Description: PDS Tech, Inc. is seeking a candidate for the Business Data Analyst- Intermediate position located in Austin, TX. Please contact Rosie Titus @ 512-410-6790 or email resume to firstname.lastname@example.org for consideration.
The Operations team is looking for a dynamic and motivated candidate for the role of the Decision Support Analyst. The role is an opportunity for a self-driven individual to utilize his or her business intelligence skills, gain business acumen, acquire process knowledge and apply analytical skills to deliver creative, value-added information delivery solutions to the Operations team. The candidate must have experience developing reports using tools such as Business Objects. The Analyst needs to be adept in the use of Excel. Knowledge and hands on experience using Tableau and SQL are a plus. Ability to use statistical tools and techniques to identify process gaps, root cause issues and drive data driven decision making is desirable. Candidate should have the ability to crisply articulate findings and a passion for driving excellence. Must be able to work in a fast-paced environment, perform effectively under dynamic conditions such as directional changes, tight deadlines and limited resources. Organizational skills and the ability to multi-task are essential. An understanding of key reporting concepts such as data sources & relationships, reporting tools and basic systems knowledge is required. Ability to translate technical content for non-technical audiences and vice-versa would be beneficial. A positive attitude and the ability to communicate and negotiate are necessary to be successful in this role. Responsible for data analysis, validation, cleansing, collection and reporting. Extract and analyze data from various sources, including databases, manual files, and external websites. Respond to data inquiries from various groups within an organization. Create and publish regularly scheduled and/or ad hoc reports as needed. Document reporting requirements and process and validate data components as required. Experience with relational databases and knowledge of query tools and/or statistical software required. Strong analytical and organizational skills required. Must possess expert level knowledge of MS Excel.