Sr Business Intelligence Analyst

Overview

Design, develop, and manage BI solutions and data workflows

Key Responsibilities

• data ingestion
• power bi
• data quality
• etl development
• dashboard design
• api automation

Tasks

-Design and develop applications and systems that ingest, cleanse and normalize diverse datasets; and automates process workflows, system notifications, and structured data driven communications. -Configuration and administration of the Power BI workspace and published App, including structure, roles and access rights, data model management, training and supporting users -Deliver technical and subject matter expertise on programming techniques for data management and BI tooling, ensuring processes are designed and executed with maximum efficiency and effectiveness. Includes proper standards/techniques to improve data quality and efficiency across data management workflow and processes. -Leverage industry and proprietary tools to assess data quality and assist to resolve data quality problems; support application data administration and data clean-up activities -Understand and define business/operation performance metrics and deliver BI analytics and visualizations to position the account team for improved decision support and continuous performance improvement -Collaborate with process owners and business stakeholders to determine requirements, anticipate future needs, and identify areas of opportunity to drive technology solutions for continuing process improvements and stability -Design, develop and deploy BI solutions, including interactive dashboards in Power BI and Tableau, sourcing data from internal SQL Server databases, published data sources, external sources, SharePoint, and ETL processing (Alteryx, Power Query, etc.) -Design and develop data workflow automations and API solutions to store structured and unstructured data from internal and external sources

Requirements

• sql
• python
• power bi
• etl
• data warehousing
• bachelor's

What You Bring

-Minimum 5 years of work experience in the fields of information systems, data architecture/management, data analytics, business intelligence, and/or computer science -Excellent technical, analytical and organizational skills. Project management skills preferred. -Extensive experience with standard analytical, reporting and programming languages and their application (such as SQL, SAS, SPSS, Python, R, VBA, SSRS, Cognos, Tableau, Power BI, Power Apps, Power Automate, etc.) -Demonstrated experience with data architecture, data integration, ETL processes, and data warehousing deployed in a complex environment. -Bachelor’s degree in Information Technology, Computer Science, Statistics, Data Analytics, or related field. -Strong analytical mind-set with an ability to interpret, visualize and effectively tell the story behind the data with focus and clarity. -High level of attention to detail and accuracy. -Fluent in Business Intelligence analytics, data modelling, reporting, visualization, and supporting technologies. -Comprehensive understanding of data management and systems engineering concepts to effectively deliver the design and development of actionable business information solutions.

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About Jll

-Founded over 200 years ago, JLL has become a global leader in real estate services and investment management. -With a presence in over 80 countries, JLL offers a wide range of services, including property management, advisory, and capital markets. -JLL manages iconic properties like the Shard in London and works with Fortune 500 companies to optimize real estate portfolios. -The company is known for its innovative solutions in real estate technology and sustainability. -Typical projects include large-scale urban developments, corporate relocations, and infrastructure advisory. -JLL has pioneered the integration of data-driven insights into real estate decision-making. -The company’s expertise spans across diverse sectors, such as residential, commercial, industrial, and infrastructure. -Notable for its long-standing history, JLL continues to shape the global real estate landscape.

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