Industry: Enterprise SaaS, AI-Enabled Technology, Cloud Platforms, Data Intelligence, Business Analytics, Revenue Operations, and Digital Transformation
Location: USA Remote
Compensation Package: $198K – $280K
About the Organization
We are a large, enterprise-scale SaaS, AI-enabled technology, cloud platform, data intelligence, business analytics, revenue operations, and digital transformation organization supporting complex business functions, enterprise customers, digital products, customer lifecycle programs, operational workflows, and data-driven decision-making across the United States. The company operates in a fast-moving technology environment where data quality, reporting accuracy, business insight, customer visibility, operational analytics, and performance measurement directly influence revenue growth, product strategy, customer success, operational efficiency, and executive decision-making.
This is not a traditional data analyst role focused only on pulling reports, updating spreadsheets, or responding to one-off data requests. The Data Analyst will serve as a key analytical partner responsible for turning business data into clear insights, practical recommendations, performance visibility, and decision-support materials for cross-functional teams. This role will connect data analysis, dashboard development, business reporting, customer insights, operational metrics, data validation, trend analysis, and stakeholder storytelling into one reliable analytics support function.
The company is continuing to invest in AI-enabled analytics, cloud data platforms, business intelligence dashboards, revenue reporting, customer behavior analysis, product usage insights, operational scorecards, data governance, automated reporting, performance forecasting, and stronger data accessibility across business teams. As the organization grows, leadership is seeking a Data Analyst who can bring analytical discipline, technical curiosity, business awareness, data storytelling ability, and strong cross-functional communication to a high-impact role.
The Data Analyst will support analytics across business operations, revenue performance, customer success, product usage, marketing performance, finance reporting, operational efficiency, and executive dashboards. This role will work closely with Data Analytics, Finance, Revenue Operations, Sales, Customer Success, Product, Marketing, Operations, Engineering, IT, and business leaders to ensure teams have accurate, timely, and useful information for planning, execution, and performance improvement.
This role requires a professional who understands that strong analysis is not only about numbers, but also about context, accuracy, and business meaning. The ideal candidate will know how to clean and validate data, build dashboards, interpret trends, identify performance gaps, explain findings clearly, document assumptions, improve reporting logic, and translate complex datasets into practical recommendations for decision-makers.
The selected candidate will help improve how the organization measures performance and uses data across the business. This includes strengthening dashboards, improving recurring reports, identifying opportunities for automation, improving data definitions, supporting leadership reviews, analyzing customer and operational trends, and helping teams move from reactive reporting to proactive insight.
This is a strong opportunity for a data professional who wants to work inside a large technology-driven organization, partner with business leaders, support enterprise analytics, and help teams make better decisions through accurate, clear, and meaningful data.
Essential Duties and Responsibilities
• Analyze business, customer, product, revenue, marketing, finance, and operational data to identify trends, performance patterns, risks, opportunities, and improvement areas.
• Build, maintain, and improve dashboards, reports, scorecards, and analytical summaries that provide visibility into key business metrics and operating performance.
• Partner with cross-functional stakeholders to understand reporting needs, define metrics, clarify business questions, gather requirements, and deliver practical analytical outputs.
• Write and optimize SQL queries, data extracts, calculations, and reporting logic to support recurring reports, ad hoc analysis, dashboards, and leadership decision-making.
• Validate data accuracy across source systems, reports, dashboards, spreadsheets, and business intelligence tools to ensure reliable reporting and consistent definitions.
• Support revenue and customer analytics, including pipeline trends, conversion rates, retention signals, account activity, customer health, expansion opportunities, and churn indicators.
• Support product and usage analytics by analyzing feature adoption, engagement trends, user behavior, workflow performance, product utilization, and customer value signals.
• Support operational analytics by tracking productivity, service quality, process cycle times, workload trends, backlog, issue volume, support metrics, and process improvement opportunities.
• Develop executive-ready analytical materials, including performance summaries, trend narratives, variance explanations, insights, recommendations, and visual reporting.
