Business Data Analyst

Job Title: Business Data Analyst Location: Plano, TX Duration: 5+ Months Pay Range: $40.00 - $42.00 per hour on W2 Hybrid Schedule: Mostly remote but some days they will have to go into the office Position Overview Client is seeking a talented and motivated Data Analyst with advanced Power BI and SQL expertise to join our dynamic team in Plano, Texas. In this hybrid role, you will play a key part in driving data-informed decision-making and delivering actionable insights to support business strategies. You will collaborate closely with cross-functional teams, stakeholders, and leadership to ensure our data processes and outputs consistently add value and drive the success of core projects. Key Responsibilities Data Analysis & Insights: Take ownership of data analysis within your designated project scopes, delivering clear, accurate, and impactful insights in line with project requirements and deadlines. Stakeholder Collaboration: Work directly with business stakeholders and project teams to understand data needs, define metrics, and translate business requirements into analytical solutions. Reporting & Visualization: Design, develop, and maintain dashboards and reports primarily using Power BI and Tableau, ensuring information is presentable and easily understandable. SQL Query Development: Write, optimize, and maintain complex SQL queries to extract, manipulate, and analyze data from various database sources. Data Validation & Quality Assurance: Ensure the reliability, consistency, and accuracy of all data outputs by implementing validation procedures and regular data integrity checks. Process Improvement: Continuously identify opportunities to enhance reporting processes, automate repetitive tasks, and improve data quality. Knowledge Sharing: Convey technical information and data insights to both technical and non-technical audiences, enabling transparent communication throughout the organization. Support New Business Opportunities: Contribute to business growth by providing data-driven recommendations, supporting strategy development, and identifying market trends. Documentation: Maintain thorough documentation of data sources, methodologies, and reporting processes. Education Bachelor’s degree in any discipline required; a degree in a quantitative field such as Computer Science, Mathematics, Statistics, or a related field is preferred. Experience Requirements Minimum of 3 years of hands‑on experience in data analysis, working with real-world data in a business environment. Previous experience as a contractor or in a part‑time data‑focused position is a plus. Proven record of delivering actionable insights to stakeholders. Technical Skills Proven proficiency in Power BI and Tableau for developing interactive dashboards and visualizations. Strong command of SQL, with experience writing and optimizing complex queries for data extraction and analysis. Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. Understanding of data modeling concepts and ETL processes is a plus. Experience working with large datasets and various database systems. Communication & Interpersonal Skills Excellent verbal and written communication skills, with the ability to clearly articulate complex technical insights to non-technical stakeholders. Strong problem‑solving and analytical thinking abilities. Collaborative mindset with a focus on teamwork and stakeholder satisfaction. EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time. #J-18808-Ljbffr