The Data Analyst is responsible for collecting data, typically in numbers, and translating those numbers into plain English for upper management to understand. Every business collects data anywhere from sales figures to costs including market research, logistics, and even transportation.
The Data Analysts job is to analyze these numbers, figures, costs and use that information to help the company make better business decisions whether that means cutting costs, hiring more sales members, or re-branding to market towards a different market segment to increase revenue. Without a Data Analyst, a business would not be able to understand what is successful and what is unsuccessful moving forward.
Data Analysts must work with large amounts of data, which includes facts, figures, and numbers and they must be able to read, review, and translate that data easily for others to understand its meaning. This is a very specialized job and requires a lot of education on how to read data. Another important skill a Data Analyst must have is communication. Since their findings must be translated to upper management, they should be able to communicate clear and concisely to achieve the best results. This includes writing down any results and presenting the research as well. Along with reading, writing, and analyzing, the analyst should be a critical thinker with extremely astute match skills.
The pay structure of a Data Analyst depends on experience and what field they may be in including Financial Analysts, Market Research Analysts and Operations Research Analysts. Financial analyst can make on average around $70,000 annually, Market Research Analysts can make on average around $60,000 annually, and Operations Research Analysts can make on average around $68,000 annually.
If you are applying for a Data Analyst position, your resume should include the amount of experience you have in years, tasks, and companies. Your experience will reflect the amount of work you have done and the scale of data you have analyzed. Be sure to also include what sort of data you had to analyze including sales figures, costs the company incurs, and market research information. With this information explain how your data findings helped make the company run smoother and adjust any problems that may have been occurring. Lastly, always include any team work you may have done or any presentations, meetings, or papers you have to present to upper management or even shareholders.
Data Analyst Resume Builder Power Words: data analyst, analyze, data, figures, sales, market research, research, meetings, market, manage, develop, and revenue.
Data Analyst Resume Sample
- Communicated effectively in both a verbal and written manner to client and offshore team
- Completed documentation on all assigned systems and databases, including business rules, logic, and processes
- Created Test data and Test Cases documentation for regression and performance
- Designed, built and implemented relational databases
- Determined changes in physical database by studying project requirements
- Developed intermediate business knowledge of the functional area and processed to understand the application of data information to support business function
- Facilitated gathering moderately complex business requirements by defining the business problem
- Facilitated the monthly Opportunities for Improvement (OFI) meeting
- Identified Opportunities for Improvement (OFI), recommended and implemented, as applicable, processed improvement plans in collaboration with identified departments
- Identified and addressed outliers in an efficient and professional manner following a predetermined protocol
- Identified data requirements and isolated data elements
- Leveraged a basic understanding of multiple data structures and sources
- Maintained and assisted in the development of moderately complex business solutions, which included data, reporting, business intelligence/analytics
- Maintained data dictionary by revising and entering definitions
- Maintained direct, timely and appropriate communication with clients
- Supported data governance, integrity, quality and audit functions
- Supported the implementation of technical data solutions and standards
- Utilized and prepared analysis reports summarizing Opportunities for Improvements (OFIs)
- Worked closely with other members of the database group
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