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Fidelitytechsolutions is seeking a data analyst to work with data surfaced in Google Analytics and Google AdWords dashboards, transforming data into actionable insights. You will query relational databases, mine data from multiple sources, and create dashboards to help stakeholders make informed decisions.
The role requires deep knowledge of DB systems and strong skills in SQL, Python or R, Excel, and data visualization tools such as Tableau or Qlik.
These job descriptions in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees and/or contractor will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently.
The company is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
The data analyst will primarily work with data and information surfaced in Google Analytics and Google AdWords dashboards. While this role must have an in depth knowledge of database systems the primary responsibility is look at data analytically; to help interpret data trends, and create dashboards that will allow business and technical stakeholders to make effective decisions.
Query data systems and databases.
Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Demonstrating the significance of data trends that impact both their organization and industry.
Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
Creating appropriate documentation that allows stakeholders to understand the steps of data analysis process to duplicate or replicate the analysis if necessary.
Technical skills include knowledge of database languages such as SQL, R, or Python; spreadsheet tools such as Microsoft Excel or Google Sheets; and data visualization software such as Tableau or Qlik. Mathematical and statistical skills are also valuable to help gather, measure, organize, and analyze data.
The essential functions include, but are not limited to the following: