Jennifer Lord Email and Phone Number

- Conduct thorough analysis of complex financial and banking data to identify trends, patterns, and insights. Utilize statistical models and techniques to interpret data and draw meaningful conclusions.- Develop and maintain sophisticated data models to organize and structure large datasets. Create visualizations, dashboards, and reports to effectively communicate data-driven insights to stakeholders.- Gather and extract data from various sources, including databases, data warehouses, and external APIs. Ensure data integrity, accuracy, and consistency while handling large volumes of data.- Implement data quality processes and ensure adherence to data governance policies. Identify and resolve data quality issues, perform data cleansing, and develop data validation rules.- Generate regular reports and presentations to provide insights and recommendations to management and stakeholders. Document methodologies, assumptions, and outcomes to ensure transparency and repeatability of analyses.

- Design and develop efficient and scalable databases to store and manage various types of manufacturing data, such as production records, inventory information, quality control data, and customer details.- Optimize database performance by analyzing query execution plans, identifying bottlenecks, and implementing indexing, partitioning, and other performance-enhancing techniques. Monitor database performance and make necessary adjustments to ensure optimal data access and retrieval.- Design and implement data integration processes, including Extract, Transform, Load (ETL) workflows, to consolidate data from multiple sources into the database. Ensure data integrity and consistency during the extraction, transformation, and loading processes.- Create and maintain comprehensive documentation for database schemas, data models, and development processes. Document database-related procedures, guidelines, and best practices to facilitate knowledge sharing and ensure consistency across the database development team.

- Develop and implement a comprehensive data strategy aligned with the company's goals and objectives. Identify opportunities to leverage data and analytics to drive business insights, operational efficiency, and customer satisfaction.- Manage a team of data analysts and data scientists. Set performance goals, provide coaching and mentorship, and foster a culture of innovation, collaboration, and continuous learning within the team.- Establish and enforce data governance policies and standards to ensure data integrity, quality, and security. Implement data management processes, including data cleansing, data normalization, and data lifecycle management.- Lead data analysis initiatives to derive actionable insights from complex transportation datasets. Utilize statistical analysis, predictive modeling, and machine learning techniques to uncover patterns, trends, and correlations that drive operational improvements and strategic decision-making.- Design and develop dashboards, reports, and data visualizations to enable data-driven decision-making across the organization. Ensure timely and accurate delivery of key performance indicators (KPIs) and operational metrics to stakeholders at different levels.- Stay abreast of industry trends, emerging technologies, and best practices in data analytics and transportation. Evaluate and implement new tools, technologies, and methodologies to improve data analysis capabilities and drive innovation within the organization.

- Collaborate with business stakeholders to understand their reporting and analytical needs. Identify data sources, gather requirements, and define key performance indicators (KPIs) and metrics to be tracked.- Design and develop data models and schemas to support the organization's reporting and analytical requirements. Ensure efficient data storage, data integration, and data consistency across multiple data sources.- Design and implement Extract, Transform, Load (ETL) processes to extract data from various sources, transform it into a suitable format, and load it into the data warehouse or data mart. Ensure data quality and integrity during the ETL process.- Develop interactive reports, dashboards, and visualizations using business intelligence tools (e.g., Tableau, Power BI) to provide insights into key business metrics and performance indicators. Create user-friendly interfaces for self-service analytics.- Integrate data from different systems and sources, including ERP, CRM, and operational databases, to provide a holistic view of the organization's data. Automate data refresh and report generation processes to ensure timely and accurate information delivery. - Identify and implement optimization techniques to improve the performance of reports and queries. Optimize data retrieval, aggregation, and calculation processes to ensure efficient data analysis and visualization.- Work closely with business users, analysts, and stakeholders to understand their reporting needs and provide technical expertise. Collaborate with cross-functional teams to ensure alignment between business requirements and technical solutions.- Troubleshoot and resolve issues related to data integration, data quality, and report performance. Provide support and assistance to end users for report generation, data analysis, and tool usage.

- Design, code, test, and maintain software applications and systems that cater to the specific needs of the transportation industry. Develop scalable, reliable, and high-performance software solutions to address business requirements.- Collaborate with stakeholders, including business analysts and end-users, to gather and analyze software requirements. Understand the unique challenges and complexities of the transportation industry to design effective solutions.- Design and implement the architecture of transportation software applications, considering factors such as data integration, performance, security, and scalability. Ensure adherence to industry best practices and coding standards.- Integrate software applications with existing systems, such as fleet management systems, logistics platforms, or vehicle tracking systems. Ensure seamless data flow and interoperability between different software components. - Design and develop APIs (Application Programming Interfaces) to enable seamless communication between various transportation systems and software applications. Implement data exchange protocols and standards to facilitate integration with external systems and partners.- Design and optimize databases to store and retrieve transportation-related data efficiently. Ensure data integrity, implement data normalization, and develop data management strategies to support data-driven decision-making.- Develop and execute software testing plans, including unit testing, integration testing, and performance testing, to ensure the reliability and stability of transportation software applications. Identify and fix bugs and issues in a timely manner.- Provide ongoing maintenance and support for transportation software applications, including bug fixes, enhancements, and upgrades. Troubleshoot issues reported by users and ensure prompt resolution to minimize disruptions.

Worked closely with the Quality Assurance department producing data transformation and executive level business reports using Oracle Business Intelligence Enterprise Edition (OBIEE). Using different testing algorithms to find similarities in faulty coils installed in air handlers, our team was able to discover findings that would later reduce faults and warranty claims. Architected and developed the company's pricing calculator application for manufacturing goods using a combination of server programming logic and VBA.

Skillfully managed a wide range of office tasks including incoming calls, greeting students and visitors as needed, and organizing any correspondences for the Secretary and Dean. Additional duties included recording information as needed and managing filing systems. Meet with the Dean to identify updates for the College of Business website. Design sample website pages and present those designs to the committee. Once designs are approved, implement the updates on the University of Arkansas - Fort Smith College of Business webpage.