Senior Level Data Analytics Engineer Jobs
Senior level data analytics engineer jobs place experienced engineers in charge of data architecture decisions, end-to-end pipeline ownership, and the cross-functional teams that turn raw data into business outcomes. Roles are concentrated across Technology & Software, Electronics & Hardware, and Banking & Financial Services, with a mix of remote, hybrid, and on-site positions, and employers like Apple, Ryder System, and JPMorganChase hiring at this level now.
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EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.
Job Purpose
The Director – Financial Planning & Analysis, Field Services will lead the accounting and financial reporting for the field service group within the Network & Infrastructure Solutions operating segment. This is a strategic role partnering with the service group to perform the proper financial closing processes as well as partner with the operations to report on profitability, strive for forecast accuracy, and develop data-driven decision making. The role will directly influence business outcomes through initiative-taking financial leadership and partnership with senior management and project managers.
Essential Duties and Responsibilities
- Oversee monthly, quarterly, and annual close process, ensuring accuracy, completeness, and timeliness for service group
- Prepare and present internal non-audited financial reports for lines of businesses
- Partner with operations team to analyze results to improve overall performance
- Ensure alignment between financial reporting and operational performance metrics
- Improve forecast accuracy and reduce volatility across project financials
- Partner with EnerSys Corporate Finance team to maintain a robust internal control environment while ensuring compliance with regulatory requirements, tax laws, and company policies
- Prepare annual budget and strategic plans in coordination with Global VP Finance, NIS
Project Management
- Drive improved project profitability through rigorous cost-to-complete and margin analysis
- Conduct frequent (monthly/bi-weekly) profitability reviews with project managers to challenge assumptions and improve outcomes
- Ensure accurate and compliant percentage of completion (POC) revenue recognition (ASC 606 / IFRS 15) in coordination with EnerSys Corporate Finance team
- Provide actionable insights on margin, backlog, and revenue trends to leadership
- Identify and mitigate financial risks early, including cost overruns and margin erosion
- Advance a single source of truth (SSOT) for project financial data
- Lead, mentor, and develop the team, fostering a high-performance culture
- Drive accountability, continuous improvement, and operational excellence
- Partner with Corporate business leaders to align financial data with strategic objectives
Qualifications
- Financial Accuracy & Integrity – Ensures precision and compliance in all reporting
- Leadership & Influence – Drive performance and cross functional alignment
- Operational Excellence – Continuously improves processes and controls
- Analytical Rigor – Translates financial data into business insights
- Change Leadership – Drives transformation in systems, data, and processes
Qualifications
- Bachelor’s degree in Accounting or Finance, or related field
- MBA/CPA preferred but not required
- Cost Accounting experience a plus
- 7–10+ years of experience of progressive accounting experience, including leadership responsibility
- Expertise in POC accounting (ASC 606 / IFRS 15)
- Strong ability to influence operational stakeholders
- Advanced analytical and forecasting capabilities
- Experience with ERP systems (e.g., SAP, Syteline) and data-driven reporting
- Experience with business intelligence tools (e.g., Power BI)
General Job Requirements
- Generic
EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.
EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.
Job Purpose
The Director – Financial Planning & Analysis, Field Services will lead the accounting and financial reporting for the field service group within the Network & Infrastructure Solutions operating segment. This is a strategic role partnering with the service group to perform the proper financial closing processes as well as partner with the operations to report on profitability, strive for forecast accuracy, and develop data-driven decision making. The role will directly influence business outcomes through initiative-taking financial leadership and partnership with senior management and project managers.