• Partner with Data Engineering and IT teams to improve data quality, source system mapping, data pipelines, field definitions, reporting tables, and dashboard reliability.
• Create and maintain documentation for metric definitions, dashboard logic, report ownership, data sources, assumptions, refresh schedules, and analytical methodologies.
• Identify opportunities to automate manual reporting, reduce spreadsheet dependency, improve dashboard usability, and increase self-service analytics adoption.
• Support forecasting, planning, and performance review cycles by preparing analysis, explaining variances, identifying drivers, and highlighting key business implications.
• Communicate findings clearly to technical and non-technical audiences while ensuring insights are accurate, relevant, and tied to business decisions.
Job Qualifications and Requirements
• Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Economics, Finance, Computer Science, Information Systems, Mathematics, Engineering, or a related field required.
• Master’s degree or advanced education in analytics, data science, business intelligence, statistics, finance, or information systems preferred.
• 4+ years of experience in data analysis, business intelligence, reporting, revenue analytics, product analytics, operations analytics, finance analytics, or business performance analysis.
• Experience within enterprise SaaS, AI-enabled technology, cloud platforms, fintech, cybersecurity, healthcare technology, digital products, data platforms, or large distributed enterprise environments strongly preferred.
• Strong SQL skills with the ability to query, join, clean, validate, aggregate, and analyze data from multiple sources.
• Experience building dashboards and reports using tools such as Tableau, Power BI, Looker, Mode, Sigma, Domo, ThoughtSpot, or similar business intelligence platforms.
• Familiarity with data platforms and systems such as Snowflake, Databricks, BigQuery, Redshift, AWS, Azure, Google Cloud, Salesforce, HubSpot, Marketo, NetSuite, Workday, Jira, Zendesk, or similar systems preferred.
• Strong spreadsheet skills using Excel or Google Sheets, including formulas, pivot tables, data validation, lookups, charts, and structured analysis.
• Experience analyzing business performance, customer behavior, revenue trends, operational metrics, product usage, marketing results, or financial data.
• Ability to create clear visualizations, concise summaries, structured insights, and business-facing recommendations.
• Strong understanding of data quality, metric definitions, source system limitations, reporting governance, and documentation best practices.
• Experience working with Finance, Sales, Customer Success, Product, Marketing, Operations, Data Engineering, IT, and business leadership teams.
• Excellent communication, analytical thinking, problem-solving, attention to detail, stakeholder management, and time management skills.
Personal Capabilities and Qualifications
• Analytical and detail-oriented, with the ability to identify patterns, test assumptions, validate data, and explain what the numbers mean in a business context.
• Business-minded and practical, with the ability to connect data findings to revenue performance, customer outcomes, product usage, operational efficiency, and leadership priorities.
• Strong data storyteller who can translate complex analysis into clear insights, simple visuals, and actionable recommendations.
• Curious and investigative, with the ability to ask strong questions, explore root causes, challenge inconsistent data, and uncover meaningful trends.
• Collaborative and able to work effectively with Finance, Sales, Customer Success, Product, Marketing, Operations, Data Engineering, IT, and Executive Leadership.
• Technically capable with strong comfort working across SQL, dashboards, spreadsheets, cloud data platforms, CRM systems, and business intelligence tools.
• Structured and organized, with the ability to manage multiple reporting requests, deadlines, dashboard updates, data issues, and stakeholder priorities.
• Quality-focused with strong attention to accuracy, consistency, documentation, and data integrity.
• Comfortable communicating with both technical and non-technical audiences, including analysts, managers, directors, executives, and operational teams.
• High integrity and discretion when handling customer data, revenue information, financial data, employee-related reports, product metrics, and confidential business performance materials.
Strategic Support
The Data Analyst will provide strategic support by helping the organization improve how data is collected, analyzed, visualized, explained, and used for decision-making.
This role will help business teams make better decisions about customer behavior, revenue performance, product adoption, operational efficiency, marketing results, financial trends, workforce activity, and business priorities. The Data Analyst will ensure reporting is not managed as a basic data-pulling function, but as a reliable analytical capability that improves visibility, accountability, and business performance.
