Mid Level Data Analytics Manager Jobs
Mid level data analytics manager jobs go to analysts ready to own reporting pipelines, guide junior team members, and translate data into decisions without constant oversight. Openings are concentrated in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with a strong mix of remote and hybrid roles, and employers like Deloitte, Capital One, and 4P Consulting hiring at this level now.
Find JobsOverview
Showing 3 of 166+ Mid Level Data Analytics Manager jobs
The primary job function, under general supervision, is interpreting complex data sets related to various operations of the Claims Department and provide data-driven analysis. The position is responsible for analyzing and interpreting data, identifying trends and patterns, and providing insights to drive business decisions. They will use their knowledge of statistics and various data analytical tools to develop reports, dashboards, and visualizations to present complex data in a clear and concise manner.
Geo-Salary Information:
State specific pay scales for this role are as follows:
In CA: Typical hiring range is $98,568.90 to $120,473.10.
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
- Works with claims leaders and independently to identify and provide data support to recognize opportunities. Collaborates with other departments in Claims and other divisions of the company (Product, U/W, IT Domain Teams, etc.) on implementing solutions to business problems. Supports claims projects by applying general knowledge of the business area processes, including best practices.
- Retrieves data from various sources and prepares data for analysis. Reviews data for accuracy and revises methods of data retrieval when necessary. Prepares reports, graphs and charts based on research and analyses. Analyzes data and identifies trends in data to provide meaningful suggestions and recommendations to leadership. May assist with forecasting future claims activity to plan for future risks. Serves as a contact for basic reporting needs/issues and on demand reports.
- Communicates proactively, clear, and consistently with SME’s and leadership in the various claims operations to understand each job function. Through this communication, the employee will be expected to increase the breadth of their understanding of the processes associated with these operations, and of the various KPI’s that drive business results
- Creates presentations breaking down problems identified, potential solutions. Develops spreadsheets and visual tools for management use. May attend management meetings to present findings and recommendations. The encumbent should have a strong background in creating and explaining meaningful graphs and also be skilled at assembling and delivering presentations
- Coordinates and executes reporting; directs and supports underwriting users/leaders in identifying data needed for reporting using Guidewire Database, NextGen Database, and Enterprise Data Warehouse
- Regular attendance at work on a full-time schedule of at least 8 hours and 40 hours per week
- Other functions may be assigned
Qualifications:
Education:
Worker characteristics are normally acquired through the successful completion of a Bachelor’s degree in an analytical concentration, such as math, statistics, engineering.- SQL Training
- Master’s degree is required in lieu of work experience.
Experience:
At least 3 years experience of insurance related experience preferably in an analytical role, or equivalent combination of education and experience.
Knowledge and Skills:
- Advanced proficiency in SQL required.
- Proficiency in PowerBI and other data visualization tools.
- Experience with Python and/or R a plus.
- Knowledge of statistics and general model building/validation procedures required.
- Strong data skills and ability to work with massive datasets.
- Good problem-solving skills required.
- Good analytical and critical thinking required.
- Strong attention to detail and accuracy
- Excellent written and verbal communication skills required.
- Work requires professional written and verbal communication skills and the ability to present findings on underwriting data projects
- Must have the ability to produce quality work within tight timeframes, simultaneously manage multiple projects and the ability to work in a team setting
- Requires the ability to work a flexible schedule and travel as needed, which may require overnight and/or weekend stays.
- Requires the ability to adhere to the Company’s privacy policy due to the sensitive nature of information handled in this position.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
- Competitive compensation
- Flexibility to work from anywhere in the United States for most positions
- Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, vision, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- Professional and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Mercury is committed to working with and providing reasonable accommodations for qualified individuals with disabilities who need assistance with the application and/or employment consideration process. If you require an accommodation, you may contact us by sending an e-mail to recruiting@mercuryinsurance.com. Please include your name, contact information, and a description of your requested accommodation in your message.
The primary job function, under general supervision, is interpreting complex data sets related to various operations of the Claims Department and provide data-driven analysis. The position is responsible for analyzing and interpreting data, identifying trends and patterns, and providing insights to drive business decisions. They will use their knowledge of statistics and various data analytical tools to develop reports, dashboards, and visualizations to present complex data in a clear and concise manner.
Geo-Salary Information:
State specific pay scales for this role are as follows:
In CA: Typical hiring range is $98,568.90 to $120,473.10.
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
- Works with claims leaders and independently to identify and provide data support to recognize opportunities. Collaborates with other departments in Claims and other divisions of the company (Product, U/W, IT Domain Teams, etc.) on implementing solutions to business problems. Supports claims projects by applying general knowledge of the business area processes, including best practices.
