Data Analyst
Data Analyst
Harness Real Estate & Construction, Ltd.
Cleveland, OH
See who Harness Real Estate & Construction, Ltd. has hired for this role
Summary
The Data Analyst will be responsible for interpreting various forms of data and presenting it in a useful and easy-to-understand manner. Candidates must be analytically skilled and able to collect, interpret, and analyze data. Activities may include pricing/product development, product management, actuarial administration, valuation/financial reporting, modeling, reinsurance, management information, and rating systems.
Essential Duties And Responsibilities
The Data Analyst will be responsible for interpreting various forms of data and presenting it in a useful and easy-to-understand manner. Candidates must be analytically skilled and able to collect, interpret, and analyze data. Activities may include pricing/product development, product management, actuarial administration, valuation/financial reporting, modeling, reinsurance, management information, and rating systems.
Essential Duties And Responsibilities
- Ensures work is completed according to applicable regulation and actuarial standards of practice.
- Involved in developing, modifying, and executing company policies that affect immediate operations and/or have company-wide effect.
- Works on issues where analysis of situations or data requires in-depth knowledge of organizational objectives.
- Implements strategic policies when selecting methods, techniques, and evaluation criteria for obtaining results.
- Establishes and ensures adherence to budgets, schedules, work plans, and performance requirements.
- Regularly interacts with senior management or executives on matters concerning several functional areas, divisions, and/or clients. Requires the ability to change the thinking of, or gain acceptance from, others in sensitive situations.
- Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets.
- Prepare reports for management stating trends, patterns, and predictions using relevant data.
- Interpret data and analyze results using statistical techniques.
- Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
- Acquire data and maintain databases, such as via data entry.
- Organization and prioritization.
- Attention to detail and accuracy.
- Accountability.
- Communication skills.
- Information management skills.
- Problem solving skills and the ability to multitask.
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Seniority level
Entry level -
Employment type
Full-time -
Job function
Information Technology -
Industries
Construction
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