We are a dynamic and rapidly expanding enterprise technology organization operating in a data-driven environment where accurate reporting, clear insights, strong analytics, clean data, and timely business visibility directly influence decision-making and long-term performance. Our organization supports enterprise customers, internal business teams, product groups, finance leaders, customer success teams, revenue operations, marketing teams, executive stakeholders, and operational functions that rely on trusted data to understand performance and improve outcomes.
As companies grow, data analysis becomes one of the most important links between business activity and practical decision-making. Leaders need more than dashboards and spreadsheets. They need analysts who can understand the business question, validate the data, identify trends, explain what is changing, and provide clear recommendations that help teams act with confidence. The Data Analyst role is central to helping the organization turn raw information into useful insight.
Our company is investing heavily in AI-enabled analytics, business intelligence platforms, cloud data systems, automated reporting, customer intelligence, operational dashboards, data quality improvement, self-service analytics, revenue visibility, product usage analytics, and scalable digital transformation. We are seeking a highly capable Data Analyst who can support reporting, analyze trends, build dashboards, validate data, and help business teams make smarter decisions.
This is not a traditional data analyst role focused only on pulling reports or updating recurring spreadsheets. The Data Analyst will serve as a trusted analytical partner responsible for understanding business needs, building meaningful reports, identifying patterns, improving metric clarity, supporting performance reviews, and translating data into practical business insight.
The selected candidate will work closely with Business Intelligence, Data Engineering, Finance, Product, Customer Success, Revenue Operations, Marketing, Sales, Operations, IT, and leadership teams to ensure reporting is accurate, consistent, well-documented, and aligned with business priorities.
This is a strong opportunity for an analytical professional who wants to work with modern data tools, support enterprise reporting, improve decision quality, and contribute to a remote-first organization where data is treated as a core business asset.
As Data Analyst, you will collect, analyze, validate, visualize, and communicate data that supports business performance, operational improvement, customer insight, product decisions, and executive reporting.
You will be responsible for building dashboards, preparing reports, analyzing trends, investigating data questions, validating metrics, and helping teams understand what the data means.
You will serve as a trusted analytical partner while maintaining accountability for reporting accuracy, data clarity, documentation quality, timely delivery, and practical business recommendations.
The ideal candidate combines strong analytical thinking, SQL skills, dashboard-building ability, business curiosity, communication strength, and attention to detail to support measurable business outcomes.
Analyze business, customer, product, operational, financial, marketing, and revenue data to identify trends, performance drivers, risks, and improvement opportunities.
Build and maintain dashboards, recurring reports, scorecards, executive summaries, KPI trackers, and self-service analytics resources.
Use SQL, spreadsheets, BI platforms, and analytics tools to extract, clean, validate, organize, and interpret data from multiple business systems.
Partner with stakeholders to understand reporting needs, clarify business questions, define metrics, and translate requirements into useful analytical outputs.
Prepare clear analysis that explains what happened, why it happened, what it means, and what actions teams should consider.
Validate data accuracy by reviewing source systems, checking definitions, identifying inconsistencies, reconciling results, and documenting assumptions.
Support business intelligence initiatives by improving dashboard usability, metric consistency, reporting automation, and data access for business users.
Partner with Data Engineering teams to identify data quality issues, source system gaps, pipeline concerns, and dataset improvement needs.
Partner with Finance and Revenue Operations to support reporting on pipeline, revenue trends, customer performance, forecasting inputs, budget variance, and operational metrics.
Partner with Product and Customer Success teams to analyze product usage, customer behavior, adoption trends, retention signals, support themes, and customer health indicators.
Create data visualizations that communicate trends, comparisons, performance changes, and insights clearly for technical and non-technical audiences.
Support ad hoc analysis requests, leadership reviews, business planning cycles, quarterly reporting, operational meetings, and strategic initiatives.
Maintain documentation for metric definitions, data sources, dashboard logic, report ownership, refresh schedules, and known limitations.