Key areas of strategic support may include:
• Business reporting and performance dashboard development.
• Revenue, customer, product, and operational analytics.
• Metric definition, reporting logic, and dashboard documentation.
• Executive-ready analysis and decision-support materials.
• Data quality validation and reporting accuracy improvement.
• Customer lifecycle and retention insight support.
• Product usage, adoption, and engagement analysis.
• Sales pipeline, conversion, and revenue trend reporting.
• Marketing performance and campaign analysis.
• Operational efficiency and process improvement analytics.
• Forecasting, planning, and variance analysis support.
• Reporting automation and self-service analytics improvement.
• Cross-functional stakeholder support and analytical consultation.
• Data governance partnership and business intelligence maturity.
The Data Analyst will help ensure the company has clear, trusted, and actionable insights that support better decisions across the enterprise.
Working Conditions
• Location: USA Remote.
• Primarily remote analytical role with regular stakeholder meetings, dashboard reviews, reporting updates, performance discussions, data validation work, and cross-functional collaboration.
• Flexibility required during month-end reporting, leadership review cycles, planning periods, urgent analysis requests, dashboard launches, data quality issues, or high-priority business decisions.
• Occasional travel may be required for team offsites, analytics workshops, leadership planning sessions, company gatherings, or strategic business reviews.
• Regular collaboration with Data Analytics, Finance, Revenue Operations, Sales, Customer Success, Product, Marketing, Operations, Engineering, IT, and business leaders.
• Fast-paced enterprise technology environment with high visibility around reporting accuracy, data quality, dashboard reliability, performance insights, and decision support.
• Role requires handling confidential customer information, revenue data, product metrics, financial reports, business performance data, employee-related data where applicable, and executive reporting with discretion.
Job Function
• Data Analysis
• Business Intelligence
• Reporting and Dashboards
• SQL Analysis
• Revenue Analytics
• Customer Analytics
• Product Analytics
• Operational Analytics
• Data Quality Validation
• Performance Reporting
• Business Decision Support
• Dashboard Documentation
• Data Visualization
• Cross-Functional Analytics
• Executive Reporting Support
Compensation & Benefits
Compensation Package: $198K – $280K
The total compensation package may include base salary, performance bonus, analytics performance incentives, business impact incentives, long-term incentives, equity participation where applicable, and additional benefits depending on experience, qualifications, and final role alignment.
Benefits may include:
• Comprehensive medical, dental, and vision coverage.
• Performance bonus eligibility.
• Analytics performance and business impact incentive opportunities.
• Long-term incentive opportunities.
• Equity or ownership-aligned compensation where applicable.
• Retirement savings plan with company contribution.
• Paid time off and company holidays.
• USA remote work flexibility.
• Visibility across analytics, finance, revenue, product, customer success, and operations teams.
• Professional development support for SQL, business intelligence, cloud data platforms, AI-enabled analytics, data visualization, analytics engineering, and business strategy training.
• Wellness, employee assistance, and work-life support programs.
• Access to modern business intelligence, cloud data, CRM, finance, product analytics, collaboration, automation, and reporting platforms.
Why Join Us
This is an opportunity to join a large technology-driven organization where data analysis directly influences revenue decisions, product direction, customer strategy, operational improvement, and executive visibility.
The Data Analyst will have the opportunity to build meaningful dashboards, improve reporting quality, support cross-functional decision-making, analyze important business trends, and help teams use data with greater confidence.
You will work in an environment that values accuracy, curiosity, practical insight, clear communication, data-driven decisions, and measurable business impact. The company is investing in AI-enabled analytics, cloud data platforms, business intelligence tools, data governance, reporting automation, and self-service analytics.
For a data professional who enjoys solving business questions, building reliable reporting, finding useful insights, and turning data into decisions, this role offers the visibility, learning opportunity, and platform to make a meaningful impact.