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Analytics Manager Jobs in Fort Wayne, IN (NOW HIRING)

Analyze the staff and be able to devise the right kind of talent management and recruiting strategies. Identify training gaps and work to fill them. Requirements * Multi-unit restaurant operations ...

Position Summary The Management Analyst evaluates organizational processes, systems, and performance to identify opportunities for operational improvement and strategic growth. This role collaborates ...

Position Summary The Management Analyst evaluates organizational processes, systems, and performance to identify opportunities for operational improvement and strategic growth. This role collaborates ...

Description Position Summary The Management Analyst evaluates organizational processes, systems, and performance to identify opportunities for operational improvement and strategic growth. This role ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Senior Analytics Engineer

Fort Wayne, IN · On-site

$103K - $141K/yr

Tune model and warehouse performance in Snowflake; optimize SQL transformations and manage compute ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

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Analytics Manager information

See Fort Wayne, IN salary details

$63.6K

$123.7K

$176.6K

How much do analytics manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for analytics manager in Fort Wayne, IN is $123,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $147,000.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

What are the most commonly searched types of Analytics jobs in Fort Wayne, IN?

The most popular types of Analytics jobs in Fort Wayne, IN are:

What are popular job titles related to Analytics Manager jobs in Fort Wayne, IN?

For Analytics Manager jobs in Fort Wayne, IN, the most frequently searched job titles are:

What job categories do people searching Analytics Manager jobs in Fort Wayne, IN look for?

The top searched job categories for Analytics Manager jobs in Fort Wayne, IN are:

What cities near Fort Wayne, IN are hiring for Analytics Manager jobs?

Cities near Fort Wayne, IN with the most Analytics Manager job openings:

Infographic showing various Analytics Manager job openings in Fort Wayne, IN as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $123,659 per year, or $59.5 per hour.

Credit Risk Manager/Senior Analyst

Thrive Financial, LLC

Domestic, IN • Remote

Full-time

Re-posted 23 days ago


Key responsibilities

  • Build out analytics and procedures to monitor credit performance and uncover opportunities to protect Thrive's bottom line

  • Produce reporting and dashboards that effectively communicate credit risk trends to a variety of stakeholders

  • Monitor and enhance credit underwriting models


Job description

At Thrive Financial, Credit Risk Managers/Analysts have the opportunity to shape business outcomes through actionable, data-driven insights as the company is in high growth mode. This role is for someone who is able to apply analytics in an environment of ambiguity and incomplete ownership and loves working cross functionally.  You are a data nerd who is passionate about leveraging AI and automation for analytics, a relationship builder, and you know how to weigh risk against opportunity.  This role will be foundational in continuing to optimize the Thrive credit policy.
You have the right background if you
  • Have three or more years working in a lending analytics roles with at least two years spent working in a risk environment where the consumer credit risk isn't the whole story

  • Have earned increased responsibility or promotions through performance, not tenure

  • Have worked in an early-stage company (or equivalent environment) where structure was minimal and initiative mattered, or can clearly demonstrate that you've succeeded without heavy process or support

  • Are comfortable wearing multiple hats today, with an eye toward building and leading a team in the future

  • You are a SQL and/or Python wizard

  • Are passionate about leveraging AI and automation to build lean and scalable risk analytics programs

How you approach the role
  • You are hands-on by default - excited to dive into consumer data, solve real problems, and deliver tangible value

  • You naturally look for patterns and gaps, and feel compelled to create structure where none exists

  • You balance empathy and accountability, building trust while driving outcomes

  • You are energized by growth (both personal and organizational) and want to level up into people leadership over time

What You Will Do
  • Build out analytics and procedures to monitor credit performance and uncover opportunities to protect Thrive's bottom line 

  • Produce reporting and dashboards that effectively communicate credit risk trends to a variety of stakeholders

  • Monitor and enhance credit underwriting models 

  • Update loss forecasting estimates and analyze portfolio profitability

  • Identify improvements for more efficient customer underwriting to reduce friction while maintaining decision integrity 

  • Leverage automation and AI to drive more insights with less overhead

Why This Role
  • High-impact opportunity to shape risk strategy at an early stage - you are here to take us from 10 to 100 

  • Path to expanded scope and people leadership as the company scales

  • Mission-driven fintech focused on enabling responsible, accessible financing

  • Fully remote, highly collaborative environment with room to grow

At Thrive, our best teammates embody GRIT:
Get things done You are self-directed, proactive, and biased toward action. You don't wait for perfect conditions to move forward.
Respect each other You lead with humility and empathy - whether working with contractors, teammates, or leadership.
Intellectual curiosity You ask thoughtful questions, seek context, and enjoy learning new industries, products, and customer needs in order to make practical, informed decisions.
Teamwork You believe the best results come from shared ownership, open communication, and learning together.
 
As a Credit Risk Manager/Senior Analyst, you also bring:
Trustworthiness You prioritize long-term relationships, follow through on commitments, and ensure alignment across stakeholders.
Collaboration You actively invite diverse perspectives and use them to arrive at better solutions - for customers and for the business.
Stewardship You approach your work with a servant mindset, focused on supporting contractors, teammates, and the broader mission of responsible financial access.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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