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Weekend Data Analyst Sql Excel Jobs in Florida (NOW HIRING)

Mindlance

Data Analyst

Palm Beach, FL · On-site

SQL / Database / PostgreSQL / Queries / Agile / Documentation Key Responsibilities • Maintain ... Build and maintain Excel-based audit tools (pivots, lookups, Power Query as applicable) for ...

AllSTEM Connections

Data Analyst

Orlando, FL · On-site

$120K/yr

Develop complex SQL queries and utilize ETL frameworks to extract, transform, and load data ... Experience with statistical packages (Excel, PowerBI) and data analysis. Working knowledge of ...

Metrc, LLC

Data Analyst

Lakeland, FL · On-site

Four years or more experience with Data Analysis and Analytics · Strong SQL proficiency and ... Heavy Microsoft Excel experience (formulas, pivots, lookups), Visio a plus, proficiency with the ...

System One Holdings, LLC

Data Analyst

Pensacola, FL · On-site

... SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools • ... Excel) • Knowledge of data governance principles and practices • Bachelor's Degree in ...

eMed LLC

Data Analyst

Miami, FL · On-site

... SQL, etc.), programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) * Strong analytical ...

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Weekend Data Analyst Sql Excel information

Do weekend data analysts work on weekends?

Weekend data analysts typically work on weekends if their role requires coverage during those days or if they are on a flexible schedule. Many roles involve standard weekday hours, but some positions may require weekend work to meet project deadlines or support business operations. It depends on the employer and specific job responsibilities.

Can I get a job with SQL and Excel?

A Weekend Data Analyst role often requires proficiency in SQL and Excel, as these tools are essential for data manipulation, analysis, and reporting. Having strong skills in these areas can improve your chances of securing such a position, especially when combined with relevant experience and certifications. Employers value practical knowledge of database querying and spreadsheet management for data-driven decision-making.

What is the difference between Weekend Data Analyst Sql Excel vs Weekend Business Intelligence Analyst?

AspectWeekend Data Analyst Sql ExcelWeekend Business Intelligence Analyst
Required SkillsSQL, Excel, data analysis, reportingSQL, data visualization, BI tools, reporting
Work EnvironmentData-focused, project-based, flexible hoursData visualization, dashboard creation, strategic analysis
Industry UsageFinance, marketing, retailCorporate, tech, consulting

Weekend Data Analysts SQL Excel focus on data extraction, analysis, and reporting using SQL and Excel tools, often in flexible or part-time roles. Weekend Business Intelligence Analysts build dashboards and interpret data trends using BI tools, with a broader focus on strategic insights. Both roles require similar technical skills but differ in scope and application.

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Weekend Data Analyst Sql Excel jobs near you

Senior SQL Analyst

Health Business Solutions LLC

Cooper City, FL • On-site

$80K - $106K/yr

Full-time

Re-posted 24 days ago

Job description

At HBS the data analytics team strives to be transformative leaders that support our internal and external stakeholders in maximizing their potential and carrying value forward into the healthcare system and people’s everyday lives. This means understanding and valuing the impact of our work, upholding a commitment to excellence of ourselves and team, striving together, and bringing and finding joy in our work.

A successful candidate in this role will efficiently facilitate the flow of information to stakeholders and contribute to data curation and maintenance using SQL and business intelligence best practices. This includes building reports, ad hoc queries, analytics, contributing to the enterprise data warehouse and data marts, conducting stakeholder interviews, creating business requirements documents, QA testing, and collaborating with other data analysts and engineers.

Responsibilities:

  • Build and grow a deep understanding of the business needs, processes, and functions to effectively contribute to stakeholder conversations and work with a certain degree of autonomy.
  • Actively contribute to the development and implementation of data marts, enterprise data warehouse, reports, analytics, and other data solutions by writing SQL scripts for ETL, reports, error handling, and QA.
  • Complete ad hoc requests and analytics in a timely manner and accurately; correctly qualify requests through questioning and identify a reference point and/or test cases to validate. May be done using SQL, Excel, PowerBI, or other sources as appropriate.
  • Build reports and dashboards for ongoing use in Power BI. Gather user requirements and business case, create documentation and definitions, write SQL queries and DAX statements if needed, adhere to design standards, and publish well thought out and vetted dashboards that have good adoption and business value.
  • Review client and internal data for accuracy and completeness, raise data quality issues to the team, help manage, communicate, and resolve the issue log.
  • Clearly document data transformations and cleansing business rules.
  • Support new client or new product onboarding ETL testing and building.
  • Support internal system or process changing, working with stakeholders to maintain data integrity during change.
  • Comply with all security and privacy requirements.
  • Continuously research and stay current on data trends, technologies, and best practices, identifying opportunities for improvement.

Qualifications:

  • 5 years proven experience as a Data Analyst, Business Analyst, SQL Developer, or similar role.
  • Strong knowledge of business intelligence practices such as business requirements documentation, ETL, data normalization, star schema, and quality assurance.
  • Proficiency in SQL and PowerBI.
  • Healthcare revenue cycle or claims experience is strongly preferred.
  • Excellent analytical and problem-solving skills, and attention to detail.
  • Strong communication skills, both written and verbal.

Apply