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Weekday Data Analysis Excel Jobs in Florida (NOW HIRING)

... data audits and analysis • Identify and compile data sets using a variety of tools to help ... Excel) • Knowledge of data governance principles and practices • Bachelor's Degree in ...

Conduct exploratory data analysis, identify patterns, and generate actionable insights from ... Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project ...

Conduct exploratory data analysis, identify patterns, and generate actionable insights from ... Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project ...

Conduct exploratory data analysis, identify patterns, and generate actionable insights from ... Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project ...

Data Analyst

Orlando, FL · On-site

$120K/yr

Experience with statistical packages (Excel, PowerBI) and data analysis. Working knowledge of ... programming languages or scripting (e.g., XML, JavaScript, or ETL frameworks). Exceptional ...

Data analysis * Business operations * Data management * Financial services, healthcare, insurance ... Microsoft Excel PREFERRED SKILLS AND EXPERIENCES: * Insurance, claims, healthcare, or financial ...

Provide inputs for data science and business intelligence projects and perform analysis on large ... Excel) * Knowledge of data governance principles and practices * Bachelor''s Degree in Statistics ...

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Weekday Data Analysis Excel information

What is the difference between Weekday Data Analysis Excel vs Data Analyst?

AspectWeekday Data Analysis ExcelData Analyst
Required SkillsExcel, data visualization, basic statisticsExcel, SQL, data visualization, statistics, programming
Work EnvironmentOffice, remote, primarily using ExcelOffice, remote, using Excel, SQL, and analytics tools
Industry UsageBusiness, finance, marketingMultiple industries including finance, healthcare, tech
CertificationsExcel certifications, data analysis coursesExcel, data analysis, or related certifications

Weekday Data Analysis Excel roles focus on analyzing data primarily using Excel, suitable for entry-level or specialized tasks. Data Analysts typically require broader skills including SQL and advanced analytics tools, working across various industries. Both roles involve data interpretation but differ in technical complexity and scope.

What are some common challenges faced by professionals in a Weekday Data Analysis Excel role, and how can they be addressed?

Professionals in a Weekday Data Analysis Excel role often encounter challenges such as managing large datasets, ensuring data accuracy, and meeting tight deadlines for reports. Collaborating with team members to clarify data requirements and utilizing advanced Excel functions like pivot tables and formulas can help streamline workflows. Continuous learning and staying updated with Excel's latest features are also essential for efficiency. Regular communication with stakeholders helps align analysis with business goals and reduces the risk of misinterpretation.

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

To excel as a Weekday Data Analysis Excel specialist, you need strong analytical skills, attention to detail, and proficiency in Microsoft Excel, often supported by a background in data analytics or a related field. Familiarity with Excel functions, pivot tables, data visualization tools, and sometimes certifications like Microsoft Office Specialist (Excel) are typically required. Effective communication, problem-solving abilities, and time management help you interpret data accurately and present actionable insights to stakeholders. These skills enable efficient data handling, informed decision-making, and the ability to deliver timely results in a business environment.

What is a Weekday Data Analysis Excel job?

A Weekday Data Analysis Excel job typically involves analyzing data using Microsoft Excel during standard business days (Monday to Friday). Professionals in this role use Excel tools like formulas, pivot tables, and charts to interpret data, generate reports, and provide actionable insights. They may work with large datasets, clean and organize information, and present findings to help guide business decisions. This job often requires strong attention to detail, proficiency in Excel, and good communication skills.
What are the most commonly searched types of Data Analysis Excel jobs in Florida? The most popular types of Data Analysis Excel jobs in Florida are:
Data Analyst

Full-time

Posted 15 days ago


Job description

Job Title: Data Analyst
Location: Pensacola, FL
Type: Contract
Work Model: Hybrid - onsite and remote
Responsibilities
• Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Partner with senior staff to communicate findings and insight to stakeholders
• Collaborate with team members and participate in team projects and initiatives
• Provide data research and write data queries for smaller analytics projects
Requirements
• 2-5 years of experience in data analysis and reporting
• Basic understanding of business and operating environment
• Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
• Effective skill with analytical techniques required for data usage and data cleaning
• Skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel)
• Knowledge of data governance principles and practices
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
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Ref: #851-Rockville-S1