Essential Duties and Responsibilities
- Oversee monthly, quarterly, and annual close process, ensuring accuracy, completeness, and timeliness for service group
- Prepare and present internal non-audited financial reports for lines of businesses
- Partner with operations team to analyze results to improve overall performance
- Ensure alignment between financial reporting and operational performance metrics
- Improve forecast accuracy and reduce volatility across project financials
- Partner with EnerSys Corporate Finance team to maintain a robust internal control environment while ensuring compliance with regulatory requirements, tax laws, and company policies
- Prepare annual budget and strategic plans in coordination with Global VP Finance, NIS
Project Management
- Drive improved project profitability through rigorous cost-to-complete and margin analysis
- Conduct frequent (monthly/bi-weekly) profitability reviews with project managers to challenge assumptions and improve outcomes
- Ensure accurate and compliant percentage of completion (POC) revenue recognition (ASC 606 / IFRS 15) in coordination with EnerSys Corporate Finance team
- Provide actionable insights on margin, backlog, and revenue trends to leadership
- Identify and mitigate financial risks early, including cost overruns and margin erosion
- Advance a single source of truth (SSOT) for project financial data
- Lead, mentor, and develop the team, fostering a high-performance culture
- Drive accountability, continuous improvement, and operational excellence
- Partner with Corporate business leaders to align financial data with strategic objectives
Qualifications
- Financial Accuracy & Integrity – Ensures precision and compliance in all reporting
- Leadership & Influence – Drive performance and cross functional alignment
- Operational Excellence – Continuously improves processes and controls
- Analytical Rigor – Translates financial data into business insights
- Change Leadership – Drives transformation in systems, data, and processes
Qualifications
- Bachelor’s degree in Accounting or Finance, or related field
- MBA/CPA preferred but not required
- Cost Accounting experience a plus
- 7–10+ years of experience of progressive accounting experience, including leadership responsibility
- Expertise in POC accounting (ASC 606 / IFRS 15)
- Strong ability to influence operational stakeholders
- Advanced analytical and forecasting capabilities
- Experience with ERP systems (e.g., SAP, Syteline) and data-driven reporting
- Experience with business intelligence tools (e.g., Power BI)
General Job Requirements
- Generic
EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.
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Find JobsSenior Level Data Analytics Engineer Job Market
Who's Hiring
- Apple33
- Ryder System24
- JPMorganChase13
- Google10
- Riveron9
Top Industries Hiring
- Technology & Software87
- Electronics & Hardware44
- Banking & Financial Services38
- Consulting & Professional Services35
- Investment & Asset Management25
Senior Level Data Analytics Engineer Jobs: Frequently Asked Questions
How do I get a senior level data analytics engineer job?
Employers at this level expect candidates to demonstrate ownership of complex data systems, not just participation in them. Highlight projects where you designed or rebuilt a pipeline, led a migration, or defined modeling standards for a team. Strong candidates also show experience mentoring junior engineers and influencing data strategy, not just executing it. A portfolio with measurable business outcomes carries more weight than credentials alone.
Which companies hire senior level data analytics engineers?
Companies hiring senior level data analytics engineers right now include Apple, Ryder System, and JPMorganChase, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a mix of large technology firms, financial services companies, and data-intensive enterprises that need engineers who can own infrastructure and lead analytical teams.
Are there remote senior level data analytics engineer jobs?
Yes, remote availability is strong at this level. About 23% of senior level data analytics engineer openings are remote or hybrid as of July 2026, reflecting how many organizations treat experienced data engineers as distributed contributors. On-site roles tend to cluster in industries with stricter data governance requirements, such as healthcare and financial services.
What makes a data analytics engineer role senior level?
Senior level roles are defined by scope and accountability. Engineers at this stage own the design of data models and pipelines rather than implementing specs written by others, make architectural decisions that affect downstream teams, and are expected to mentor junior and mid-level engineers. They also engage directly with stakeholders to translate business questions into analytical systems, and are responsible for data quality and reliability at scale.
Which industries hire the most senior level data analytics engineers?
Senior level data analytics engineer roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors share a dependence on large, complex datasets and need engineers who can build and maintain the infrastructure that makes analytics reliable enough to drive decisions at an organizational level.