Client Service Analyst Jobs in Washington, DC
Client Service Analyst jobs in Washington, District of Columbia are in strong demand, concentrated in the Capitol Hill corridor, the Central Business District, and the NoMa and Navy Yard neighborhoods, across government contracting, financial services, and consulting. Employers hiring right now include Global Impact, Microchip Technology, and Cox Communications. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 47+ Client Service Analyst jobs
About the Role
As an Associate Client Data Engineer at CredLens, you will focus on the client-onboarding workflow that brings new credential-issuer data into our platform. You will learn the platform and the fundamentals of production data engineering with direct support from more senior engineers, and gain hands-on experience across the full onboarding workflow, with a clear path to grow into a broader data-engineering role over time. Because so much of the work involves direct client interaction, excellent customer-service skills and clear communication are essential.
This is an early-career, hands-on role focused exclusively on onboarding: partnering directly with clients to receive their data, understanding and documenting the data structure, and cleaning, transforming, and validating the data so it is ready for CredLens' data pipeline. This is an excellent opportunity to start a data career from the ground level by continuing to build a data engineering skillset while working in a role that directly impacts end users. You will work within a small, cohesive Data Engineering team, reporting to the Data Engineering Team Lead. The team is based in Washington, DC. This is a hybrid role requiring in-person attendance at the office at least two days a week, likely Tuesdays and Thursdays.
Note: this is not a "big data" or "real-time" analytics role. It best suits a mission-aligned individual who cares about using data to create more equitable outcomes and who focuses on quality, reliability, and a smooth client experience.
Context
CredLens is building a nonprofit national data trust focused on verified outcomes for non-degree credentials. The effort is an initiative launched by the Strada Education Foundation in 2024. CredLens will deliver actionable insights and power ongoing research for industry-based, professional, and workforce credentials.
CredLens is designed to fill the data gap for non-degree credentials. The attainment of these credentials is growing, but there is little to no data tracking their outcomes. CredLens will offer tailored data analytics and visualizations to credential issuers, workforce training providers, philanthropic funding partnerships, and state system partnerships to support the continuous improvement of credential quality and to support informed funding and scaling decisions.
Key Responsibilities
Core responsibility areas, listed below with the approximate time required for execution in the first 12 - 18 months of work if the incumbent is new to the role:
Serve as the data engineering point of contact for new clients during onboarding, guiding them through what data to provide and in what format.
Receive incoming client data and perform exploratory data analysis to understand its structure, quality, and completeness.
Identify and flag missing, malformed, or inconsistent fields early, and coordinate with the client to resolve them.
Clean, transform, and validate client data so it conforms to CredLens' standards and is ready for downstream ingestion.
Build and run the models and transformations that move a client's data through the onboarding stages of the pipeline, using SQL, Python, DBT, and Airflow.
Document each client's onboarding: data sources, decisions made, and any exceptions, contributing to shared onboarding procedures and templates.
Track onboarding progress and time, and surface areas of friction to improve the process so that it becomes faster and more repeatable over time.
Work with the broader Data Engineering team to research, learn, and implement new improvements to the onboarding pipeline’s efficiency & scalability so it can grow with us.
Qualifications and Experience
Education
Bachelor's degree in computer science, information systems, data science, or a related field is required. OR, equivalent practical experience is required, at least two years.
Experience Required
Suitable for a new or recent graduate; no prior professional experience required. Internships, academic projects, or other hands-on data work are a plus, as is a demonstrated ability to learn quickly.
Working proficiency in SQL and Python for data manipulation and analysis.
Some past experience working with and cleaning raw datasets.
Strong customer-service orientation and the ability to communicate clearly with non-technical clients.
Attention to detail, particularly around data quality, validation, and documentation.
Consistently takes initiative to learn and try new things, and keeps a mindset of constant improvement.
Experience Preferred
Exposure to Redshift, Snowflake, PostgreSQL, or similar databases.
Experience with Pandas DataFrames, Jupyter notebooks, and other quick data processing tools.
Familiarity with DBT, Airflow, or other data pipeline and orchestration tooling.
Familiarity with AWS S3 and Lambda functions, or other AWS services.
Experience working with Github, or another code version control platform.
Experience handling sensitive or confidential data and following security best practices.
