Data Analyst
Strategic Staffing Solutions
McLean, VA · Posted November 2, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Strategic Staffing Solutions
More in Virginia job market · All Data Analyst jobs (605) · Data & Analytics jobs
Similar jobs
- Principal Data Scientist · Trinzic · Reston, VA
- Data Scientist · Trinzic · McLean, VA
- Data Scientist Lead - Data, Modeling & Analytics · PNC Financial Services Group · Tysons Corner, VA
- Data Scientist · Steampunk · McLean, VA
- Associate Data Scientist · Steampunk · McLean, VA
- Data Scientist · Caci, LLC - Commercial · Alexandria, VA
Where McLean, VA ranks
Where McLean, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best all-round cities for mid-career professionals in the Mid-Atlantic79 / 100 · of 37
- #1Best all-round cities for mid-career professionals in the Southeast78 / 100 · of 33
- #1Best all-round cities for AI careers in the Southeast91 / 100 · of 33
- #2Best cities for AI-skill jobs in the Southeast17% · of 87
- #2Best all-round cities for AI careers in the Mid-Atlantic89 / 100 · of 37
- #3Best cities for entry-level jobs that want AI skills in the Southeast10% · of 77
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 182 open data analyst listings that state pay, the middle half runs $78,000 to $112,500 and the median is $94,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Senior Data Analyst / Data Engineer
Job Type: Contract Location: TBD
Position Overview
We are seeking an experienced Senior Data Analyst / Data Engineer with strong SQL and Python skills to optimize existing data pipelines, consolidate scripts, and develop new datasets to support business needs.
The ideal candidate is a hands-on technical professional who can work independently with ambiguous or loosely defined data, identify opportunities for improvement, and deliver scalable, reusable, and high-quality data solutions.
Key Responsibilities
Analyze, consolidate, and optimize existing SQL and Python scripts and data pipelines to improve efficiency, performance, and reusability.
Design, develop, and implement new datasets to support business reporting, analytics, and operational requirements.
Work with ambiguous, incomplete, or loosely defined datasets to identify patterns, resolve inconsistencies, and establish reliable data structures.
Improve data quality, consistency, and integrity across existing and newly developed datasets.
Collaborate with business and technical stakeholders to clarify data requirements and translate business needs into technical solutions.
Troubleshoot data issues, streamline workflows, and implement sustainable improvements to data processes.
Document data transformations, pipeline logic, and development processes.
Required Qualifications
Strong hands-on SQL and Python development experience.
Proven experience consolidating, simplifying, and optimizing existing scripts and data pipelines.
Experience building and deploying new datasets from the ground up.
Demonstrated ability to work with ambiguous, unstructured, or poorly defined data requirements.
Strong data analysis, troubleshooting, and problem-solving skills.
Ability to work independently and collaborate with cross-functional teams.
Preferred Qualifications
Experience with Databricks, Microsoft OneLake, or OneStream .
Experience using Git or similar version control tools.
Familiarity with Capital One datasets, data platforms, or enterprise data environments.
Previous experience in financial services or banking.
Ideal Candidate
We welcome candidates from both Data Analyst and Data Engineer backgrounds , provided they have strong SQL and Python expertise, hands-on pipeline optimization experience, and the ability to develop reliable datasets in environments with unclear or evolving requirements.