1

Manager Data Analytics Engineer Jobs in Fort Wayne, IN

Foundational knowledge of data analysis, statistics, and problem-solving techniques. * Experience with programming (Python, R, or similar) and working with data (SQL or relational databases)

Foundational knowledge of data analysis, statistics, and problem-solving techniques. * Experience with programming (Python, R, or similar) and working with data (SQL or relational databases)

Design Engineer II

Fort Wayne, IN · Hybrid

$75K - $101.60K/yr

Managing engineering work and priorities of the project team to align with milestones and stretch ... Create test plans, monitor tests, work with lab personnel, complete data analysis and summarize ...

next page

Showing results 1-20

Manager Data Analytics Engineer information

See Fort Wayne, IN salary details

$43.9K

$128K

$175.1K

How much do manager data analytics engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data analytics engineer in Fort Wayne, IN is $127,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Fort Wayne, IN? For Manager Data Analytics Engineer jobs in Fort Wayne, IN, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Fort Wayne, IN look for? The top searched job categories for Manager Data Analytics Engineer jobs in Fort Wayne, IN are:
What cities near Fort Wayne, IN are hiring for Manager Data Analytics Engineer jobs? Cities near Fort Wayne, IN with the most Manager Data Analytics Engineer job openings:
Infographic showing various Manager Data Analytics Engineer job openings in Fort Wayne, IN as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $127,985 per year, or $61.5 per hour.
Sr. Manager, Customer Insights

Sr. Manager, Customer Insights

Vera Bradley

Roanoke, IN • On-site

Full-time

Posted 7 days ago


Vera Bradley rating

6.1

Company rating: 6.1 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Vera Bradley is seeking a Sr. Manager of Customer Insights who will create a customer insights foundation through analytics expertise and a customer intimacy program. The role involves diagnosing customer data, translating complex analysis into actionable insights, and collaborating with marketing and merchandising teams to drive strategy and growth.
Responsibilities:
• Diagnoses existing customer data regardless of source, defining core customer KPIs, and delivering standardized, repeatable reporting for purposes of performance analysis, strategic decisions, budgeting and quarterly earnings calls.
• Translates complex analysis into clear, decision-ready insights for both technical and non-technical stakeholders.
• Works cross-functionally with the Merchandising team to help unlock product value and potential through customer behaviors and trends. Conducts both quantitative and qualitative research to drive results.
• Works with Marketing team to build and assess audience campaign strategies based on knowledge of overall customer file and growth objectives.
• Institutes credible annual brand tracking customer health measures.
• Builds customer segmentation personas and quantifies opportunities across various groups, in tandem with Leadership strategic intent.
• Creates the customer health story, based on data inputs and overall understanding and analysis of the data file.
• Creates a customer intimacy program that allows key stakeholders to better understand customer personas, behaviors and needs, for purposes of succeeding with product development, marketing campaigns, and overall company growth strategy.
• Builds and applies knowledge of season goals, campaign objectives, past campaign performance and available customer information to align on audiences for marketing campaigns.
• Works with marketing and platform partners to track campaign performance and evaluate audience adjustments as needed.
• Links customer segmentation to overall strategic roadmap for customer growth, acquisition and retention.
• Reports out on core customer KPIs in meaningful analysis.
• Delivers full-year customer performance diagnostics to inform forward planning and budgeting as well as strategy to drive acquisition, retention and LTV.
• Leverages Data Analyst Team’s Power BI models to build and refresh executive-ready Power BI dashboards.
• Creates standardized, reusable views designed for ongoing use by Marketing Team for executive and weekly operating reports.
• Proactively identifies and flags gaps, anomalies, or logic issues.
• Partners with Data Analytics team to leverage data models for Marketing and Customer analysis and best usage cases.
• Partners with Marketing and Leadership to refine priorities.
• Implements automated refresh processes where feasible.
• Delivers a clean handoff, including light training and documentation, to internal teams.
Qualifications:
Required:
• Bachelor's degree in business, marketing, data analytics, or a related field.
• 7+ years experience in data analytics, BI, or customer analytics (agency or in-house).
• Proven experience working with customer-centric datasets (retail, consumer goods, e-commerce).
• Comfortable defining KPIs that support financial planning and growth decisions.
• Strong documentation and communication skills; able to enable non-technical teams.
• Able to work independently, move quickly, and deliver in a compressed timeline.
• Comfortable operating as a strategic thought partner, not just a reporting resource.
• Senior-level judgment, speed, and autonomy.
• Ability to work directly with leadership, translating business questions into analytic frameworks, and delivering insight that informs financial planning and customer growth strategy.
• Strong team player with the ability to build and maintain good rapport with both internal and external customers to handle situations with confidence and tact.
• Able to solve complex problems with the ability to take a new perspective on existing solutions.
• High level of analytical thinking and attention to detail.
• Effective leadership, project management and vendor management skills.
Company:
Vera Bradley is a leader in fashionable, colorful, cotton quilted handbags, accessories, and paper and gift items for women of every age. Founded in 1982, the company is headquartered in Fort Wayne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Vera Bradley employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom