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Sql Data Analyst Jobs in Silver Spring, MD (NOW HIRING)

You will work with various databases, write advanced SQL queries, and utilize Informatica for data integration. Responsibilities: * Consulting & Analysis: Provide data management consulting with ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Strong SQL skills * Skilled at completing technical design via iterative mockups * High proficiency ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Strong SQL skills * Skilled at completing technical design via iterative mockups * High proficiency ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Strong SQL skills * Skilled at completing technical design via iterative mockups * High proficiency ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Strong SQL skills * Skilled at completing technical design via iterative mockups * High proficiency ...

Write SQL queries for data analysis * Perform data validation and reconciliation * Support KPI and trend reporting * Assist with ad-hoc analysis * Document reports and metrics Required Qualifications ...

Write SQL queries for data analysis * Perform data validation and reconciliation * Support KPI and trend reporting * Assist with ad-hoc analysis * Document reports and metrics Required Qualifications ...

Write SQL queries for data analysis * Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications ...

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Sql Data Analyst information

See Silver Spring, MD salary details

$22.2K

$90.5K

$131.3K

How much do sql data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for sql data analyst in Silver Spring, MD is $90,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $103,400.00 per year, depending on experience, location, and employer.

What is an SQL data analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

What does an SQL data analyst do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

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

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL data analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

Does SQL pay well?

Data analysts who use SQL often earn competitive salaries, especially with experience and proficiency in database management, data visualization, and analytics tools. Salaries vary by industry and location but generally reflect the demand for data skills in the job market.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the widespread need for data management and analysis. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.

What are the most commonly searched types of Sql Data Analyst jobs in Silver Spring, MD?

The most popular types of Sql Data Analyst jobs in Silver Spring, MD are:

What are popular job titles related to Sql Data Analyst jobs in Silver Spring, MD?

For Sql Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Sql Data Analyst jobs in Silver Spring, MD look for?

The top searched job categories for Sql Data Analyst jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Sql Data Analyst jobs?

Cities near Silver Spring, MD with the most Sql Data Analyst job openings:

Infographic showing various Sql Data Analyst job openings in Silver Spring, MD 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 $90,531 per year, or $43.5 per hour.

SQL Database Analyst with Security Clearance

Springfield, VA • On-site

SecureVision
11 - 50 employees

Other

Re-posted 29 days ago


Job description

SecureVision has an immediate need for a SQL database analyst to analyze, design, develop, implement, and support SQL infrastructure deployment and management. The individual will work under limited supervision and perform additional duties as assigned to include, but not limited to:
• Manages the functionality and efficiency of a group of servers running on one or more operating systems.
• Maintains the integrity and security of servers and systems.
• Sets up administrator and service accounts.
• Maintains system documentation
• Interacts with users and evaluates vendor products.
• Develops and monitors policies and standards for allocation related to the use of computing resources.
• Develops and implements testing strategies and document results.
• Provides advice on performance tuning and training to end-users.
• Maintains current knowledge of relevant technologies as assigned.
• Participates in special projects as required. Requirements:
• Bachelors Degree in a Computer Science or related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience
• 10 + years of related database analysis and/or administration experience.
• SQL experience required. Oracle database administration a plus.
• CompTIA Security+ or equivalent recommended.
• Experience in Oracle or SQL administration/tuning; including knowledge and implementation of database high-availability solutions (Windows Server Failover Clusters, SQL Server Failover Cluster instances, and AlwaysOn Availability groups)
• Experience in monitoring, creating, and managing SQL server agent alerts
• Experience with Database backup, restore, migration, and Database snapshot technologies/strategies
• Knowledge on how to build/maintain efficient database table structures for both transactional and warehouse data
• Knowledge of Oracle 19c administration and performance tuning Candidates must hold a TS/SCI