Mid Level Data Analytics Engineer Jobs
Mid level data analytics engineer jobs go to engineers ready to own data pipelines and reporting systems end to end, mentor junior teammates, and translate complex findings into decisions with limited oversight. Roles cover on-site, hybrid, and remote settings across Consulting & Professional Services, Investment & Asset Management, and Accounting & Auditing, with employers like Deloitte, Capital One, and 4P Consulting hiring at this level now.
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Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.
Line of Business Job Description
The Reporting Analyst is responsible for delivering high-quality reporting, analytics, and data insights to business partners. This role works closely with stakeholders to understand reporting needs, develop reporting solutions, support ad hoc analysis, and ensure accurate and timely delivery of critical business, operational, regulatory, and audit reporting. The ideal candidate combines strong analytical and SQL skills with a customer-focused mindset. They can translate business questions into data-driven solutions, manage multiple priorities, and communicate effectively with both technical and non-technical audiences.
Key Responsibilities
Reporting Delivery & Business Support
- Develop, maintain, and deliver recurring business, operational, regulatory, and management reports
- Respond to ad hoc reporting and data requests from business partners and leadership
- Partner with stakeholders to understand reporting needs and define reporting requirements
- Ensure reports are delivered accurately and on established timelines
- Present findings, trends, and data insights in a clear and actionable manner
- Support business decisions through data analysis and reporting
Data Analysis & SQL Development
- Write and maintain SQL queries to support reporting and analytical needs
- Analyze large and complex datasets to identify trends, issues, and opportunities
- Validate and reconcile data across multiple sources
- Troubleshoot reporting issues and resolve data discrepancies
- Recommend process improvements that increase reporting efficiency and accuracy
Report Management & Governance
- Support report inventory and reporting documentation activities
- Maintain reporting procedures, business rules, and logic documentation
- Ensure reporting processes comply with established controls and governance standards
- Participate in report enhancement and modernization efforts
- Assist with audit, compliance, and regulatory requests as needed
Stakeholder Partnership
- Build strong relationships with business partners and reporting consumers
- Provide reporting consultation and support to stakeholders
- Translate business requirements into reporting solutions
- Manage competing priorities while maintaining strong customer service
Required Qualifications
- Bachelors degree
- 3+ years of experience in reporting, analytics, business intelligence, or related fields
- SQL experience, including query development
- Experience supporting business reporting and ad hoc analytical requests
- Strong analytical and problem-solving skills
- Experience working with large datasets and multiple data sources
- Advanced Microsoft Excel skills
- Strong verbal and written communication skills
- Ability to manage multiple priorities in a fast-paced environment
- Strong attention to detail and commitment to data accuracy
Preferred Qualifications
- Experience using SAS, Tableau, Power BI, Microstrategy or similar reporting tools
- Graduate degree in Data Science, Computer Science, Engineering or similar field
- Knowledge of data validation, data quality controls, and reconciliations
- Experience supporting audit, risk, compliance, or regulatory reporting
Shift:
1st shift (United States of America)Hours Per Week:
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Find JobsMid Level Data Analytics Engineer Job Market
Who's Hiring
- Deloitte19

- Capital One4

- 4P Consulting4

- Amazon3

- JND2

Top Industries Hiring
- Consulting & Professional Services27
- Investment & Asset Management21
- Accounting & Auditing19
- Technology & Software14
- Banking & Financial Services7
Mid Level Data Analytics Engineer Jobs: Frequently Asked Questions
How do I get a mid level data analytics engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you defined the approach, resolved ambiguity, and delivered a result stakeholders acted on. Show proficiency in SQL, a cloud data platform, and at least one BI or transformation tool. Applications that demonstrate you can work independently and communicate findings to non-technical audiences stand out at this level.
Which companies hire mid level data analytics engineers?
Companies hiring mid level data analytics engineers right now include Deloitte, Capital One, and 4P Consulting, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including technology firms, retailers, financial services companies, and healthcare organizations that depend on data-driven decision making.
Are there remote mid level data analytics engineer jobs?
Yes, remote options are common at this experience level. About 15% of mid level data analytics engineer openings are remote or hybrid as of September 2026, reflecting how broadly distributed data teams have become. Fully on-site roles still exist, particularly at companies with strict data governance requirements or collaborative engineering cultures.
How do I move up to a mid level data analytics engineer role?
The path from entry level to mid level is built on depth and demonstrated ownership over time. Early-career engineers grow into mid level by mastering core tooling, taking on complete project cycles rather than isolated tasks, and showing measurable impact through their work. Documenting outcomes, seeking feedback, and progressively reducing reliance on senior guidance signals readiness for promotion or a lateral move up.
Which industries hire the most mid level data analytics engineers?
Mid Level data analytics engineer roles concentrate in Consulting & Professional Services, Investment & Asset Management, and Accounting & Auditing, based on current listings on Migrate Mate as of September 2026. These sectors drive high demand at this experience level because they combine large data volumes with a need for engineers who can operate independently and turn raw data into reliable, decision-ready outputs.