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Data Analytics Jobs in Severn, MD (NOW HIRING)

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 ...

Guidehouse

Data Analytics Consultant

Washington, DC · On-site

$113K - $188K/yr

The Data Analytics Consultant will support DHS PLCY by delivering data visualizations, analytics products, and automated workflows that enable informed, mission-focused decision-making. This role ...

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All JobsData Analytics JobsData Analytics Jobs in Severn, MD

Data Analytics information

See Severn, MD salary details

$27

$60

$105

How much do data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analytics in Severn, MD is $60.86, according to ZipRecruiter salary data. Most workers in this role earn between $48.89 and $68.94 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 Severn, MD?

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

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Severn, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $126,591 per year, or $60.9 per hour.

Data Analytics Developer

TechOp Solutions International

Washington, DC • On-site

Full-time

Re-posted 6 days ago

Job description

We are seeking a detail-oriented Data Analyst to join our team and contribute to our data-driven decision-making processes. The candidate will support the U.S. Customs and Border Protection’s Power Platform team by developing, maintaining, and enhancing Power BI dashboards, improving the structure of Excel, SharePoint, and SQL databases that feed into the Power BI dashboards, and creating ETL (Extract, Transform, Load) processes to facilitate the movement of data from legacy databases such as Excel and SharePoint to modernized databases such as SQL. The team’s current Power Platform solutions are utilized by 10,000+ users annually. The ideal candidate will possess a strong analytical mindset coupled with experience in database management or data migration (ETL).

Requirements

  • Collect, clean, and organize data from various sources into Power BI dashboards to display actionable insights to leadership and identify trends, patterns, and anomalies
  • Perform detailed analysis of datasets using Excel and other analytical tools to derive actionable insights
  • Manage Excel, SharePoint, and SQL database structures that store data fed to the Power BI dashboards
  • Present findings and insights to key stakeholders in a clear and understandable manner, using Excel and Power BI
  • Extract, transform, and load data from legacy databases such as Excel, SharePoint, and Access Databases to modernized databases
  • Replace ETL technology such as R-Studio and Informatica with Power Automate
  • Advanced proficiency with Microsoft PowerBI
  • Advanced proficiency with Microsoft Excel
  • Intermediate proficiency with SQL
  • Beginner proficiency with Relationship Database Management Systems (RDMS) architecture and database administration
  • Desirable Skills:
  • Beginner / Intermediate proficiency with Power Automate
  • Beginner proficiency with ETL technology such as R, Python, SQL, or SSIS
  • Functional Application Development Documentation proficiency