - Troubleshoot and resolve MongoDB-related issues in ...

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a ... Lead, develop, and scale a team of data analysts and engineers - including hiring, coaching, and ...

Leidos

Data Scientist

Gaithersburg, MD · On-site

$69K - $125K/yr

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 ...

Leidos

Data Scientist

Rockville, MD · On-site

$69K - $125K/yr

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 ...

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All JobsData Analyst Developer JobsSenior Data Analyst Developer JobsSenior Data Analyst Developer Jobs in Frederick, MD

Senior Data Analyst Developer information

See Frederick, MD salary details

$54.7K

$98.7K

$134.7K

How much do senior data analyst developer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior data analyst developer in Frederick, MD is $98,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $107,900.00 per year, depending on experience, location, and employer.

How much is a senior data analyst developer paid?

A senior data analyst developer typically earns between $80,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, or R, and may hold certifications like Certified Analytics Professional (CAP). Compensation can vary based on company size and complexity of projects.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.
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Senior Data Analyst Developer jobs near you

R & D Data Analyst

Inventwood

Frederick, MD • On-site

Full-time

Posted 15 days ago

Job description

General Summary / Position Purpose

The R&D Data Analyst turns the data behind SUPERWOOD — a molecularly densified wood material — into the insights that drive our research forward. It's an analytical role embedded in the R&D team at an ARPA-E-backed climate-materials company: you'll analyze experimental data, build and apply models for processes like chemical infusion and thermal behavior, and work alongside the scientists generating the data — in the lab, not just behind a screen.

This is InventWood's first dedicated data role. The majority of your time will be spent on analysis — regression, process modeling, and helping the research team draw real value from the data they produce — with the balance spent in the lab, learning our materials and processes firsthand. Along the way you'll help establish how we capture, structure, and use experimental data as the company grows. We're looking for someone rigorous and curious who wants to help build a data practice from the ground up in a high-intensity, build-the-company environment.

Job Duties and Responsibilities
  • Analyzes experimental datasets — builds and maintains regression models, comfortable with modelling mathematical equations, and clearly documents assumptions, methods, and limitations so results are reproducible and defensible.
  • Turns analysis into decisions — synthesizes findings into clear summaries, visualizations, and recommendations the research team can act on, and presents them in team discussions.
  • Works in the lab — spends regular time on the floor observing and assisting with experiments to understand firsthand how data is generated. This is not a heavy-machinery role, but comfort in a lab and manufacturing environment is essential.
  • Improves how data is captured — helps standardize experiment logging, builds templates and lightweight workflows, and flags data-quality issues early, before they compromise a result.
  • Contributes to study design — brings a data perspective to research planning conversations: identifying gaps in existing datasets, proposing follow-up experiments the data suggests, and helping the team narrow parameter spaces before physical testing.
  • Builds the data practice — as InventWood's first dedicated data hire, documents workflows and conventions so the practice scales cleanly as the team grows.
  • Follows all safety policies, standards, and regulations; upholds and promotes company Core Values and culture; takes on special projects as directed by your manager; and maintains strict confidentiality.
Minimum Knowledge, Skills, and Abilities Required
  • A BS in a quantitative or scientific field — statistics, data science, engineering, physics, chemistry, materials science, or related — and 3 – 5 years work experience in a related field.
  • Strong working proficiency in Python for data analysis (e.g., pandas, SciPy, Jupyter, matplotlib/Plotly or similar).
  • A solid grounding in regression analysis and applied statistics from a data analyst's perspective — understanding model fit, uncertainty, and when a conclusion is (and isn't) supported by the data. This is a requirement.
  • Experience or demonstrated aptitude modeling physical processes is a strong plus.
  • A materials science background is a plus, not a requirement — but genuine curiosity about the science is. You'll be expected to learn our materials and processes well enough to ask good questions.
  • Comfortable working in a lab environment and spending meaningful time alongside the research team, not just downstream of it.
  • A builder's mindset — comfortable with ambiguity, energized by establishing systems and conventions where none exist yet, and willing to do the unglamorous work (documentation, data hygiene, templates) that makes everything else possible.
  • Communicates clearly in writing and in person; documents work so someone else can follow it.
  • Team-oriented — brings energy, gets excited about building the company, and lifts the team. Detail-oriented, with strong emotional intelligence and humility.
  • Fluent in English; able to work onsite 5 days a week in Frederick, MD.
Physical Demands
  • Must be able to occasionally lift up to 25 pounds (samples, equipment).
  • Must be able to be fitted for, and wear, appropriate personal protective equipment when in lab and production areas.