• Design and implement a scalable, sustainable operating model focused on efficiency • Reduce the workload of the commercial team, ensuring they can focus on higher-value activities • Improve the customer experience through simplification, standardization, and scaling of operational processes • Support the transformation of the service model, ensuring integration between processes, people, and technology

Title: Data Investigator #2793 Location: Dallas, Texas Job Description: Data Investigator (Python, SQL, Tableau Focus) Contract Length: 12 months + potential extension Location: Dallas, Texas – Hybrid (3 days onsite, downtown Dallas) Our client is seeking a Data Investigator to support their Advanced Metering System (AMS) operations through advanced data analysis, troubleshooting, and insight generation. The ideal candidate will leverage Python, SQL, and Tableau to query, clean, and visualize complex datasets—identifying patterns, correlations, and root causes that drive operational improvements and business decisions. This position involves working with meter asset, communication, energy, event, and customer service data to deliver data-driven insights and performance reporting. You’ll collaborate with cross-functional teams to troubleshoot data discrepancies, enhance data pipelines, and develop dashboards that bring clarity to large-scale operational systems. Qualifications - Associate’s, Bachelor’s, or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related field. - 7+ years of professional experience in data analysis, data investigation, or business analytics. - Strong proficiency in Python, including libraries such as pandas, NumPy, matplotlib, and seaborn for data analysis and visualization. - Advanced SQL skills for querying, joining, and troubleshooting data across multiple relational databases. - Proven experience building interactive dashboards and reports in Tableau (Power BI experience is a plus). - Demonstrated ability to identify trends, correlations, and root causes within large datasets. - Familiarity with statistical techniques and pattern recognition methods for anomaly detection or performance monitoring. - Experience in data troubleshooting, pipeline validation, and data quality improvement. - Excellent problem-solving skills and the ability to communicate complex analytical findings to non-technical audiences. - Experience with Agile methodologies, collaborative tools, and process documentation. Key Responsibilities - Use Python for data extraction, troubleshooting, cleaning, and process automation. - Write and optimize SQL queries across multiple databases to retrieve, manipulate, and validate AMS-related data. - Develop and maintain Tableau dashboards and visualizations to surface key performance trends, correlations, and anomalies. - Identify and interpret patterns and relationships within large, complex datasets to support root-cause analysis and operational improvements. - Analyze meter processes, system synchronization, and data quality between systems such as CIS, AMS, and mobile workforce platforms. - Collaborate with stakeholders to refine data collection and improve the accuracy and reliability of reporting. - Troubleshoot and validate data issues, recommending process improvements or corrective actions. - Document analytical methodologies, SQL logic, and Python workflows for knowledge sharing and reproducibility. - Contribute to continuous improvement initiatives through automation, data integration, and enhanced analytical capability. Genius Road, LLC is proud to be a Certified Women’s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.

• Oversees a team of business analysts, ensuring the delivery of accurate and timely data insights • Provides oversight to key stakeholders regarding data-centric activities, tools, and technologies • Recruits and manages a team of data analysts, acting as a coach and mentor • Manages Decision Science projects and adhoc requests • Ensures timely and accurate submission of required data reporting • Collaborates with technology leaders, business partners, and peer groups • Creates and builds dashboards and automated reporting solutions • Assists in data migration, conversion, and data validation activities

• Gather, organize, and document program, operational, and business requirements from stakeholders across the ecosystem. • Develop and maintain SOPs, workflows, process maps, onboarding materials, and PMO templates. • Standardize documentation practices across multiple entities and project teams. • Validate data inputs before information is distributed to program leadership. • Ensure consistency and accuracy across dashboards, reports, metrics, and status updates. • Maintain data dictionaries and reporting standards to ensure common definitions across all stakeholders. • Support Program Managers and Project Managers with reporting, documentation, meeting preparation, and analysis. • Identify process inefficiencies, reporting challenges, and documentation gaps.