Experience working in a startup, nonprofit, or mission-driven environment.
Skills Required
SQL
Python
Data cleaning & manipulation
Interpersonal skills
About CredLens
Non-degree credentials are reshaping how people move from learning to earning. Millions of learners are pursuing certificates, bootcamps, and workforce programs as pathways to better jobs and higher wages. But growth has outpaced clarity.
Thousands of offerings, uneven definitions, and fragmented outcomes data make it nearly impossible to distinguish impact from activity. When results are unclear, learners carry the risk, strong programs can't stand out, and investment can't reliably flow to what works.
CredLens exists to fix that.
We are a neutral, trusted source of high-quality outcomes data for non-degree credentials — connecting issuer-verified credential records to real-world employment, earnings, and education outcomes. Our partners use that data to improve programs, guide investment, and strengthen career pathways for learners.
Two years in, we have a firmly established platform, a growing client base, and the backing of Strada Education Foundation. We are not a startup finding its footing. We are a company beginning to scale — and we are building the team that will take us there.
Mission and Value Alignment
Travel Requirements
Approximately 5% domestic travel anticipated.
plus annual bonus
About the Role
As an Associate Client Data Engineer at CredLens, you will focus on the client-onboarding workflow that brings new credential-issuer data into our platform. You will learn the platform and the fundamentals of production data engineering with direct support from more senior engineers, and gain hands-on experience across the full onboarding workflow, with a clear path to grow into a broader data-engineering role over time. Because so much of the work involves direct client interaction, excellent customer-service skills and clear communication are essential.
This is an early-career, hands-on role focused exclusively on onboarding: partnering directly with clients to receive their data, understanding and documenting the data structure, and cleaning, transforming, and validating the data so it is ready for CredLens' data pipeline. This is an excellent opportunity to start a data career from the ground level by continuing to build a data engineering skillset while working in a role that directly impacts end users. You will work within a small, cohesive Data Engineering team, reporting to the Data Engineering Team Lead. The team is based in Washington, DC. This is a hybrid role requiring in-person attendance at the office at least two days a week, likely Tuesdays and Thursdays.
Note: this is not a "big data" or "real-time" analytics role. It best suits a mission-aligned individual who cares about using data to create more equitable outcomes and who focuses on quality, reliability, and a smooth client experience.
Context
CredLens is building a nonprofit national data trust focused on verified outcomes for non-degree credentials. The effort is an initiative launched by the Strada Education Foundation in 2024. CredLens will deliver actionable insights and power ongoing research for industry-based, professional, and workforce credentials.
CredLens is designed to fill the data gap for non-degree credentials. The attainment of these credentials is growing, but there is little to no data tracking their outcomes. CredLens will offer tailored data analytics and visualizations to credential issuers, workforce training providers, philanthropic funding partnerships, and state system partnerships to support the continuous improvement of credential quality and to support informed funding and scaling decisions.
Key Responsibilities
Core responsibility areas, listed below with the approximate time required for execution in the first 12 - 18 months of work if the incumbent is new to the role:
Serve as the data engineering point of contact for new clients during onboarding, guiding them through what data to provide and in what format.
Receive incoming client data and perform exploratory data analysis to understand its structure, quality, and completeness.
Identify and flag missing, malformed, or inconsistent fields early, and coordinate with the client to resolve them.
Clean, transform, and validate client data so it conforms to CredLens' standards and is ready for downstream ingestion.
Build and run the models and transformations that move a client's data through the onboarding stages of the pipeline, using SQL, Python, DBT, and Airflow.
Document each client's onboarding: data sources, decisions made, and any exceptions, contributing to shared onboarding procedures and templates.
Track onboarding progress and time, and surface areas of friction to improve the process so that it becomes faster and more repeatable over time.
Work with the broader Data Engineering team to research, learn, and implement new improvements to the onboarding pipeline’s efficiency & scalability so it can grow with us.
Qualifications and Experience
Education
Bachelor's degree in computer science, information systems, data science, or a related field is required. OR, equivalent practical experience is required, at least two years.
Experience Required
Suitable for a new or recent graduate; no prior professional experience required. Internships, academic projects, or other hands-on data work are a plus, as is a demonstrated ability to learn quickly.