- Retrieves data from various sources and prepares data for analysis. Reviews data for accuracy and revises methods of data retrieval when necessary. Prepares reports, graphs and charts based on research and analyses. Analyzes data and identifies trends in data to provide meaningful suggestions and recommendations to leadership. May assist with forecasting future claims activity to plan for future risks. Serves as a contact for basic reporting needs/issues and on demand reports.
- Communicates proactively, clear, and consistently with SME’s and leadership in the various claims operations to understand each job function. Through this communication, the employee will be expected to increase the breadth of their understanding of the processes associated with these operations, and of the various KPI’s that drive business results
- Creates presentations breaking down problems identified, potential solutions. Develops spreadsheets and visual tools for management use. May attend management meetings to present findings and recommendations. The encumbent should have a strong background in creating and explaining meaningful graphs and also be skilled at assembling and delivering presentations
- Coordinates and executes reporting; directs and supports underwriting users/leaders in identifying data needed for reporting using Guidewire Database, NextGen Database, and Enterprise Data Warehouse
- Regular attendance at work on a full-time schedule of at least 8 hours and 40 hours per week
- Other functions may be assigned
Qualifications:
Education:
Worker characteristics are normally acquired through the successful completion of a Bachelor’s degree in an analytical concentration, such as math, statistics, engineering.- SQL Training
- Master’s degree is required in lieu of work experience.
Experience:
At least 3 years experience of insurance related experience preferably in an analytical role, or equivalent combination of education and experience.
Knowledge and Skills:
- Advanced proficiency in SQL required.
- Proficiency in PowerBI and other data visualization tools.
- Experience with Python and/or R a plus.
- Knowledge of statistics and general model building/validation procedures required.
- Strong data skills and ability to work with massive datasets.
- Good problem-solving skills required.
- Good analytical and critical thinking required.
- Strong attention to detail and accuracy
- Excellent written and verbal communication skills required.
- Work requires professional written and verbal communication skills and the ability to present findings on underwriting data projects
- Must have the ability to produce quality work within tight timeframes, simultaneously manage multiple projects and the ability to work in a team setting
- Requires the ability to work a flexible schedule and travel as needed, which may require overnight and/or weekend stays.
- Requires the ability to adhere to the Company’s privacy policy due to the sensitive nature of information handled in this position.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
- Competitive compensation
- Flexibility to work from anywhere in the United States for most positions
- Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, vision, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- Professional and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Mercury is committed to working with and providing reasonable accommodations for qualified individuals with disabilities who need assistance with the application and/or employment consideration process. If you require an accommodation, you may contact us by sending an e-mail to recruiting@mercuryinsurance.com. Please include your name, contact information, and a description of your requested accommodation in your message.
See All 166+ Mid Level Data Analytics Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Data Analytics Manager Job Market
Who's Hiring
- Deloitte20
- Capital One5
- 4P Consulting5
- TikTok4
- Jobot3
Top Industries Hiring
- Technology & Software38
- Consulting & Professional Services28
- Investment & Asset Management23
- Accounting & Auditing20
- Banking & Financial Services15
Mid Level Data Analytics Manager Jobs: Frequently Asked Questions
How do I get a mid level data analytics manager job?
Position your existing work around ownership and impact, not just task completion. Highlight projects where you led analysis end to end, influenced a business decision, or improved a reporting process. Tailor your resume to show you can manage stakeholder expectations and communicate findings clearly. Employers at this level want evidence of initiative and cross-functional collaboration, so lead with outcomes over responsibilities.
Which companies hire mid level data analytics managers?
Companies hiring mid level data analytics managers right now include Deloitte, Capital One, and 4P Consulting, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers both large enterprises with dedicated analytics teams and mid-size companies building out their data functions for the first time.
Are there remote mid level data analytics manager jobs?
Yes, remote and hybrid options are common at this level. About 37% of mid level data analytics manager openings are remote or hybrid as of November 2026, reflecting how broadly data work has moved away from office-only settings. Fully on-site roles still exist, particularly in regulated industries where data governance requirements are stricter.
How do I move up to a mid level data analytics manager role?
The path from early-career to mid level is built on deepening your technical skills, taking ownership of complete projects, and demonstrating measurable business impact. Focus on becoming proficient with SQL, Python, or BI tools relevant to your industry, then seek out opportunities to lead a workstream or mentor a colleague. Consistent delivery on ambiguous problems signals readiness to step into a mid level scope.
Which industries hire the most mid level data analytics managers?
Mid Level data analytics manager roles concentrate in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors generate large, complex datasets that require analytics managers who can move beyond reporting and start shaping how data informs strategy.