for the Data & Analytics Specialist I position
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Data & Analytics Specialist I
Erie - Erie Insurance
Assesses basic information needs, designs studies, analyzes results and delivers key findings in support of business leaders. Plans and manages data and analytics projects of low to moderate complexity and impact to the business.
Please note, Candidates with above minimum qualifications may be considered for a Data & Analytics Specialist II (D10) or Senior level (D12). Number of years and scope of experience will determine level.
Duties and Responsibilities
Ability To Learn And Follow Procedures
Ability To Maintain Composure
Ability to Manage Complexity
Developing And Maintaining Relationships
Information Management Skills
Planning And Organizing
The minimum education and experience requirements are as follows: Bachelor's degree with one year of experience in research, analysis, strategic planning, financial analysis, information systems or related field; or Associate degree and three years of experience in research, analysis, strategic planning, financial analysis, information systems or related field; or High school diploma or GED with five years of experience in research, analysis, strategic planning, financial analysis, information systems or related field. Insurance industry experience preferred. An understanding of analysis and research required. Basic understanding of dataset, programming, querying and reporting design required. Basic understanding of SAS programming preferred. Knowledge of statistical and financial analysis and quantitative techniques preferred. Project management experience preferred. Proficiency with word processing, spreadsheet, database, presentation and flow-charting software required. Proficiency with research-specific, statistical report writing software preferred.
Lifting 0-20 lbs; Occasional (<20>
Lifting 20-50 lbs; Occasional (<20>
Lifting Over 50 lbs; Occasional (<20>
Pushing/Pulling; Occasional (<20>
Manual Keying/Data Entry; Often (20-50%)
Nearest Major Market: Erie
Job Segment: Database, Developer, Information Systems, Data Warehouse, Project Manager, Technology
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