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Data Analytics Jobs in Columbia, MD (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

... and Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions using Ab Initio for new data integration requests - Analyze and investigate data quality issues ...

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional) Benefits include: * Medical, Dental ...

Alpha Omega Integration

Data Analytics Lead

Washington, DC · Hybrid

$80K - $115K/yr

Data Analytics Lead Clearance Required: Public Trust - Federal Client requires US Citizenship Work Location: Hybrid, Washington, DC The Data Analytics Lead will support the program by overseeing data ...

Alpha Omega Integration

Data Analytics Lead

Washington, DC · On-site

$80K - $115K/yr

Data Analytics Lead Clearance Required: Public Trust - Federal Client requires US Citizenship Work Location: Hybrid, Washington, DC The Data Analytics Lead will support the program by overseeing data ...

Alpha Omega

Data Analytics Lead

Washington, DC · On-site

$80 - $115/hr

Data Analytics Lead Clearance Required: Public Trust - Federal Client requires US Citizenship Work Location: Hybrid, Washington, DC The Data Analytics Lead will support the program by overseeing data ...

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All JobsData Analytics JobsData Analytics Jobs in Columbia, MD

Data Analytics information

See Columbia, MD salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analytics in Columbia, MD is $54.33, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $61.54 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Columbia, MD?

The most popular types of Data Analytics jobs in Columbia, MD are:

What are popular job titles related to Data Analytics jobs in Columbia, MD?

For Data Analytics jobs in Columbia, MD, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Columbia, MD look for?

The top searched job categories for Data Analytics jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Data Analytics jobs?

Cities near Columbia, MD with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Columbia, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,303 per year, or $55 per hour.

Data Analytics Developer

ApplyLogic Consulting Group, LLC

Northern Virginia, VA

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description


ApplyLogic is a fast-paced Service-Disabled Veteran-Owned Small-Business, headquartered in Vienna, VA. Our people are our greatest asset, and our company culture is grounded on that belief. We offer challenging and interesting work in a friendly and supportive environment. Through prime and subcontracts, we deliver best-in-class expertise to solve complex technical problems. 
 

We're looking for a talented Data Analytics Developer to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area). This individual will help transform data from multiple sources into useful reports, dashboards, and insights. You will use SQL, Power BI, Excel, and other analytical tools to support reporting and decision-making.

Work Location:

  • Onsite – Northern Virginia (Alexandria/Falls Church area)

Clearance:
Must be a U.S. Citizen with the ability to obtain and maintain Government security clearance.

Primary Roles and Responsibilities:

  • Develop and maintain reports, dashboards, and data visualizations using Power BI or similar business intelligence tools.
  • Write and execute SQL queries to retrieve, analyze, and validate data from relational databases and other sources.
  • Perform recurring and ad hoc data analysis to identify trends, patterns, anomalies, and areas requiring attention.
  • Prepare data for reporting and analysis by reviewing, cleaning, and validating data from multiple sources.
  • Support the development and maintenance of Power BI datasets, reports, dashboards, and visualizations.
  • Assist with gathering and documenting reporting and analytical requirements from business and technical stakeholders.
  • Perform data validation and quality checks to ensure reports and dashboards accurately reflect underlying data.
  • Assist with developing recurring operational, management, and analytical reports.
  • Troubleshoot reporting and data issues and coordinate with technical teams when additional support is required.
  • Document report definitions, data sources, business rules, and reporting procedures.
  • Support efforts to improve reporting processes, data accuracy, and reporting efficiency.
  • Collaborate with data engineers, database administrators, developers, and business stakeholders.

Required Education, Experience, & Skills:

  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field, or equivalent combination of education and relevant experience.
  • 2+ years of professional experience in data analysis, business intelligence, reporting, or a related discipline.
  • Experience using SQL to query and analyze data.
  • Experience developing reports, dashboards, or data visualizations using Power BI or a similar BI platform.
  • Experience working with data from relational databases or multiple data sources.
  • Understanding of data analysis, data validation, and data quality concepts.
  • Strong analytical and problem-solving skills.
  • Ability to translate data into clear and understandable reports and visualizations.
  • Strong attention to detail and ability to identify inconsistencies or anomalies in data.
  • Strong written and verbal communication skills.
  • Ability to work independently while collaborating effectively with technical and business stakeholders.
Preferred Qualifications
  • Advanced Power BI experience, including DAX and Power Query.
  • Experience with SQL Server, Oracle, PostgreSQL, or similar databases.
  • Advanced Microsoft Excel skills, including PivotTables, Power Query, and complex formulas.
  • Experience with Tableau, Qlik, or other BI platforms.
  • Experience developing executive, operational, or management dashboards.
  • Experience with data modeling and analytical datasets.
  • Experience with Python, R, or other analytical programming languages.
  • Experience with data warehousing.
  • Experience with data quality or data governance practices.
  • Experience supporting complex enterprise environments.
  • Experience supporting U.S. government or federal contracting programs.
  • Active or previously held U.S. government security clearance.

The Perks of Being on Our Team
ApplyLogic offers competitive salaries with a robust Fortune-500 type benefits package. Some of the benefits you will receive when you join us are: 
  • Employee Assistance Program
  • 401K
  • Medical/Dental/Vision Insurance
  • Life/Short-Term Disability/Critical Illness/Accident Insurance
  • 15 PTO Days 
  • 11 Federal Holidays
  • Up to $5K towards continuing education and/or professional development 

Salary Range
$75,000-$95,000
The posted salary range represents the anticipated compensation for this position. Final compensation will be based on the selected candidate's qualifications, years of directly relevant experience, education, certifications, security clearance, contract requirements, and other business considerations.