Overview of the Position
The Data Analyst will be responsible for designing, developing, and implementing analytical products in the organization. The products will include standard reporting, custom reporting, data files for import-export, and simulation models. The Data Analyst will collaborate with employees from other departments to produce relevant reports that will provide the management with valuable insights for all functional areas of the business (“ Serve You” 2018) . The data will support continuous business improvement with current practices and product innovation endeavors while also aligning streamlining core organizational objectives with consumer trends.
Responsibilities and Duties
Design, create and execute standard business reports, custom reports, and process all data files using IBM’s System I and MS SQL Server data querying tools and provide to final users (“ Serve You” 2018 ).
Delegate your assignment to our experts and they will do the rest.
Use statistical software to interpret and analyze data
Analyze, maintain, and update the company data management system and its reporting suites.
Conduct data validation to ensure that data integrity of the reports and files produced (“ Serve You” 2018 ).
Spearhead proactive and reactive analysis and interpretation of reports to support business strategy and planning.
Ensure that audit reports are delivered correctly and on time to reflect organizational requirements.
Work with the accounting department to communicate and meet with customers to deliver and present reports.
Work with customers to establish eligibility data exchange and design data mapping specifications for custom file blueprints. This will include testing data files for eligibility with vendors, defining profiles, and authenticating reports (“ Serve You” 2018 ).
Work closely with internal clients on custom data reporting and file requesting procedures to define requirements and conduct data testing.
Any other duties and responsibilities as may be required from time to time for the seamless running of the organization (“ Serve You” 2018 ).
Qualifications Required
Knowledge Experience and Skills Requirements
At least three years in project support or data orientated field (“ Serve You” 2018 ).
Excellent skills in Microsoft Office, especially Excel. The candidate must be conversant with MS Excel's formulas, data capture, and pivot tables. They must also demonstrate an in-depth knowledge of integrated business and accounting systems (“ Serve You” 2018 ).
Skills and knowledge of data profiling and proven experience in data mining, collation, and dashboard creation
Topnotch professional written and spoken communication skills with the capacity to work with all levels within the organization
Have the capacity to work and manipulate relational databases
Team mentality and ability to manage, prioritize, and honor deadlines (“ Serve You” 2018 ).
Desirable
Bachelor of Science degree in Information Technology, Statistics, or Mathematics or equivalent combination of education and experience
At least three-year experience working with statistical software such as SPSS, MATLAB, SAS, and STATA (“ Serve You” 2018 ).
Working experience of business intelligence software such as Power BI and Tableau will be an added advantage
Criteria Used to Determine the Above Duties, Responsibilities, and Qualifications
In developing the Data Analyst job description, the primary consideration was the organization's internal needs and dynamics in the external business environment. Currently, the organization is churning out vast amounts of data from different functional units, especially the marketing and sales department ( Erevelles, Fukawa & Swayne, 2016 ). The enormous volumes of raw data coupled with the contemporary trends of business data analytics, inform the need for an experienced data analyst. Such an expert will help the company compete favorably with its peers in the industry. The first step pertained to evaluating the completion in the industry, a process that involved researching what other competitors were doing to remain ahead of the organization ( Erevelles et al. 2016 ). The second step involved comparing their strategies with those of the company. From this analysis, the decision to hire an experienced Data Analyst was arrived at. Research on the critical competencies of Data Analysts was then conducted.
The Fair Labor Standards Act (FLSA) and the National Labor Relations Act (NLRA) were the laws consulted in the development of this job description. The FLSA was useful in classifying a candidate as exempt or non-exempt. It will also be instrumental in negotiating for wages and benefits. The NLRA was used to tailor the responsibilities such that the candidate to be hired will be considered as a supervisor ( Diana, 2017 ). As a supervisor, the employee will have the authority to promote, assign, and direct other employees under their scope.
References
Diana, M. (2017). Preparing Useful and Legally Compliant Job Descriptions [Ebook] (1st ed.). Morristown: Ogletree Deakins. Retrieved from www.njbia.org/wp-content/uploads/2017/03/Preparing-Job-Descriptions.pdf
Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big Data consumer analytics and the transformation of marketing. Journal of Business Research , 69 (2), 897-904.
Serve You. (2018). Data Analyst Job Description [Ebook] (1st ed.). Retrieved from www.serve-you-rx.com/wp-content/uploads/2018/05/Data-Analyst-Job-Description-RV-052318.pdf
