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

$63K - $121K/yr

Data Analysis & Modeling: Write and optimize complex SQL queries in BigQuery to extract, clean, and model data for reporting. * Visualization: Design, build, and maintain high-performance automated ...

Data Analysis Tutor

Bloomington, IN · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Data Analysis Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Data Analysis Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Data Analysis Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Showing results 41-60

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.

What are the most commonly searched types of Data Analyst Sql Excel jobs in Indiana? The most popular types of Data Analyst Sql Excel jobs in Indiana are:
What are popular job titles related to Weekend Data Analyst Sql Excel jobs in Indiana? For Weekend Data Analyst Sql Excel jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst Sql Excel jobs in Indiana look for? The top searched job categories for Weekend Data Analyst Sql Excel jobs in Indiana are:
What cities in Indiana are hiring for Weekend Data Analyst Sql Excel jobs? Cities in Indiana with the most Weekend Data Analyst Sql Excel job openings:

$63K - $121K/yr

Full-time

Re-posted 2 hours ago


Job description

Job Description Summary

We are looking for a data-driven Analyst II, Analytics to join our team. In this role, you will bridge the gap between raw data and business strategy by developing automated dashboards, performing deep-dive analyses, and communicating actionable insights to stakeholders. This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a passion for storytelling through data.

How will you make an impact & Requirements

Role Overview: The Analyst II, Analytics will support our data initiatives by ensuring data integrity and delivering high-impact visualizations. You will work within the Google Cloud Platform ecosystem to transform complex datasets into clear, executive-level insights.

Key Responsibilities:

  • Data Analysis & Modeling: Write and optimize complex SQL queries in BigQuery to extract, clean, and model data for reporting.

  • Visualization: Design, build, and maintain high-performance automated dashboards in Tableau.

  • Pipeline Monitoring: Interface with Airflow to monitor data workflows and ensure reporting accuracy and freshness.

  • Stakeholder Collaboration: Partner with business leaders to define KPIs and present findings that drive departmental strategy.

  • Continuous Improvement: Assist in the potential migration or implementation of Looker for self-service analytics.

Required Qualifications:

  • 2-4 years of experience in data analytics or business intelligence.

  • Advanced proficiency in SQL (ETL logic, window functions, and performance tuning).

  • Hands-on experience building production-level dashboards in Tableau.

  • Experience working within GCP (BigQuery) or a similar cloud data warehouse.

Preferred Qualifications:

  • Familiarity with Looker (LookML) or other modern BI modeling layers.

  • Basic understanding of Airflow for scheduling and monitoring data pipelines.

  • Experience with Python for data manipulation or automation.

Compensation Range:

$63,982.00

to

$121,228.00

The anticipated base salary range represents the Company's good-faith estimate of the compensation it reasonably expects to pay for this position at the time of posting. Actual compensation will be determined based on factors including experience, skills, qualifications, geographic location, internal equity, and business needs.