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Full Time Data Analyst Jobs in Fort Wayne, IN (NOW HIRING)

DEKKO INC

Data Scientist - Intern

Fort Wayne, IN · On-site

What You'll Be Doing * Analyze and explore data to identify trends, inefficiencies and ... Networking opportunities and potential for future full-time roles Ready to build what's next? Apply ...

Dekko

Data Scientist - Intern

Fort Wayne, IN · On-site

What You'll Be Doing * Analyze and explore data to identify trends, inefficiencies and ... Networking opportunities and potential for future full-time roles Ready to build what's next? Apply ...

Google

Data Center Facility Operations Manager

Fort Wayne, IN · On-site

$164.80K/yr

The US base salary range for this full-time position is $138,000-$200,000 bonus equity benefits ... Lead efforts to perform compliance activities for a data center and analyze compliance results for ...

MonArk ABA

Lead BCBA Clinician

Van Wert, OH · On-site

$70.04K - $76.53K/yr

... data analysis, supportive behavioral skills training, family training, and creating behavior ... Only full-time employees eligible Work Location: In person/Remote

Venteon

Quality Engineer

Fort Wayne, IN · On-site

$65.50K - $84.60K/yr

This is a Full Time, Permanent, Direct Hire Position offering Competitive Compensation, Bonus ... Collect data, analyze & format information for higher level managers. * Evaluate and develop, as ...

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Full Time Data Analyst information

See Fort Wayne, IN salary details

$33.5K

$81.5K

$134.2K

How much do full time data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for full time data analyst in Fort Wayne, IN is $81,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Data Analyst, and why are they important?

To thrive as a Full Time Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.

What are typical collaboration partners for a Full Time Data Analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What does a Full Time Data Analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What is the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

What are the most commonly searched types of Data Analyst jobs in Fort Wayne, IN? The most popular types of Data Analyst jobs in Fort Wayne, IN are:
What are popular job titles related to Full Time Data Analyst jobs in Fort Wayne, IN? For Full Time Data Analyst jobs in Fort Wayne, IN, the most frequently searched job titles are:
What job categories do people searching Full Time Data Analyst jobs in Fort Wayne, IN look for? The top searched job categories for Full Time Data Analyst jobs in Fort Wayne, IN are:
What cities near Fort Wayne, IN are hiring for Full Time Data Analyst jobs? Cities near Fort Wayne, IN with the most Full Time Data Analyst job openings:
Full Time Data Analyst jobs near you
Data Analyst

Data Analyst

Central Mutual Insurance Company

Van Wert, OH • On-site

Full-time

Medical, Retirement

Posted 9 days ago

Job description

Location:Van Wert, OH; Dublin, OH
Work Model: Hybrid
Position type: Full time - salary
We're a team of employees passionate about delivering best-in-class customer service and driving innovation in claims management. Integrity, relationships, and excellence are at the heart of everything we do.
Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!
Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting requirements and strategic goals.
This is an opportunity for a curious, detail-oriented professional who thrives on problem solving and continuous improvement. You will leverage advanced tools and analytical techniques to identify trends, surface insights, and influence data solutions, all while contributing to a culture that values data quality, collaboration, and innovation.
Key Responsibilities of the Role
  • Prepare and submit regulatory reports accurately and on time
  • Ensure adherence to & reinforcement of delivery best practices
  • Actively engaged in the design and implementation of repeatable processes
  • Champion data quality, integrity, and reliability throughout the department by designing and promoting best practices
  • Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise
  • Analyze and validate financial data; identify trends, discrepancies, and anomalies
  • Track regulatory updates and adapt reporting processes accordingly
  • Maintain documentation of processes and support internal/external audits
  • Identify improvement opportunities in reporting systems and workflows
  • Assume department responsibility as the Data Steward ensuring the fitness of data elements
  • Collaborate regularly with IT, Analytics, Actuarial, Finance, and other Business units to ensure data is accurate
  • Display critical thinking and evaluation when researching and responding to inquiries and referrals
  • Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.)
  • Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals
  • Guide & influence strategic data solutions

Required Qualifications
  • Bachelor's degree in Computer Science or related field and 2 years of related experience
  • Or 4 years of related experience

Knowledge, Skills, and Abilities
  • Previous regulatory reporting or insurance experience
  • Working knowledge of Azure DevOps or other code repositories
  • Experience with object-oriented programming languages, such as Python
  • Advanced Alteryx expertise
  • Advanced SQL expertise
  • Data Modeling experience
  • Strong analytical and problem-solving skills
  • Ability to set priorities and plans to meet business goals and objectives
  • Ability to shift & balance strategic, high-level thinking with attention to detail
  • Ability to lead, motivate & influence without having formal authority
  • Ability to act as a thought leader with a focus on innovative & high-quality solutions
  • Ability to work both independently and in a team environment with internal /external customers
  • Ability to understand, design & implement end-to-end BI workflows
  • Strong organizational, planning & problem-solving skills
  • Strong communication & interpersonal skills
  • Ability to understand Central Insurance's policies and processes

Total Rewards
Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees' financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits
Work Authorization
Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-AS1 #LI-Hybrid

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