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Data Analysis Assistant Jobs in Delaware (NOW HIRING)

Athenago

Data Science Intern

Wilmington, DE

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ...

Athena LLC

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ...

Delaware Electric Cooperative

Data Scientist

Greenwood, DE · On-site

$100K - $118K/yr

Analyze large amounts of information to discover trends and patterns. * Use predictive modeling to ... Develop a Data Warehouse utilizing multiple data sets across multiple platforms. * Assist the ...

Delaware Electric Cooperative

Data Scientist

Greenwood, DE · On-site

$100K - $118K/yr

Analyze large amounts of information to discover trends and patterns. * Use predictive modeling to ... Develop a Data Warehouse utilizing multiple data sets across multiple platforms. * Assist the ...

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All JobsData Analysis Assistant JobsData Analysis Assistant Jobs in Delaware

Data Analysis Assistant information

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How much do data analysis assistant jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data analysis assistant in Delaware is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analysis assistant. Human skills like interpreting complex data, making strategic decisions, and communicating insights remain essential. Data analysts and assistants who develop skills in tools like SQL, Python, or data visualization are better positioned to adapt to technological changes.

What are the top 3 skills for a data analyst?

A data analysis assistant should have strong analytical skills to interpret data accurately, proficiency in data manipulation tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Familiarity with data visualization software such as Tableau or Power BI is also valuable. These skills enable effective data-driven decision-making and reporting.

Is 40 too late for data science?

For a Data Analysis Assistant or similar data-related roles, starting a career at 40 is feasible as many employers value experience and analytical skills. Success often depends on acquiring relevant tools like SQL, Python, or Excel, and building a strong portfolio or certifications, regardless of age.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the key skills and qualifications needed to thrive as a Data Analysis Assistant, and why are they important?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A data analysis assistant supports data collection, cleaning, and organization to prepare datasets for analysis. They often use tools like Excel, SQL, or statistical software to identify trends and generate reports under the supervision of data analysts or scientists.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
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 Data Analysis Assistant jobs in Delaware? For Data Analysis Assistant jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Analysis Assistant jobs in Delaware look for? The top searched job categories for Data Analysis Assistant jobs in Delaware are:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Delaware as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $39,663 per year, or $19.1 per hour.

Data Science Intern

Athenago

Wilmington, DE

Part-time

Posted 13 days ago

Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities

  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications

  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications

  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits

  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Apply