Mid Level Data Analyst Jobs
Mid level data analyst jobs go to analysts ready to own projects end to end, translate findings into decisions, and guide junior teammates without hand-holding. Openings are spread across on-site, hybrid, and remote settings in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with employers like Deloitte, Capital One, and TikTok 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 Mid Level Data Analyst JobsMid Level Data Analyst Job Market
Who's Hiring
- Deloitte18

- Capital One6

- TikTok5

- 4P Consulting5

- Jobot3

Top Industries Hiring
- Technology & Software54
- Consulting & Professional Services37
- Investment & Asset Management26
- Banking & Financial Services22
- Accounting & Auditing18
Mid Level Data Analyst Jobs: Frequently Asked Questions
How do I get a mid level data analyst job?
Lead with ownership, not just participation. Highlight projects where you defined the analysis approach, delivered findings to stakeholders, or influenced a business decision on your own. Strong applications show fluency in SQL and at least one visualization tool, a clear sense of your domain, and examples of work you drove rather than supported. Tailor your resume to the specific industry the employer operates in.
Which companies hire mid level data analysts?
Companies hiring mid level data analysts right now include Deloitte, Capital One, and TikTok, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, from large enterprises building out analytics teams to mid-size companies where a data analyst takes on broader scope earlier.
Are there remote mid level data analyst jobs?
Yes, and the share is substantial. About 36% of mid level data analyst openings are remote or hybrid as of September 2026, making this one of the more flexible roles in the data field. Most remote postings still expect strong asynchronous communication and the ability to present findings clearly to distributed stakeholders without in-person support.
How do I move up to a mid level data analyst role?
The shift from entry level to mid level is built over time through deepening ownership. Early-career analysts grow into mid level by moving from executing assigned tasks to defining their own analytical approach, taking full responsibility for a project area, and demonstrating measurable impact on business outcomes. Building fluency in advanced SQL, statistics, or a specialization like product or marketing analytics accelerates the transition.
Which industries hire the most mid level data analysts?
Mid Level data analyst roles concentrate in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. These sectors generate large volumes of operational and customer data that require experienced analysts who can move beyond reporting and surface insights that inform strategy.