Data Analyst (Remote Position) - Augusta, GA

The SOFEI Group; Augusta (GA); On-site; USD 65,000 - 90,000; Full time

Job summary

Robert Half is seeking a detail-oriented Data Analyst to join a SaaS organization. You will turn complex business and customer data into clear insights that support product, sales, marketing, and customer success decisions.

You will help strengthen reporting accuracy, improve visibility into performance trends, and communicate findings in a way that guides action across both technical and non-technical teams.

Qualifications

• Bachelor’s degree in data analytics, statistics, mathematics, computer science, economics, business, or a related discipline.
• 2 to 5 years of experience in a data analyst, business intelligence, or analytics-focused position.
• Strong proficiency in SQL for querying, joining, and analyzing relational data sets.
• Experience creating visual reports and dashboards with Tableau, Power BI, or Looker.
• Advanced working knowledge of Microsoft Excel and Google Sheets for analysis and reporting tasks.
• Understanding of statistical methods, hypothesis testing, and core data modeling concepts.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Clear written and verbal communication skills, including the ability to explain technical insights to non-technical audiences; SaaS experience is preferred; Python or R is a plus.

Responsibilities

• Gather, organize, and assess data from varied sources for analysis and reporting.
• Build and refine dashboards, recurring reports, and performance metrics to track business results.
• Examine trends in customer activity, product engagement, retention, and churn to uncover patterns.
• Collaborate with product stakeholders to measure feature usage and evaluate business impact of updates.
• Provide analytical support to sales and marketing by reviewing pipeline activity, conversion performance, acquisition costs, and campaign outcomes.
• Partner with customer success teams to identify insights to improve client satisfaction and retention.
• Conduct targeted analyses addressing strategic questions and translate findings into practical recommendations.
• Plan and track experiments and A/B tests to inform product and marketing decisions with data-driven evidence.
• Maintain clear documentation for key metrics, reporting standards, data definitions, and analytics procedures.
• Recommend enhancements to data quality, reporting automation, and analytics processes with clear visuals and summaries.
• Communicate insights effectively to both technical and non-technical audiences.

Skills

SQL proficiency

Analytical thinking

Attention to detail

Written and verbal communication

Problem solving

Education

Bachelor's degree in data analytics, statistics, mathematics, computer science, economics, business, or related discipline

Tools

Tableau

Power BI

Looker

Excel

Google Sheets

Python

R

Job description

Robert Half is hiring! We are looking for a detail-oriented Data Analyst to join a SaaS organization. In this role, you will turn complex business and customer data into clear insights that support product, sales, marketing, and customer success decisions. You will help strengthen reporting accuracy, improve visibility into performance trends, and communicate findings in a way that guides action across both technical and non-technical teamsResponsibilities:

• Gather, organize, and assess data from varied sources to maintain reliable, consistent information for analysis and reporting.
• Build and refine dashboards, recurring reports, and performance metrics that help leaders track business results.
• Examine trends in customer activity, product engagement, retention, and churn to uncover meaningful patterns and opportunities.
• Collaborate with product stakeholders to measure feature usage and evaluate the business impact of product updates and releases.
• Provide analytical support to sales and marketing teams by reviewing pipeline activity, conversion performance, acquisition costs, and campaign outcomes.
• Partner with customer success teams to identify insights that can improve client satisfaction, loyalty, and long-term retention.
• Conduct targeted analyses that address strategic questions and translate findings into practical recommendations.
• Plan and track experiments and A/B tests to inform product and marketing decisions with data-driven evidence.
• Maintain clear documentation for key metrics, reporting standards, data definitions, and analytics procedures.
• Recommend and support enhancements to data quality, reporting automation, and analytics processes while presenting insights through effective visuals and summaries.
• Bachelor’s degree in data analytics, statistics, mathematics, computer science, economics, business, or a related discipline.
• 2 to 5 years of experience in a data analyst, business intelligence, or similar analytics-focused position.
• Strong proficiency in SQL for querying, joining, and analyzing relational data sets.
• Experience creating visual reports and dashboards with tools such as Tableau, Power BI, or Looker.
• Advanced working knowledge of Microsoft Excel and Google Sheets for analysis and reporting tasks.
• Understanding of statistical methods, hypothesis testing, and core data modeling concepts.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Clear written and verbal communication skills, including the ability to explain technical insights to non-technical audiences; experience in a SaaS environment is preferred, and familiarity with Python or R is a plus.

Robert Half is hiring! We are looking for a detail-oriented Data Analyst to join a SaaS organization. In this role, you will turn complex business and customer data into clear insights that support product, sales, marketing, and customer success decisions. You will help strengthen reporting accuracy, improve visibility into performance trends, and communicate findings in a way that guides action across both technical and non-technical teamsResponsibilities:

• Gather, organize, and assess data from varied sources to maintain reliable, consistent information for analysis and reporting.
• Build and refine dashboards, recurring reports, and performance metrics that help leaders track business results.
• Examine trends in customer activity, product engagement, retention, and churn to uncover meaningful patterns and opportunities.
• Collaborate with product stakeholders to measure feature usage and evaluate the business impact of product updates and releases.
• Provide analytical support to sales and marketing teams by reviewing pipeline activity, conversion performance, acquisition costs, and campaign outcomes.
• Partner with customer success teams to identify insights that can improve client satisfaction, loyalty, and long-term retention.
• Conduct targeted analyses that address strategic questions and translate findings into practical recommendations.
• Plan and track experiments and A/B tests to inform product and marketing decisions with data-driven evidence.
• Maintain clear documentation for key metrics, reporting standards, data definitions, and analytics procedures.
• Recommend and support enhancements to data quality, reporting automation, and analytics processes while presenting insights through effective visuals and summaries.
• Bachelor’s degree in data analytics, statistics, mathematics, computer science, economics, business, or a related discipline.
• 2 to 5 years of experience in a data analyst, business intelligence, or similar analytics-focused position.
• Strong proficiency in SQL for querying, joining, and analyzing relational data sets.
• Experience creating visual reports and dashboards with tools such as Tableau, Power BI, or Looker.
• Advanced working knowledge of Microsoft Excel and Google Sheets for analysis and reporting tasks.
• Understanding of statistical methods, hypothesis testing, and core data modeling concepts.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Clear written and verbal communication skills, including the ability to explain technical insights to non-technical audiences; experience in a SaaS environment is preferred, and familiarity with Python or R is a plus.