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Remote Data Analytics Manager Jobs in Indiana (NOW HIRING)

US (Remote) Interested applicants mustresidein one of the following approvedstates:Arizona ... Strong analytical and problem-solving capabilities, business acumen, and enterprise mindset.

Job Title Senior Commercial Claims Analytics Consultant - Remote Requisition Number R7770 Senior ... data into decisionready insights that drive business performance, portfolio management, and risk ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Excellent time management and organizational skills. * Must be self-motivated and team oriented.

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... Strong experience with data management and visualization tools, such as SQL Server, Microsoft Power ...

... management responsibilities. * Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling. Data ...

What We Do The Manager, Business Analysis plays a key role in providing research and analysis ... API, business rules, user stories, data validation etc.). * Is a strategic partner, acts as a ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Budget Management: * Manage and allocate budgets effectively across various growth channels ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Budget Management: * Manage and allocate budgets effectively across various growth channels ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Budget Management: * Manage and allocate budgets effectively across various growth channels ...

Showing results 21-40

Remote Data Analytics Manager information

What does a remote data analytics manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are the key skills and qualifications needed to thrive as a remote data analytics manager?

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.

What are some common challenges faced by remote data analytics managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

What is the difference between Remote Data Analytics Manager vs Remote Data Analyst?

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What are the most commonly searched types of Remote Data Analytics jobs in Indiana?

The most popular types of Remote Data Analytics jobs in Indiana are:

What are popular job titles related to Remote Data Analytics Manager jobs in Indiana?

For Remote Data Analytics Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Manager jobs in Indiana look for?

The top searched job categories for Remote Data Analytics Manager jobs in Indiana are:

What cities in Indiana are hiring for Remote Data Analytics Manager jobs?

Cities in Indiana with the most Remote Data Analytics Manager job openings:

Infographic showing various Remote Data Analytics Manager job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Credit Risk Manager/Senior Analyst

Thrive Financial, LLC

Domestic, IN • Remote

Full-time

Re-posted 27 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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