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Remote Data Analysis Jobs in Delaware (NOW HIRING)

Data Analyst

Lewes, DE · On-site +1

Conduct ad-hoc analysis to address specific business questions and challenges. * Stay updated on industry trends and best practices in data analysis. Requirements: * Bachelor's degree in Data Science ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Modern Data Platforms & Analytics * Support Agilent's adoption of Microsoft Fabric, Power BI, Snowflake, and modern data management capabilities, with a focus on governed, reusable, and business ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

This role is based in United State and is a remote position. You will be part of a collaborative ... Analyze process and laboratory data to identify improvement opportunities and make recommendations

Director of Sales

Wilmington, DE · On-site +1

$120K - $150K/yr

This is position is fully remote. Scope of Responsibilities * Develop and execute strategic sales ... Leverage healthcare data analytics to provide valuable insights and solutions to clients. * Utilize ...

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

$15.25 - $19.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

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Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in Delaware?

The most popular types of Data Analysis jobs in Delaware are:

What are popular job titles related to Remote Data Analysis jobs in Delaware?

For Remote Data Analysis jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Remote Data Analysis jobs?

Cities in Delaware with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst

Winaxis LLC

Lewes, DE • On-site, Remote

Full-time

Re-posted 7 days ago


Job description

Description

Join Winaxis LLC as a Data Analyst and play a crucial role in analyzing and interpreting complex data sets to drive key business decisions. As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in providing valuable insights that will directly impact the company's strategic direction and growth.

As a Data Analyst at Winaxis LLC, you will work on a variety of projects ranging from market research and trend analysis to performance tracking and forecasting. Your analytical skills will be put to the test as you uncover patterns, trends, and correlations within the data to help optimize processes and improve overall business performance. This position offers a great opportunity to work remotely and collaborate with cross-functional teams to drive data-informed decisions.

Responsibilities:
  • Collect, clean, and validate data to ensure accuracy and reliability.
  • Analyze large datasets using statistical methods and data visualization techniques.
  • Interpret data and present findings to key stakeholders in a clear and concise manner.
  • Develop and maintain reports, dashboards, and data visualizations to track KPIs.
  • Identify trends, patterns, and insights to support business objectives.
  • Collaborate with teams to define data requirements for various projects.
  • Conduct ad-hoc analysis to address specific business questions and challenges.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
  • Proficiency in data analysis tools such as SQL, Excel, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently and collaborate effectively in a team environment.
  • Excellent communication skills to convey complex findings to non-technical stakeholders.
  • Knowledge of statistical methods and techniques for data analysis.
  • Experience in interpreting and analyzing large datasets to extract insights.