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Statistical Analysis Data Reconfiguration Jobs in Delaware

Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ... Strong foundation in statistics and machine learning concepts (regression, classification ...

Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ... Strong foundation in statistics and machine learning concepts (regression, classification ...

Purpose of the role To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to ...

Supervise a team, oversee work plans and assign tasks to Analysts regarding the development of data tables and statistical models, and perform detailed code reviews of SQL and data workflows authored ...

Management Analyst III

Wilmington, DE · On-site

$70K - $84K/yr

Reviews, performs statistical analysis and interpretation of collected data relating to policies, procedures, organization, managerial and operational practices; Defines and may make recommendations ...

Supervise a team, oversee work plans and assign tasks to Analysts regarding the development of data tables and statistical models, and perform detailed code reviews of SQL and data workflows authored ...

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Statistical Analysis Data Reconfiguration information

See Delaware salary details

$30K

$70.5K

$117.6K

How much do statistical analysis data reconfiguration jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical analysis data reconfiguration in Delaware is $70,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $81,100.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?

AspectStatistical Analysis Data ReconfigurationData Analyst
Primary FocusRearranging and transforming data sets for analysis readinessInterpreting data to generate reports and insights
Skills & CertificationsStatistical software, data manipulation, certifications like CAP or SASData visualization, SQL, Excel, often with a bachelor's degree in related fields
Work EnvironmentData processing teams, research labs, analytics departmentsBusiness units, marketing, finance, or operations teams

While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.

Can I make 6 figures as a data analyst?

Statistical Analysis Data Reconfiguration roles can offer six-figure salaries, especially with experience, advanced skills in programming languages like Python or R, and proficiency with data visualization tools. Salaries vary by industry, location, and level of expertise, but high-level data analysts with specialized skills can reach or exceed six figures.

Is 40 too late for data science?

The role of a Statistical Analysis Data Reconfiguration specialist typically requires strong analytical skills and experience with data tools. Age is generally not a barrier if you have relevant skills, certifications, and a solid understanding of data analysis, programming languages like Python or R, and statistical methods. Many professionals successfully transition into data science later in their careers by building their technical expertise and portfolio.

Is statistical analysis and data reconfiguration a real job?

Yes, statistical analysis and data reconfiguration are real job functions often performed by data analysts, statisticians, or data engineers. These roles involve analyzing data sets, restructuring data for better usability, and using tools like SQL, Python, or R to support decision-making processes.

How much does statistical analysis and data reconfiguration pay?

Salaries for roles involving statistical analysis and data reconfiguration typically range from $60,000 to $100,000 annually, depending on experience, education, and industry. Professionals often use tools like R, Python, or SQL, and certifications such as SAS or data analysis degrees can influence compensation.
What are popular job titles related to Statistical Analysis Data Reconfiguration jobs in Delaware? For Statistical Analysis Data Reconfiguration jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Statistical Analysis Data Reconfiguration jobs in Delaware look for? The top searched job categories for Statistical Analysis Data Reconfiguration jobs in Delaware are:
What cities in Delaware are hiring for Statistical Analysis Data Reconfiguration jobs? Cities in Delaware with the most Statistical Analysis Data Reconfiguration job openings:

Part-time

Posted 9 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.