Senior Data Analyst
Eliassen Group
McLean, VA · Posted October 30, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Eliassen Group
More in Virginia job market · All Senior Data Analyst jobs (160) · Financial Services & Banking · Data & Analytics jobs
More roles at Eliassen Group
- Software Developer 2 — Backend Microservices & Applied AI · Englewood, CO
- Senior Cloud DevOps Engineer II · Washington, DC
- Business Analyst · New York, NY
- Software Engineer · Boston, MA
- Electrical-Mechanical Designer · Bloomfield, CT
- Principal Data Scientist · Cincinnati, OH
Similar jobs
- Data Analyst · Caci, LLC - Commercial · Chantilly, VA
- Data Engineer/Analyst · Caci, LLC - Commercial · Alexandria, VA
- Senior Data Scientist / AI Machine Learning Research Engineer · Caci, Inc. - Federal · Sterling, VA
- Data Scientist · Caci, Inc. - Federal · Fort Belvoir, VA
- Data Scientist - AI/ML Specialist · Caci International · Fairfax, VA
- Data Scientist--JIATF · Caci Technologies · 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 71 open senior data analyst listings that state pay, the middle half runs $110,000 to $145,000 and the median is $127,500.
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
Description:
Hybrid 3 days onsite in McLean, VA
Our client is seeking a senior data analyst to improve the data ecosystem and stand up new datasets. The analyst will model data, enhance data quality, streamline scripts and pipelines, and collaborate using version control. The role will also communicate issues and findings to stakeholders and support governance standards.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $50.00 to $55.00/hr. w2
Responsibilities:
Improve the data ecosystem and stand up new datasets.
Design and implement data models for relational databases.
Consolidate and simplify scripts and pipelines to improve reusability, data quality, and performance.
Apply enterprise data management practices, including preventative and detective data quality checks.
Use Git or similar tools for code and pipeline collaboration.
Communicate identified issues and risks to stakeholders.
Experience Requirements:
5+ years of experience with SQL and Python.
Data modeling experience with relational databases.
Experience consolidating and simplifying scripts and pipelines.
Experience with enterprise data quality controls.
Experience using Git or similar version control tools.
Strong communication skills.
Nice to have: 5+ years with Databricks, OneLake, and OneStream.
Nice to have: Strong domain knowledge to translate business context into insights and support governance.
Nice to have: Ability to work with disparate and ambiguous data sources.