Identify opportunities to automate manual reporting, reduce data errors, simplify recurring analysis, and improve reporting efficiency.
4+ years of experience in data analysis, business intelligence, reporting analytics, business operations analytics, product analytics, financial analytics, marketing analytics, or customer analytics.
Experience working within enterprise SaaS, AI-enabled technology, cloud platforms, fintech, healthcare technology, ecommerce, professional services, customer experience technology, or data-driven business environments preferred.
Strong SQL skills with experience writing queries, joins, aggregations, filters, case statements, window functions, and data validation logic.
Strong spreadsheet skills using Excel or Google Sheets, including formulas, pivot tables, lookups, data cleaning, conditional logic, charts, and structured reporting.
Experience with BI and visualization tools such as Tableau, Power BI, Looker, Mode, Sigma, Qlik, ThoughtSpot, Metabase, or similar platforms.
Ability to analyze trends, investigate discrepancies, validate results, explain variance, and prepare business-ready recommendations.
Experience working with CRM, ERP, product analytics, customer success, finance, marketing, support, or operational systems such as Salesforce, HubSpot, NetSuite, Zendesk, Gainsight, Google Analytics, Mixpanel, Amplitude, Snowflake, BigQuery, Redshift, or similar platforms preferred.
Strong understanding of KPIs, dashboard design, reporting automation, metric definitions, data quality, data storytelling, and stakeholder communication.
Experience supporting business reviews, executive reporting, operational scorecards, customer analysis, product usage reporting, or revenue analysis preferred.
Ability to work with Business Intelligence, Data Engineering, Finance, Product, Customer Success, Revenue Operations, Marketing, Sales, Operations, IT, and leadership teams.
Strong written and verbal communication skills with the ability to explain data clearly to non-technical stakeholders.
Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Finance, Information Systems, Computer Science, or a related field preferred.
Data analytics certification, BI certification, SQL certification, Google Data Analytics certification, Tableau certification, Power BI certification, or equivalent practical experience preferred.
Competitive compensation package.
Comprehensive medical, dental, and vision healthcare coverage.
Flexible remote-first work environment.
Performance bonus eligibility.
Analytics quality and business insight incentive opportunities.
Long-term incentive opportunities where applicable.
Retirement savings plan with company contribution.
Professional development and continuing education reimbursement.
Data analytics, business intelligence, SQL, visualization, AI-enabled analytics, reporting automation, and data storytelling training resources.
Wellness and mental health support programs.
Paid time off and company holidays.
Opportunity to support enterprise reporting, customer analytics, product insight, operational performance, and business intelligence transformation initiatives.
Access to modern BI platforms, cloud data systems, analytics tools, collaboration platforms, reporting systems, and AI-enabled productivity resources.
Analytical professional with the ability to turn complex data into clear, practical business insight.
Detail-oriented and accurate, with strong ownership of reporting quality, data validation, documentation, and deadlines.
Business-minded and curious, with the ability to understand stakeholder needs and connect analysis to decisions that matter.
Strong communicator who can explain trends, risks, assumptions, and recommendations clearly to technical and non-technical audiences.
Organized and dependable, with the ability to manage recurring reports, ad hoc requests, dashboard updates, documentation, and stakeholder expectations.
Problem-solver with the ability to investigate data issues, identify root causes, and recommend practical improvements.
Technology-comfortable and able to work confidently with SQL, BI tools, spreadsheets, cloud data platforms, and business systems.
Collaborative and able to work effectively with analytics teams, data engineers, finance partners, product managers, customer success teams, sales teams, and leaders.
Improvement-minded, with the ability to reduce manual reporting, improve data clarity, strengthen dashboards, and support better self-service analytics.
High integrity and discretion when handling customer data, financial information, product usage data, employee records, business metrics, and confidential internal reporting.
Support leadership with accurate reports, clear insights, KPI visibility, trend analysis, and decision-ready recommendations.
Help improve business performance by identifying drivers of growth, retention, efficiency, customer satisfaction, operational quality, and revenue performance.
