INTL - Data Analyst

Insight Global; Hudson (OH); On-site; USD 65,000 - 90,000; Full time

Job summary

Insight Global is seeking a Data Analyst to support one of our largest clients. You will work across Excel, Salesforce, Snowflake, SQL, and Tableau to provide actionable insights, develop reporting solutions, troubleshoot data discrepancies, and drive informed business decisions.

The role emphasizes data cleaning, validation, and building dashboards to enable cross-functional decision-making. Ohio-based opportunity with opportunities to influence sales, operations, and finance teams.

Qualifications

• 2+ years of experience in a Data Analyst role.
• Marketing analytics background.
• Strong SQL experience.
• Experience working with Snowflake.
• Experience developing dashboards and visualizations in Tableau.
• Strong proficiency in Excel – data cleaning, data validation, quality checks, reporting.

Responsibilities

• Perform data cleaning, data validation, quality checks, reporting, and data analysis tasks with Microsoft Excel
• Write SQL queries in Snowflake to analyze data, validate results, and support business reporting needs
• Investigate missing records, reporting discrepancies, and data quality issues
• Create ad hoc analyses and presentations to support business decisions
• Build and maintain data visualizations that provide actionable insights within Tableau
• Perform data validation and quality checks to ensure reporting accuracy
• Collaborate with cross-functional teams to improve reporting processes and data accessibility

Skills

Data analysis

SQL

Excel

Marketing analytics

Salesforce Sales Cloud

Cross-functional collaboration

Tools

Snowflake

Tableau

Salesforce Sales Cloud

Job description

Day to day:

Insight Global is seeking a Data Analyst to support one of our largest clients. This individual will work across Excel, Salesforce, Snowflake, SQL, and Tableau to provide actionable insights, develop reporting solutions, troubleshoot data discrepancies, and drive informed business decisions.

Responsibilities:

• Performing data cleaning, data validation, quality checks, reporting, and data analysis tasks with Microsoft Excel
• Write SQL queries in Snowflake to analyze data, validate results, and support business reporting needs
• Investigate missing records, reporting discrepancies, and data quality issues
• Create ad hoc analyses and presentations to support business decisions
• Build and maintain data visualizations that provide actionable insights within Tableau
• Perform data validation and quality checks to ensure reporting accuracy
• Collaborate with cross-functional teams to improve reporting processes and data accessibility

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 2+ years of experience in a Data Analyst role
• Marketing Analytics background
• Strong SQL experience
• Experience working with Snowflake
• Experience developing dashboards and visualizations in Tableau
• Strong proficiency in Excel – data cleaning, data validation, quality checks, reporting, etc. Experience working within Salesforce Sales Cloud environments.
• Experience supporting sales, operations, finance, or customer success organizations.
• Exposure to ETL processes and data integration workflows.