Analytics Engineer Visa Sponsorship Jobs in New Hampshire
Analytics engineer roles in New Hampshire are concentrated in Manchester and Nashua, where financial services firms like Fidelity Investments and technology companies along the Route 3 corridor actively hire data professionals. Healthcare organizations including Dartmouth Health and insurance carriers also sponsor international talent for analytics engineering positions requiring dbt, Spark, and cloud data platform expertise.
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Get Access To All JobsINTRODUCTION
Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
ROLE
The Director, Revenue Strategy & Analytics serves as the analytical backbone of the Revenue Management organization, providing data-driven insights that influence revenue growth, customer retention, pricing strategy, and long-term business planning. This role is responsible for identifying trends before they appear in financial results, uncovering growth opportunities, evaluating commercial performance, and developing actionable recommendations that improve revenue outcomes. The ideal candidate combines advanced analytical capabilities with strong business acumen and the ability to translate complex data into compelling narratives for executive leadership. This individual will partner closely with Revenue Growth Programs, Customer Success, Sales, Finance, Marketing, Product, and Operations to identify opportunities, measure performance, and drive informed decision-making across the business.
HOW YOU'LL CONTRIBUTE
Revenue Strategy & Business Insights:
- Identify emerging revenue trends, risks, and opportunities before they are reflected in financial results.
- Develop forward-looking analyses that influence revenue outcomes and business performance.
- Partner with leadership teams to evaluate strategic growth opportunities and quantify business impact.
- Conduct market, competitive, customer, and commercial analyses to support revenue strategy development.
- Leverage external market signals, customer data, and internal operational metrics to inform decision making.
Commercial Analytics:
- Analyze customer purchasing behavior, retention trends, renewal performance, expansion opportunities, and revenue leakage.
- Assess pricing elasticity and commercial effectiveness to support pricing and packaging strategy decisions.
- Develop analytical frameworks that identify the most effective revenue growth levers.
- Support cross-sell, upsell, customer retention, and net-new revenue initiatives through data-driven recommendations.
- Conduct value realization and customer segmentation analyses to improve commercial effectiveness.
Forecasting & Revenue Performance:
- Develop predictive models and forward-looking analyses that improve forecast accuracy.
- Identify leading indicators and operational drivers that influence revenue performance.
- Create early warning systems for revenue risks and customer churn.
- Support quarterly and annual forecasting processes with detailed analytical insights.
- Partner with Finance and operational leaders to evaluate plan performance and corrective actions.
Customer Retention & Churn Analytics:
- Lead root cause analysis of customer churn and retention trends.
- Quantify drivers of customer attrition and develop actionable recommendations.
- Build analytical models that identify at-risk customers and revenue streams.
- Support retention and customer-save programs through targeted insights and performance measurement.
- Evaluate customer health indicators and value realization metrics.
Data Management & Reporting:
- Consolidate data from multiple systems and sources to create a comprehensive revenue intelligence framework.
- Design and maintain executive dashboards, performance scorecards, and operational reporting.
- Develop key performance indicators and operational control metrics for measuring business health.
- Establish standardized reporting methodologies and governance processes.
- Improve data quality, transparency, and accessibility across the organization.
Cross-Functional Partnership:
- Collaborate with Revenue Growth Programs to prioritize opportunities and measure initiative effectiveness.
- Partner with Customer Success, Sales, Marketing, Product, and Operations to develop analytical support for strategic initiatives.
- Present findings and recommendations to executive leadership and functional teams.
- Serve as a trusted advisor on revenue performance, customer trends, and commercial strategy.
SUCCESS METRICS
The Director, Revenue Strategy & Analytics will be measured on:
- Accuracy and predictiveness of revenue insights
- Forecast accuracy improvement
- Identification of revenue growth opportunities
- Churn reduction and retention improvement impact
- Adoption and effectiveness of analytical recommendations
- Dashboard utilization and reporting effectiveness
- Quality of leading indicators and operational metrics
- Influence on strategic business decisions
REQUIRED SKILLS
- Bachelor's degree in Finance, Economics, Statistics, Analytics, Business, Mathematics, or related field.
