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Data Analytics Jobs in Halethorpe, MD (NOW HIRING)

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... data moving cleanly, efficiently, and on schedule for analytics and operational needs. Required Skills * Experience using the Linux CLI and Linux tools * Experience developing Bash scripts to ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site

$113K - $136K/yr

This role involves building scalable data transformation frameworks and data products, designing data analytics pipelines, and mentoring junior engineers while delivering trusted data products that ...

Under Armour, Inc.

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

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All JobsData Analytics JobsData Analytics Jobs in Halethorpe, MD

Data Analytics information

See Halethorpe, MD salary details

$23

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Halethorpe, MD is $53.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $60.58 per hour, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 are popular job titles related to Data Analytics jobs in Halethorpe, MD? For Data Analytics jobs in Halethorpe, MD, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Halethorpe, MD look for? The top searched job categories for Data Analytics jobs in Halethorpe, MD are:
What cities near Halethorpe, MD are hiring for Data Analytics jobs? Cities near Halethorpe, MD with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Halethorpe, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,220 per year, or $53.5 per hour.

Data Analytics Engineer

GIGATEC Engineering

Annapolis Junction, MD • On-site

$117K - $140K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
GIGATEC Engineering is seeking a Data Analytics Engineer to play a key role in building workflow engines. The position involves designing reliable Apache Airflow pipelines to ensure efficient data movement for analytics and operational needs.
Responsibilities:
• build the workflow engines behind the curtain
• designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics and operational needs
Qualifications:
Required:
• Top Secret clearance
• Favorable completion of a polygraph
• Authorized to work in the U.S.
• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python and Java
• Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Experience using Distributed Big Data processing engines including Apache Spark
• Experience with containerization technologies such as Docker, containerd, and Podman
• Experience with Git Source Control System
Preferred:
• Experience using the Atlassian Tool Suite (JIRA, Confluence)
• Familiar with AWS Cloud Services and Infrastructure
• Appreciates a sense of humor and the occasional well-timed joke.
Company:
At GIGATEC, we specialize in engineering advancements across cybersecurity, software development, and systems integration. Founded in 2020, the company is headquartered in Columbia, USA, with a team of 2-10 employees. The company is currently Early Stage.

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