Position: Data Analyst/PowerBI
Location: Dallas, TX - hybrid
Duration: 12 months
We are looking for a Data Analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and databases
Your responsibilities:
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Use statistical methods to analyze data and generate useful business report
Identify and recommend new ways to save money by streamlining business processes
Use data to create models that depict trends in the customer base and the consumer population as a whole
Work with departmental managers to outline the specific data needs for each business method analysis project
Evaluating changes and updates to source production systems.
Training end users on new reports and dashboards.
Providing technical expertise on data storage structures, data mining, and data cleansing.
Supporting initiatives for data integrity and normalization.
Skill sets/Experience:
Excellent communication skills handling business stake holders
Strong experience with Power BI (Visuals, Semantic Modeling, DAX)
Strong SQL and logical data modeling experience
Proven working experience as a data analyst or business data analyst
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge and experience with reporting packages
(Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy