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Internship Data Analyst Opt Jobs Near Me

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data. * Entry-level analytical and communication skills ...

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How much do internship data analyst opt jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for internship data analyst opt in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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Internship Data Analyst Opt jobs near you
A map of the United States highlighting the number of Internship Data Analyst Opt job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Internship Data Analyst Opt job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Analyst

Central Mutual Insurance Company

Dublin, OH • On-site

Full-time

Medical, Retirement

Re-posted 8 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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