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Remote Sql Data Analyst Jobs in Delaware (NOW HIRING)

Data Analyst

Lewes, DE · On-site +1

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 ...

Use SQL, Snowflake, Power BI, and related tools to analyze data, validate governance controls, and support quality and metadata monitoring activities. * Collaborate with Data Architecture, Data ...

Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover ... SQL for data manipulation. * Strong foundation in statistics and machine learning concepts ...

... Data Science, or other quantitative or related field. * Proficiency in Python, SQL, and Excel ... Strong analytical, critical thinking, and problem-solving skills. * Strong attention to detail and ...

Hands-on experience with security data analysis, including large-scale log processing, anomaly detection, and behavioral analytics. * Proficiency in SQL (e.g., ClickHouse) for querying security ...

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Remote Sql Data Analyst information

What is a remote SQL data analyst?

A Remote SQL Data Analyst is a professional who works offsite to collect, process, and analyze data using SQL (Structured Query Language). They use SQL to query databases, generate reports, and provide insights that help organizations make data-driven decisions. This role often involves collaborating with other team members virtually, cleaning and organizing large datasets, and building dashboards or visualizations. Remote SQL Data Analysts need strong analytical skills, proficiency in SQL, and the ability to communicate complex findings clearly.

How do remote SQL data analysts typically collaborate with cross-functional teams despite working offsite?

Remote SQL Data Analysts often use communication and project management tools such as Slack, Microsoft Teams, or Jira to stay connected with colleagues in different departments. Regular virtual meetings, screen-sharing sessions, and collaborative documentation help facilitate data sharing and ensure alignment on project goals. Building strong relationships with stakeholders and maintaining clear, proactive communication are key to overcoming the challenges of working remotely while delivering accurate and timely insights.

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

To thrive as a Remote SQL Data Analyst, you need strong analytical skills, proficiency in SQL, and a solid background in data management or statistics, typically supported by a relevant degree. Expertise in database systems (such as MySQL, PostgreSQL, or SQL Server), data visualization tools (like Tableau or Power BI), and sometimes certifications like Microsoft Certified: Data Analyst Associate are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help analysts interpret data accurately and share insights with remote teams. These skills ensure data-driven decision-making, effective collaboration, and the ability to deliver actionable insights from large datasets in a virtual work environment.

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

The most popular types of Sql Data Analyst jobs in Delaware are:

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

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

What job categories do people searching Remote Sql Data Analyst jobs in Delaware look for?

The top searched job categories for Remote Sql Data Analyst jobs in Delaware are:

What cities in Delaware are hiring for Remote Sql Data Analyst jobs?

Cities in Delaware with the most Remote Sql Data Analyst job openings:

    Infographic showing various Remote Sql Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 78% Full Time, 13% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

    Data Analyst

    Winaxis LLC

    Lewes, DE • On-site, Remote

    Full-time

    Re-posted yesterday


    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.