- 8+ years of experience in Revenue Analytics, FP&A, Business Intelligence, Revenue Operations, Commercial Analytics, Consulting, or related disciplines.
- Proven experience building analytical models and translating data into executive-level recommendations.
- Advanced expertise in forecasting, performance management, and business analytics.
- Strong proficiency with BI tools, dashboard development, and data visualization.
- Experience working with large datasets and multiple data sources.
- Exceptional communication and storytelling skills.
PREFERRED SKILLS
- Experience within SaaS, subscription, technology, fintech, or recurring revenue businesses.
- Knowledge of retention analytics, pricing strategy, customer segmentation, and revenue planning.
- Experience with predictive analytics and advanced forecasting techniques.
- MBA, Master's Degree, or advanced analytical certification.
KEY COMPETENCIES
- Strategic Analytics
- Revenue Forecasting
- Business Intelligence
- Commercial Analytics
- Customer Retention Insights
- Executive Storytelling
- Data Visualization
- Financial Modeling
- Problem Solving
- Cross-Functional Influence
We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
INTRODUCTION
Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
ROLE
The Director, Revenue Strategy & Analytics serves as the analytical backbone of the Revenue Management organization, providing data-driven insights that influence revenue growth, customer retention, pricing strategy, and long-term business planning. This role is responsible for identifying trends before they appear in financial results, uncovering growth opportunities, evaluating commercial performance, and developing actionable recommendations that improve revenue outcomes. The ideal candidate combines advanced analytical capabilities with strong business acumen and the ability to translate complex data into compelling narratives for executive leadership. This individual will partner closely with Revenue Growth Programs, Customer Success, Sales, Finance, Marketing, Product, and Operations to identify opportunities, measure performance, and drive informed decision-making across the business.
HOW YOU'LL CONTRIBUTE
Revenue Strategy & Business Insights:
- Identify emerging revenue trends, risks, and opportunities before they are reflected in financial results.
- Develop forward-looking analyses that influence revenue outcomes and business performance.
- Partner with leadership teams to evaluate strategic growth opportunities and quantify business impact.
- Conduct market, competitive, customer, and commercial analyses to support revenue strategy development.
- Leverage external market signals, customer data, and internal operational metrics to inform decision making.
Commercial Analytics:
- Analyze customer purchasing behavior, retention trends, renewal performance, expansion opportunities, and revenue leakage.
- Assess pricing elasticity and commercial effectiveness to support pricing and packaging strategy decisions.
- Develop analytical frameworks that identify the most effective revenue growth levers.
- Support cross-sell, upsell, customer retention, and net-new revenue initiatives through data-driven recommendations.
- Conduct value realization and customer segmentation analyses to improve commercial effectiveness.
Forecasting & Revenue Performance:
- Develop predictive models and forward-looking analyses that improve forecast accuracy.
- Identify leading indicators and operational drivers that influence revenue performance.
- Create early warning systems for revenue risks and customer churn.
- Support quarterly and annual forecasting processes with detailed analytical insights.
- Partner with Finance and operational leaders to evaluate plan performance and corrective actions.
Customer Retention & Churn Analytics:
- Lead root cause analysis of customer churn and retention trends.
- Quantify drivers of customer attrition and develop actionable recommendations.
- Build analytical models that identify at-risk customers and revenue streams.
- Support retention and customer-save programs through targeted insights and performance measurement.
- Evaluate customer health indicators and value realization metrics.
Data Management & Reporting:
- Consolidate data from multiple systems and sources to create a comprehensive revenue intelligence framework.
- Design and maintain executive dashboards, performance scorecards, and operational reporting.
- Develop key performance indicators and operational control metrics for measuring business health.
- Establish standardized reporting methodologies and governance processes.
- Improve data quality, transparency, and accessibility across the organization.
Cross-Functional Partnership:
- Collaborate with Revenue Growth Programs to prioritize opportunities and measure initiative effectiveness.
