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Intermediate Data Analyst Jobs in Washington, DC

ECS

Data Analyst with Security Clearance

Fairfax, VA · On-site

$93K - $140K/yr

Successful candidates will have an intermediate understanding of data modeling concepts and be able to perform impact analysis on change requests, respond to queries, and facilitate independent ...

EnProVera

Data Analyst Supporting the FBI

Linthicum, MD · On-site

... Data Analyst. In this role, you will be supporting the overall mission of the Federal Bureau of ... intermediate skills preferred * Proven commitment and competence to provide excellent customer ...

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All JobsIntermediate Data Analyst JobsIntermediate Data Analyst Jobs in Washington, DC

Intermediate Data Analyst information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do intermediate data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for intermediate data analyst in Washington, DC is $93,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,800.00 per year, depending on experience, location, and employer.

What is an intermediate data analyst?

Intermediate Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They possess solid analytical skills, working knowledge of data analysis tools, and the ability to interpret complex data sets. Typically, they have some experience beyond entry-level roles and can handle more advanced tasks such as building reports, creating dashboards, and supporting business strategies with data-driven insights. Their work often involves collaborating with other teams to identify trends and provide actionable recommendations.

How does an intermediate data analyst typically collaborate with other departments within an organization?

As an Intermediate Data Analyst, you'll frequently work alongside teams such as marketing, finance, operations, and IT to gather requirements, interpret data needs, and deliver actionable insights. You may be responsible for translating business questions into analytical tasks, sharing findings through presentations or dashboards, and supporting decision-making processes. Collaboration often involves participating in cross-functional meetings, clarifying data definitions, and ensuring that analysis aligns with organizational goals. Building strong relationships with stakeholders is key to understanding their challenges and ensuring your work has maximum impact.

What are the key skills and qualifications needed to thrive as an intermediate data analyst, and why are they important?

To thrive as an Intermediate Data Analyst, you need strong analytical skills, experience with data manipulation and statistical analysis, and a relevant degree such as in mathematics, statistics, or computer science. Proficiency in tools like SQL, Excel, Python or R, and familiarity with data visualization platforms such as Tableau or Power BI are typically required. Attention to detail, effective problem-solving, and clear communication skills help you translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate analyses that drive informed business decisions.

Is it still worth it to become a data analyst in 2026?

Data analyst roles remain valuable in 2026 as organizations continue to rely on data-driven decision-making, with skills in SQL, Excel, and data visualization tools like Tableau or Power BI in demand. The role often requires strong analytical skills, familiarity with programming languages such as Python or R, and the ability to interpret complex data sets, making it a stable career choice for those with relevant skills. Continuous learning and certification can enhance job prospects in this evolving field.

What is intermediate level data analysis?

Intermediate data analysts perform more complex data analysis tasks than entry-level roles, including data cleaning, visualization, and basic statistical modeling using tools like Excel, SQL, or Python. They interpret data insights to support decision-making and often work with larger datasets and more advanced techniques than beginners.

What are the most commonly searched types of Data Analyst jobs in Washington, DC?

The most popular types of Data Analyst jobs in Washington, DC are:

What are popular job titles related to Intermediate Data Analyst jobs in Washington, DC?

For Intermediate Data Analyst jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Intermediate Data Analyst jobs in Washington, DC look for?

The top searched job categories for Intermediate Data Analyst jobs in Washington, DC are:

Intermediate Data Analyst jobs near you
Infographic showing various Intermediate Data Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,564 per year, or $45 per hour.

Data Analyst - Digital (Customer Insights & Analytics)

M&T Bank

Washington, DC • On-site

$94K - $157K/yr

Full-time

Posted 10 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description

OVERVIEW:

Data Analyst on the Domain Analytics Team, part of M&T's Customer Insights & Analytics Organization. We provide analytical insights that empower Marketing and Digital Product organizations to drive business growth, strengthen customer relationships, and accelerate digital adoption.

Our work spans:

  • Experimentation & Measurement - Designing and analyzing tests to optimize customer acquisition for Retail and Business Banking segments.
  • Cross-Channel Analytics & Attribution - Understanding how customers interact across channels and identifying what drives engagement.
  • Digital Journey Analytics - Uncovering insights from web and app behaviors to improve customer experiences.
  • Digital Product Enablement - Partnering with product teams across the development lifecycle to support new feature launches with data and performance measurement.
  • Data Products & Ad-Hoc Analysis - Building dashboards and self-service tools, and delivering quick-turn insights to answer business questions.

The Data Analyst will partner with Digital Product and Technology teams to deliver data products, insights, and scalable reporting solutions that enable data-informed decision-making. This role will support the full digital product lifecycle by measuring performance, monitoring customer engagement, evaluating new features, and providing analytical guidance for both strategic roadmap initiatives and operational priorities.

LOCATION:

This role follows a hybrid work model, requiring onsite presence four days per week at one of M&T Bank's regional offices. Candidates must reside within a reasonable commuting distance to one of the following locations:

  • 345 Main Street, Buffalo, NY

  • 115 Federal Street, Boston, MA

  • 1 Light Street, Baltimore, MD

  • 1350 I Street NW, Washington, DC

  • 1100 North Market Street, Wilmington, DE

  • 277 Park Avenue, New York, NY

  • 850 Main Street, Bridgeport, CT

  • 77 Pine Street, Burlington, VT

POSITION RESPONSIBILITIES:

  • Explore, mine, and profile data across multiple datasets to gain and interpret insights for use in dashboards, ad-hoc analysis and analytics products.
  • Support digital platform modernization initiatives by designing and validating reporting, dashboards, and tracking solutions for migrations to new platforms and data sources.
  • Collaborate with both technical and nontechnical stakeholders to translate business questions into analytical solutions.
  • Support highquality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.
  • Develop business intelligence solutions designed to meet business needs.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Design, implement, maintain, and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.

MINIMUM QUALIFICATIONS REQUIRED:

  • Bachelor's degree and a minimum of 3 years of related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
  • Intermediate SQL, experience querying databases (SQL Server, Snowflake, etc).
  • Experience working in large databases
  • Experience with Business Intelligence/Visualization tools (PowerBI, Tableau)

IDEAL QUALIFICATIONS PREFERRED:

  • 1 or more years related work experience in data analysis, bonus if supporting digital product development, operations, or technology organizations.
  • Experience with programming languages such as Python, SAS
  • Experience with reporting automation (PowerBI, Alteryx)
  • Experience with one or more cloud databases.
  • Experience working within an agile environment
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $94,400.00 - $157,400.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBaltimore, Maryland, United States of America

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