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Data Analyst Sql Excel Jobs (NOW HIRING)

Winaxis LLC

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 ...

Virtusa

SQL Data Analyst

Manhattan, NY · On-site

Virtusa is seeking a SQL Data Analyst to understand business requirements and design, develop, and maintain Oracle database applications. The role involves proficiency in PL/SQL development, SQL ...

Changeis

Data Analyst

Experience with tools like SQL, Excel, Power BI, or Tableau for querying, analyzing, and visualizing data. * Statistical amp; Analytical Skills: Familiarity with statistical methods and data modeling ...

tignovate

Data Analyst

Manhattan, NY

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

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How much do data analyst sql excel jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data analyst sql excel in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analyst Sql Excel position, and why are they important?

To thrive as a Data Analyst Sql Excel, you need strong analytical skills, proficiency in SQL and Excel, and often a degree in statistics, mathematics, computer science, or a related field. Familiarity with data visualization tools (such as Power BI or Tableau), experience with databases, and certifications like Microsoft Excel Specialist or SQL certifications are highly valued. Attention to detail, problem-solving abilities, and effective communication skills enable analysts to interpret complex data and share insights with diverse teams. These skills are essential for accurately transforming data into actionable business recommendations and supporting data-driven decision-making.

What are the primary challenges a Data Analyst using SQL and Excel may encounter in their daily work?

Data Analysts who work extensively with SQL and Excel often face challenges such as dealing with large datasets that require optimal query writing for efficiency and managing data quality or inconsistencies. Translating raw data into easily understood reports or visualizations for stakeholders can require both technical expertise and creativity. In fast-paced environments, meeting tight deadlines while ensuring data accuracy can also be demanding. However, these challenges foster strong analytical thinking and provide valuable experience that can help accelerate career development within analytics or business intelligence teams.

What is a Data Analyst Sql Excel job?

A Data Analyst specializing in SQL and Excel is responsible for collecting, analyzing, and interpreting data to support business decisions. They use SQL to query and manipulate databases and Excel to organize, visualize, and analyze data sets. Typical tasks include creating reports, identifying trends, and providing insights to stakeholders. Strong problem-solving skills and attention to detail are essential for this role.

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What cities are hiring for Data Analyst Sql Excel jobs? Cities with the most Data Analyst Sql Excel job openings:
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Data Analyst SQL Excel jobs near you
Infographic showing various Data Analyst Sql Excel job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Winaxis LLC

Lewes, DE • On-site, Remote

Full-time

Posted 23 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.