Manager, Business Intelligence

Tuesday, February 20, 2024 PRINCIPAL RESPONSIBILITIESProject Leadership and Strategic Planning Lead discussions with key stakeholders to define project scopes, requirements, and strategic objectives. Orchestrate the execution plan of major Business Intelligence and Data Science projects, ensuring alignment with organizational goals. Oversee the implementation and maintenance of automations, data analytics, and reporting services. Communication and Reporting Present updates to leadership, offering comprehensive insights into project progress, key milestones, and solution releases. Provide data-driven insights and actionable recommendations through data visualization and compelling data storytelling presentations. Cross-Functional Collaboration Coordinate cross-functional teams from different departments to achieve alignment and integration across the organization. Deploy Data Governance strategies to ensure the integrity and security of data assets. Software Implementation & Integration Manage the implementation and integration of transformative software, including MS SQL Server, Tableau, Magento, and various other SaaS platforms. Drive operational efficiency, revenue growth, and user satisfaction through strategic software deployments. Data Management Develop and maintain data pipelines, ETL processes, and data integrations using Microsoft SQL Server (SSIS). Perform database administration tasks, including monitoring, optimizing, and ensuring data integrity within the Microsoft SQL Server environment. Integrate data from internal systems, third-party data providers, and other platforms to build a comprehensive data pipeline. Process and transform data using Python to automate tasks and data pipeline. Ensure data quality and consistency through data profiling, cleansing, and validation techniques. Data Analytics Take initiatives on data mining strategies to generate insights and actionable recommendations for data-driven decision making. Implement MLOps framework to operationalize machine learning models for various business needs (forecast, segmentation etc.) KNOWLEDGE SKILLS AND ABILITIES 5+ years of experience in Business Intelligence and Data Analytics. Experience in leading Digital Transformation initiatives, including Legacy System Integration, Database Migration, and Vendor Data Portal Integration. Strong proficiency in Microsoft SQL Server, including Database Administration, T-SQL, ETL (SSIS), SSAS (OLAP Cubes) and data modeling. Experience in Managing, maintaining, implementing best practices, and troubleshooting of Databases, Workflow (Data Pipeline, Agent Jobs), Business Analytics Tools, and Reporting services (Reports, Dashboard). Participating in planning and running of large sized Data Consolidation, Business Analytics and reporting environments. Leading full-cycle technical implementation/upgrade projects including large/medium sized successful systems deployment/rollouts (gathering, technical feasibility, cost analysis, scheduling, stakeholder consultations and communications, etc.). Use Data Visualization BI Tools like Tableau or Power BI to develop visually appealing and interactive dashboards and reports. Design reports/dashboard/charts to show trends in customer purchase and evaluate changes in the online retail market. Excellent communication and collaboration abilities to work effectively with cross-functional teams. Self-motivated with the ability to work independently and manage multiple projects simultaneously. Strong organizational and time management skills to meet project deadlines. Gathering, analyzing, and documenting user requirements. Creating and contributing meaningfully to technical and business requirements and artifacts needed for both technical and business-driven projects/initiatives. Developing well-structured and clear technical communications, presentations, and reference artifacts that are audience-appropriate where audiences range from business-centric groups to technical groups (e.g. analysis/comparisons of different approaches, tools, methodology; introduction/advocating for new data sources/tools; continuous improvement roadmaps; data architecture diagrams; data dictionaries) Advising/implementing processes/tools to streamline support and improve overall end users' experience. Expertise and Experience in Data Science (Machine Learning, MLOps) is preferred. Microsoft SQL Server relevant certificates is considered as a strong asset. Note: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.The organization offers an attractive compensation package that encompasses a competitive salary and excellent benefits. Conditions of Employment: It is the candidate's sole responsibility to obtain any work permits/visas or other authorizations which may be required to legally work in Canada prior to commencing employment. Equal Opportunity Employer: LG Electronics Canada, Inc. is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding work environment which highlights employees' unique contributions to our company's success. As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities in which we live and serve. LG Electronics Canada, Inc., will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform LG's Human Resources staff of the nature of any accommodation(s) that you may require in respect of any materials or processes used to ensure your equal participation. LG Electronics Canada, Inc. thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

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