3 results for Business Intelligence Analyst in Dallas, TX

Business Intelligence (BI) Engineer We are in search of a Business Intelligence (BI) Engineer to join our team in the manufacturing industry located in Irving, Texas. The BI Engineer will be tasked with managing and optimizing our information systems, working extensively with BusinessObjects Technologies, Cognos Business Intelligence, and Dax Technologies among others. Responsibilities: • Utilizing BusinessObjects Technologies to design and implement effective business intelligence systems. • Leveraging Cognos Business Intelligence to gather and interpret data from multiple sources. • Employing Dax Technologies to build and maintain BI solutions. • Using Informatica to extract, transform, and load data into the BI system. • Implementing Maps API to provide detailed geographic data. • Conducting comprehensive analytics to identify trends, patterns, and insights. • Developing and managing BI solutions with a focus on Business Intelligence Technologies. • Preparing detailed Business Requirement Documents to guide the BI development process. • Collaborating with Business Users to understand their needs and develop suitable BI solutions. • Ensuring the accuracy and reliability of all BI solutions and data reports.

Senior Valuation Analyst We are in the detail-oriented services industry, based in Dallas, Texas, United States, and we're seeking a dedicated Senior Valuation Analyst to join our team. The role involves analyzing financials, tax returns, and other operational data of dental practices to perform financial analysis and estimate values. Responsibilities: • Engage in regular communication with clients to collect pertinent financial details• Conduct thorough financial analysis and valuation of dental practices by interpreting financials, tax returns, and other operational data• Detect patterns and irregularities while reviewing financial data• Develop novel strategies for generating deliverables that answer client queries• Collaborate with our team to provide financial advice or viewpoints based on the conducted financial analysis• Evaluate the economic performance of the clients’ company and the dental industry to produce a comprehensive analysis for use in valuation reports and other written work products• Participate in ad-hoc projects with the team as required• Manage client inquiries and questions in a prompt and detail-oriented manner• Utilize skills in Business Systems, Confluence, CRM, Crystal Reports, Data Mining Techniques, About Time, Accounting Functions, Auditing, Budget Processes, and Capital Management to perform job responsibilities effectively.

Data Analytics Engineer We are on the lookout for an experienced Data Analytics Engineer to join our team based in Mesquite, Texas. In this role, you will be pivotal in transforming intricate employee data into digestible insights to aid in strategic HR decision-making, ultimately driving our organization's success. Responsibilities: • Accurately gather, clean, and integrate large-scale employee data from various sources like HRIS, surveys, and payroll using data management tools. • Apply techniques such as regression analysis, predictive modeling, and machine learning to identify workforce trends including attrition, performance, and training needs. • Interpret data findings to support various HR functions such as talent acquisition, compensation, workforce planning, learning and development, and retention strategies. • Establish key performance indicators (KPIs) to evaluate HR initiatives and measure organizational progress. • Collaborate with HR and IT departments to develop a comprehensive data warehouse and ensure analytics are aligned with business objectives. • Prepare reports and present insights to leadership, serving as a subject matter expert in people analytics. • Identify data integrity issues and recommend corrective actions to support HR process optimization. • Stay updated on best practices in HR analytics and contribute to continuous improvement initiatives. • Utilize data visualization tools like Tableau, Power BI, matplotlib, ggplot, d3.js, and programming languages like Python, R, SQL, DAX. • Work independently and with cross-functional teams to enhance data-driven decision-making.