Working proficiency in SQL and Python for data manipulation and analysis.
Some past experience working with and cleaning raw datasets.
Strong customer-service orientation and the ability to communicate clearly with non-technical clients.
Attention to detail, particularly around data quality, validation, and documentation.
Consistently takes initiative to learn and try new things, and keeps a mindset of constant improvement.
Experience Preferred
Exposure to Redshift, Snowflake, PostgreSQL, or similar databases.
Experience with Pandas DataFrames, Jupyter notebooks, and other quick data processing tools.
Familiarity with DBT, Airflow, or other data pipeline and orchestration tooling.
Familiarity with AWS S3 and Lambda functions, or other AWS services.
Experience working with Github, or another code version control platform.
Experience handling sensitive or confidential data and following security best practices.
Experience working in a startup, nonprofit, or mission-driven environment.
Skills Required
SQL
Python
Data cleaning & manipulation
Interpersonal skills
About CredLens
Non-degree credentials are reshaping how people move from learning to earning. Millions of learners are pursuing certificates, bootcamps, and workforce programs as pathways to better jobs and higher wages. But growth has outpaced clarity.
Thousands of offerings, uneven definitions, and fragmented outcomes data make it nearly impossible to distinguish impact from activity. When results are unclear, learners carry the risk, strong programs can't stand out, and investment can't reliably flow to what works.
CredLens exists to fix that.
We are a neutral, trusted source of high-quality outcomes data for non-degree credentials — connecting issuer-verified credential records to real-world employment, earnings, and education outcomes. Our partners use that data to improve programs, guide investment, and strengthen career pathways for learners.
Two years in, we have a firmly established platform, a growing client base, and the backing of Strada Education Foundation. We are not a startup finding its footing. We are a company beginning to scale — and we are building the team that will take us there.
Mission and Value Alignment
Travel Requirements
Approximately 5% domestic travel anticipated.
plus annual bonus
See All 47 Client Service Analyst Jobs in Washington
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Find Client Service Analyst JobsClient Service Analyst Job Market in Washington
Who's Hiring
Top Industries Hiring
- Fintech
- Staffing & Recruiting
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
Client Service Analyst Jobs in Washington: Frequently Asked Questions
How do I get a client service analyst job in Washington?
The strongest hiring comes from government contractors, federal agencies, financial institutions, and management consulting firms concentrated in the Central Business District, Capitol Hill, and Rosslyn-Ballston corridor just across the Potomac. Candidates who combine CRM proficiency with an understanding of government procurement cycles or financial compliance stand out. Networking through professional associations active in Washington and tailoring applications to the contractor and consulting sectors gives you a measurable edge over generalist applicants.
Which companies hire client service analysts in Washington?
Employers hiring client service analysts in Washington right now include Global Impact, Microchip Technology, and Cox Communications, based on current listings on Migrate Mate as of July 2026. Washington's employer mix skews heavily toward federal contractors, financial services firms, and policy-focused consulting organizations that maintain large client-facing service teams.
Are there remote client service analyst jobs in Washington?
Yes, though availability depends on the role's client interaction requirements, since positions involving direct stakeholder management or on-site government work tend to stay in-person. About 73% of client service analyst openings tied to Washington are remote or hybrid as of July 2026, with flexibility most common in analyst-heavy roles at consulting and technology firms rather than those requiring daily federal facility access.
How can I get a client service analyst job in Washington with little or no experience?
The most realistic entry path in Washington is through administrative or program coordinator roles at government contractors or trade associations, which frequently promote into client service analyst positions once you demonstrate relationship management skills. Entry-level openings also appear regularly at financial services firms in Georgetown and the Central Business District. Familiarity with Salesforce or ServiceNow and any exposure to federal procurement terminology will distinguish you from other entry-level applicants in this market.
Which industries hire the most client service analysts in Washington?
The sectors hiring the most client service analysts in Washington are Fintech, Staffing & Recruiting, and Technology & Software, based on current listings on Migrate Mate as of July 2026. Washington's concentration of federal agencies, contractors, and policy-driven organizations creates sustained demand for analysts who can manage institutional client relationships and translate complex service needs into actionable solutions.
Related Jobs in District of Columbia
See All 47 Client Service Analyst Jobs in Washington
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