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Company

Original Job Post

Cypress HCM · 2 days ago

Business Intelligence Analyst

United States

Contract

Remote

Mid Level

$50/hr - $67/hr

4+ years exp

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Responsibilities

Analyze large datasets to extract meaningful insights and support strategic decision-making across the organization.

Design, develop, and maintain dashboards and reports that provide visibility into key business metrics and performance indicators.

Collaborate with various teams to understand data needs and implement comprehensive data strategies.

Enhance and maintain the quality of data by identifying gaps, recommending improvements, and implementing best practices in data handling and analysis.

Conduct ad hoc analysis and present findings to stakeholders in a clear and compelling manner.

Stay abreast of industry trends and developments in data analytics and visualization tools.

Develop rich, interactive, visually striking graphics and data visualizations using large amounts of data in Tableau and/or other data visualization tools

Help scale BI processes using automation and scripting wherever possible

Provide insight into leading analytic practices and foster best practices that are consistent with BI design standards

Help influence and document the PEAK business intelligence strategy, principles, and roadmap

Cross functional collaboration with various departments, including IT and Customer Experience (CX) to ensure a cohesive approach

Qualification

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Data AnalysisData VisualizationBusiness IntelligenceSQLPythonData WarehousingETLStakeholder ManagementAmbiguity ManagementProblem-SolvingCommunicationOrganizationalAccountabilityResourcefulScripting LanguageSnowflakeETL ProcessesTableau

Required

4+ years of experience working with product, customer or other related data analytics fields.

Validated experience with data visualization and business intelligence tools or packages (Tableau preferred)

SQL coding/querying skills; experience with Python or other scripting language a plus

Familiarity with data warehousing solutions (e.g., Snowflake) and ETL processes.

Ability to work with large amounts of detail; ability to collect, structure and assess data

Strong communications skills, breaking complex problems and models down to an understandable level that builds confidence with stakeholders

Strong organizational skills with a high level of accountability and professionalism; willing to go the extra mile to see issues to resolution; self-directed and resourceful

Comfortable with ambiguity; able to thrive with minimal oversight and process, while keeping leadership informed on progress against deadlines

Education: Bachelor's degree (statistics, computer science, or math preferred)