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

... with SQL. • Demonstrated experience with SAS and either R or Python, including data cleaning ... Excel, Word, and PowerPoint. • Effective time management and program management skills. • ...

Retrieve, validate, and analyze data from multiple data sources, including but not limited to Snowflake , Google BigQuery , SQL Server , MS Fabric and other structured data sources as required ...

Analyze, document, and validate program operational needs, reporting requirements, and data ... SQL and hands-on experience querying an enterprise data warehouse. * Prior experience in a state ...

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements * Implement and maintain standard reporting tools for the site or sector * Assist ...

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements * Implement and maintain standard reporting tools for the site or sector * Assist ...

Proficiency in data analysis tools such as SQL, Python, or R, and experience with data visualization tools such as Tableau or Power BI. Experience with relevant programming languages and relational ...

Experienced user of Microsoft Office applications such as Excel, PowerPoint, and Project. Must be ... Knowledge of JDE, DCS, and MAPICS systems and SQL aplus. Additional Information Must be able to ...

Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R

Showing results 21-40

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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Data Analyst - Indianapolis, IN

STI

Indianapolis, IN • On-site

Full-time

Re-posted 8 days ago


Job description

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.