90 applicants

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Company

Original Job Post

JLL · 6 days ago

BI Analyst

Atlanta, GA

Full-time

Onsite

Mid Level

$71K/yr - $87K/yr

3+ years exp

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Responsibilities

Collaborate with business users to identify, analyse, and document business requirements and key performance indicators (KPIs)

Design, develop, and maintain interactive reports, dashboards, and visualizations using Power BI

Collect and transform data from multiple sources into a structured format for analysis

Develop and maintain data models and data sets for efficient and accurate reporting

Create calculations, measures, and custom visuals in Power BI to support complex reporting needs

Ensure data accuracy, integrity, and consistency within the BI solutions

Provide training and support to end-users to optimize the use of Power BI for their reporting needs

Collaborate with IT teams to ensure data security, integrity, and compliance with data governance policies

Stay up to date with the latest trends in business intelligence and analytics tools, techniques, and best practices

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Power BIPower QueryDAXM-codeData VisualizationData ModellingSQLProject ManagementProblem-SolvingCommunicationCollaborationTime ManagementData IntegrationETL ProcessesPower AppsPower Automate DesktopCloud FlowsCloud-Based Data PlatformsAzure SQL DatabaseAzure SynapseGoogle BigQueryData GovernanceField ParametersCalculation GroupsTime Intelligence DerivationRow-Level SecurityWorkspace Application AudiencesRestful Web APIsPerformance TuningData Refreshes

Required

Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field

Proven experience of at least 3 years as a BI Analyst or similar role

Strong proficiency in Power BI, including creating complex visualizations, measures, and DAX calculations

Strong proficiency in Power Query, including writing M-code

Solid understanding of data visualization principles and best practices

Knowledge of data modelling concepts (relational models, star/snowflake schemas, slowly changing dimensions, referential integrity, etc.) and experience working with large datasets composed of unstructured/semi-structured/structured data

Proficient in SQL and data manipulation languages

Strong analytical and problem-solving skills with the ability to interpret complex data sets

Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders

Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines

Preferred

Experience with data integration and ETL processes

Experience with Power Apps, Power Automate Desktop and Cloud Flows

Familiarity with cloud-based data platforms, such as Azure SQL Database, Azure Synapse, or Google BigQuery

Familiarity with data governance principles and practices

Familiarity with advanced Power BI features and concepts such as Field Parameters, Calculation Groups, Time Intelligence derivation, Row-Level Security (RLS), and Workspace Application Audiences

Familiarity with advanced Power Query concepts such as sourcing data via Restful web APIs, performance tuning and optimizing data refreshes, and creating common utility functions