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This is entrance level professional data management and analysis work in support of a City division or department.
An employee in this class performs data management and analysis activities including research, regulatory reporting, problem-solving, and performance monitoring in order to increase efficiency and effectiveness of City operations.
Works under the general direction of a senior staff member with opportunity to exercise independent judgment in carrying out assignments. Work is reviewed for conformance to policy and professional standards.
Works individually or as a team member performing Business Intelligence functions such as collecting, organizing and analyzing financial and operational data from various information systems and operational areas within the City to facilitate management reporting and support management decision-making. Assesses data needs and identifies opportunities for more efficient processes and techniques. Assesses department data and data collection processes and recommends improvements to the data management system. Assists in designing or integrating software applications when incorporating new processes or streamlining existing tasks/processes. Suggests methods of collecting and reporting of data. Assists in developing internal and external dashboards, reports, and other items that operationalize data and explain issues and performance in ways that are easily understandable and actionable. Provides administrative, operational, and technical support by compiling and analyzing data relating to the provision of services. Performs validation and testing of models to ensure accuracy and completeness of data. Tracks operational metrics and key performance indicators (KPIs). Applies various analytical, statistical, and business analysis methods to data to increase understanding of factors that influence service, evaluate department effectiveness, support budget monitoring, and contribute to data quality. Creates compelling and intuitive data visualizations to aid in the comprehension of complex topics. Presents information verbally and in writing to a broad range of stakeholders. Champions the use of data to drive decisions with other divisions and agencies. Performs research and other special projects as directed. Attends training and actively pursues professional development to keep abreast of best practices associated with data science. Assists in developing, administering, and maintaining end-user training and user documentation. Performs data entry accurately and efficiently. Drives to various locations for meetings and training. Performs related work as required.
Graduation from an accredited college or university with a baccalaureate degree in statistics, mathematics, data analytics, computer science or comparable data analytic degree. Possession of a valid State of Ohio driver's license.
Some knowledge of the principles of management involved in strategic planning, resource allocation, and the coordination of work. Some knowledge of City organization, policies, and procedures. Knowledge of quantitative, qualitative, and statistical research methods. Knowledge of data management best practices including security and metadata guidelines. Knowledge of the structure and content of the English language including spelling, composition, and grammar.
Skill in conducting research and data analysis. Skill in the use of personal computers with standard and customized business software. Skill in applying logic and reasoning. Ability to interact with employees at all levels of the organization. Ability to prepare and present complex technical reports. Ability to effectively communicate verbally and in writing. Ability to explain complex data concepts in simple terms. Ability to develop and administer written and oral training on technical matters. Ability to anticipate, identify, and define complex problems and review related information to develop and evaluate options and implement solutions. Ability to effectively utilize inductive and deductive reasoning. Ability to type a minimum of 30 correct words per minute. Ability to safely operate a motor vehicle. List of essential functions available upon request.
The selection process will consist of an assessment interview with credit for education. Candidates must pass the assessment interview in order to receive credit for education. TEST WEIGHTS: Assessment Interview 80%, Education 20%.
Candidates must meet the qualifications and requirements listed in the announcement at the time of examination and at the time of appointment.
NOTE: The assessment interview may be suspended if shown to be impractical because of an insufficient number of qualified candidates. The candidates will then be ranked in a standard manner based on 80% for qualifying and 20% for education.Full Time
$58k-75k (estimate)
05/24/2024
06/11/2024
The following is the career advancement route for Data Analyst I positions, which can be used as a reference in future career path planning. As a Data Analyst I, it can be promoted into senior positions as a Data Analyst II that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst I. You can explore the career advancement for a Data Analyst I below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Step 3: View the best colleges and universities for Data Analyst.