Support business intelligence maturity by improving metric definitions, dashboard consistency, reporting documentation, and data quality feedback loops.
Align analytics work with business priorities, customer needs, product strategy, revenue goals, financial planning, and operational improvement initiatives.
Strengthen reporting trust by validating data, documenting logic, explaining assumptions, and identifying inconsistencies before decisions are made.
Support customer success and revenue teams with customer health reporting, churn indicators, expansion signals, pipeline visibility, and account performance insights.
Support product teams with adoption trends, feature usage analysis, customer behavior patterns, release impact measurement, and product performance reporting.
Partner with Data Engineering teams to improve dataset quality, reporting tables, data pipelines, source system visibility, and analytics readiness.
Partner with Finance and Operations teams to improve cost visibility, productivity analysis, budget variance explanations, and business planning support.
Help turn data analysis into a strategic capability that improves decisions, strengthens execution, and supports long-term enterprise growth.
Remote-first data analyst role.
Periodic travel may be required for analytics workshops, business planning meetings, data strategy sessions, company gatherings, training sessions, or leadership reviews.
High-visibility analytical role supporting business intelligence, operational reporting, customer analytics, product insight, and executive decision-making.
Fast-paced environment focused on data accuracy, reporting quality, responsiveness, business value, and continuous improvement.
Regular collaboration with Business Intelligence, Data Engineering, Finance, Product, Customer Success, Revenue Operations, Marketing, Sales, Operations, IT, and leadership teams.
Opportunity to influence reporting quality, metric consistency, dashboard maturity, business visibility, and decision-making discipline.
Requires flexibility during reporting deadlines, business reviews, data quality issues, product launches, planning cycles, urgent analysis requests, and executive reporting needs.
Role requires handling confidential customer data, financial information, product usage information, business performance metrics, employee data, and internal strategy materials with discretion.
Data Analysis.
Business Intelligence.
Reporting Analytics.
Dashboard Development.
KPI Reporting.
SQL Analysis.
Data Visualization.
Customer Analytics.
Product Analytics.
Revenue Analytics.
Operational Reporting.
Data Quality Review.
Business Performance Analysis.
Analytics Documentation.
Remote Data Analytics.
Compensation Package: $150,000 – $245,000
Base Salary: $150,000 – $245,000.
Annual Performance Bonus.
Analytics Quality Incentives.
Business Insight and Reporting Performance Incentives.
Long-Term Incentive Eligibility where applicable.
Additional benefits may include:
• Comprehensive healthcare coverage.
• Retirement savings plan with company contribution.
• Wellness and mental health programs.
• Professional education assistance.
• Flexible remote work environment.
• Paid time off and company holidays.
• Data analytics, SQL, business intelligence, dashboard design, data storytelling, AI-enabled analytics, and reporting automation training.
• Access to modern BI platforms, cloud data systems, analytics tools, collaboration platforms, reporting systems, and AI-enabled productivity resources.
We are committed to fostering a workplace where innovation, diversity, and inclusion drive meaningful business outcomes. We provide equal employment opportunities to all applicants and employees regardless of race, religion, gender, age, disability, veteran status, sexual orientation, or any other protected characteristic under applicable law.
Use data to help leaders and teams make clearer, faster, and more confident business decisions.
Work in a remote-first organization using modern BI tools, cloud data platforms, analytics systems, and AI-enabled productivity resources.
Partner with finance, product, customer success, revenue, operations, and leadership teams on meaningful business questions.
Contribute to a company investing heavily in business intelligence, analytics automation, data quality, AI-enabled insights, and digital transformation.
Improve dashboard quality, reporting clarity, metric trust, and business visibility through meaningful analytical work.
Build a strong analytics career platform by turning data skill, business understanding, and communication strength into measurable enterprise value.
At Admiral Talent, our vision is to redefine staffing through genuine partnerships, innovation, and a people-first mindset. Guided by experienced leadership, we’re committed to driving growth, empowering talent, and delivering exceptional results for every client we serve.