- Partner with Customer Success, Sales, Marketing, Product, and Operations to develop analytical support for strategic initiatives.
- Present findings and recommendations to executive leadership and functional teams.
- Serve as a trusted advisor on revenue performance, customer trends, and commercial strategy.
SUCCESS METRICS
The Director, Revenue Strategy & Analytics will be measured on:
- Accuracy and predictiveness of revenue insights
- Forecast accuracy improvement
- Identification of revenue growth opportunities
- Churn reduction and retention improvement impact
- Adoption and effectiveness of analytical recommendations
- Dashboard utilization and reporting effectiveness
- Quality of leading indicators and operational metrics
- Influence on strategic business decisions
REQUIRED SKILLS
- Bachelor's degree in Finance, Economics, Statistics, Analytics, Business, Mathematics, or related field.
- 8+ years of experience in Revenue Analytics, FP&A, Business Intelligence, Revenue Operations, Commercial Analytics, Consulting, or related disciplines.
- Proven experience building analytical models and translating data into executive-level recommendations.
- Advanced expertise in forecasting, performance management, and business analytics.
- Strong proficiency with BI tools, dashboard development, and data visualization.
- Experience working with large datasets and multiple data sources.
- Exceptional communication and storytelling skills.
PREFERRED SKILLS
- Experience within SaaS, subscription, technology, fintech, or recurring revenue businesses.
- Knowledge of retention analytics, pricing strategy, customer segmentation, and revenue planning.
- Experience with predictive analytics and advanced forecasting techniques.
- MBA, Master's Degree, or advanced analytical certification.
KEY COMPETENCIES
- Strategic Analytics
- Revenue Forecasting
- Business Intelligence
- Commercial Analytics
- Customer Retention Insights
- Executive Storytelling
- Data Visualization
- Financial Modeling
- Problem Solving
- Cross-Functional Influence
We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
Analytics Engineer Job Roles in New Hampshire
See all Analytics Engineer Jobs in New Hampshire
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Search Analytics Engineer Jobs in New HampshireAnalytics Engineer Jobs in New Hampshire: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in New Hampshire?
Fidelity Investments in Merrimack is among the most consistent sponsors for data and analytics engineering roles in New Hampshire. Healthcare systems like Dartmouth Health, insurance carriers, and defense-adjacent technology firms in the Nashua corridor also sponsor H-1B visa petitions for analytics engineers. Larger enterprises with established immigration programs are generally more likely to sponsor than smaller regional firms.
Which visa types are most common for analytics engineer roles in New Hampshire?
The H-1B is the most common visa category for analytics engineers in New Hampshire, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, statistics, or a related field. Candidates with Canadian or Mexican citizenship may qualify for TN visa status under the mathematician or computer systems analyst categories depending on how the role is defined.
Which cities in New Hampshire have the most analytics engineer sponsorship jobs?
Manchester and Nashua account for the majority of analytics engineer sponsorship activity in New Hampshire. Nashua's proximity to the Massachusetts border makes it attractive for companies with footprints in both states, and several financial services and technology employers maintain significant operations there. Concord, as the state capital, has a smaller but present public-sector and healthcare-adjacent hiring base.
How to find analytics engineer visa sponsorship jobs in New Hampshire?
Migrate Mate filters job listings specifically for roles that include visa sponsorship, making it straightforward to search analytics engineer positions in New Hampshire without sifting through listings that don't support international candidates. Because sponsorship willingness isn't always stated in standard job postings, using a platform built around sponsorship data, like Migrate Mate, saves significant time when targeting New Hampshire employers.
Are there state-specific considerations for analytics engineers seeking visa sponsorship in New Hampshire?
New Hampshire has no state income tax, which affects prevailing wage calculations employers use for Labor Condition Applications. Employers must still meet federal prevailing wage requirements set by the Department of Labor for the specific job location. The University of New Hampshire and Southern New Hampshire University produce data and computer science graduates, creating a local talent pipeline that can influence how actively employers look beyond the domestic candidate pool.
What is the prevailing wage for sponsored analytics engineer jobs in New Hampshire?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.