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Weekend Senior Data Analyst Jobs in Fort Wayne, IN

Data Analyst 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 ...

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 ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135.70K/yr

Analyze requirements from the business and provide solutions or guidance for solutions Work with senior data analyst to establish data governance Non-Essential Duties and Responsibilities Perform ...

Collaborate with senior IT leadership to integrate data analytics into the broader IT strategy and initiatives. * Team Management and Development : Oversee the recruitment, training, and development ...

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Weekend Senior Data Analyst information

See Fort Wayne, IN salary details

$54.3K

$97.9K

$133.7K

How much do weekend senior data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend senior data analyst in Fort Wayne, IN is $97,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $107,100.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Senior Data Analyst vs Weekend Data Analyst?

AspectWeekend Senior Data AnalystWeekend Data Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; 3+ years experienceBachelor's degree in relevant field; 1-2 years experience
Work EnvironmentCorporate offices, consulting firms, or financial institutionsRetail, healthcare, or small business settings
Employer & Industry UsageUsed in industries requiring advanced data insights and leadershipCommon in industries with routine data tasks and reporting
Common Search & Comparison IntentUnderstanding senior-level responsibilities and qualificationsLooking for entry to mid-level weekend data roles

The Weekend Senior Data Analyst typically requires more experience and advanced skills, focusing on complex data analysis and leadership. The Weekend Data Analyst role is more suitable for those with less experience, handling routine data tasks. Both roles are common in different industry settings, with the senior position demanding higher credentials and expertise.

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

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Job description

Data Analyst

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 and 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.