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Data Analytics Jobs in Georgetown, DE (NOW HIRING)

Business Intelligence Architect

Salisbury, MD ยท On-site

$86K - $134K/yr

At least 7 years of experience in data aggregation, data analysis, and data interpretation techniques required. * Prior experience with business intelligence tools, statistical knowledge and ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Business Analyst

Dover, DE ยท On-site

$73K - $94K/yr

Perform data analysis, data mapping, and migration validation activities to ensure data integrity throughout the transition * Consistently deliver high-quality business analysis deliverables within ...

Showing results 21-40

Data Analytics information

See Georgetown, DE salary details

$22

$50

$87

How much do data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analytics in Georgetown, DE is $50.56, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $57.26 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 popular job titles related to Data Analytics jobs in Georgetown, DE?

For Data Analytics jobs in Georgetown, DE, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Georgetown, DE look for?

The top searched job categories for Data Analytics jobs in Georgetown, DE are:

What cities near Georgetown, DE are hiring for Data Analytics jobs?

Cities near Georgetown, DE with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Georgetown, DE as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $105,167 per year, or $50.6 per hour.

Quality & Safety Data Analyst (EPIC and Legacy Systems)

Bebee Healthcare

Lewes, DE โ€ข On-site

$74K/yr

Full-time

Posted 17 days ago


Job description

Why Beebe?
Become part of the Beebe team - an inclusive team positioned in a vibrant, coastal community. Enjoy a fulfilling career as you support the health of our patients and a team focused on excellence.
Overview
BIDs design and create analytics solutions based on an in-depth knowledge of operational system usage. This level of knowledge requires a deep understanding of system build, end user workflows, and patterns of use. The best BIDs have both the technical skills required to design and write reports and the operational knowledge
Responsibilities
  • Configuring and testing Epic-released and Foundation System content for all applications, including:
    • Reporting Workbench
    • SlicerDicer
    • Radar
    • Cogito SQL
  • Creating content to display Epic data from Chronicles, Clarity, and Caboodle
  • Writing SQL and configuring Radar settings for custom SQL metrics
  • Modifying existing reports, as necessary
  • Distributing analytics content to data consumers
  • Reviewing peer reports for validity
  • Working with subject matter experts to understand the needs of data consumers
  • Maintaining the Analytics Catalog and associated metadata records
  • Testing analytics build in a specified testing environment and volume testing in live environments
  • Reviewing upgrade documentation related to Cogito features and determining how to implement the changes
  • BIDs might also be responsible for building and maintaining:
    • Cubes
    • Extracts
    • SlicerDicer custom filters
    • Third-party BI tools
    • Epic data in Caboodle

Qualifications
  • Strong communication skills
  • Critical thinking and an analytical mind
  • User-focused design and data visualization skills
  • Proficiency with SQL and relational database concepts
  • Proficiency and demonstrated experience with analytics tools
  • Familiarity with Epic applications and database structure, through training that occurs early in the implementation
  • Ability to gain an in-depth understanding of the data model through data model classes geared toward content areas
  • Ability to understand data structures that could benefit the entire data environment
  • For financial reporting: Prior experience working with an AR system is desirable, but not required
  • For clinical reporting: Prior experience working with an EMR system is desirable, but not required

Education
  • A degree in engineering, physics, computer sciences, math, information systems, or statistics/ or 10 years of proven experience on data base management and/or strategy

Other Information
Entry
USD $74,568.00/Yr.
Max
USD $115,585.60/Yr.