Business Intelligence Manager (IC)

Someone who thinks analytically and enjoys turning complex data into compelling stories and actionable insights. The ideal candidate has a passion for continuous improvement, data exploration, data analysis, and data visualization. They enjoy solving business problems through data and identifying opportunities to drive measurable business outcomes.

The ideal candidate is business-minded, detail-oriented, self-motivated, collaborative, and comfortable operating in ambiguity. They possess strong communication skills, excel at building stakeholder relationships, and are willing to roll up their sleeves to tackle complex challenges and deliver results.

• →Develop a deep understanding of business processes, objectives, and requirements to generate meaningful insights and visualizations.
• →Develop visualizations and analytical insights that drive measurable business outcomes.
• →Partner with business stakeholders to define requirements, validate data, and ensure the accuracy and relevance of analytical solutions.
• →Apply BI standards and best practices to maintain the quality and integrity of the HRO Analytics brand.
• →Design, develop, and implement intuitive dashboards that enable business stakeholders to easily interpret and act on data.
• →Coach business partners on how to leverage dashboards and analytical insights to support decision-making.
• →Lead complex analytics initiatives from requirements gathering through development, implementation, and stakeholder adoption.

• Comfortable operating in ambiguity and adapting within a dynamic, fast-paced environment.
• Proactive self-starter requiring minimal guidance, with the ability to manage competing priorities and meet deadlines.
• Demonstrates a can-do attitude and takes initiative to drive solutions and business outcomes.
• Demonstrates strong adherence to Agile methodologies, with a focus on delivering MVPs, meeting commitments, and adapting to changing priorities.
• Team-oriented, with a strong focus on business stakeholders and the end-user experience.

• Bachelor's degree in a quantitative, business, or technical discipline, such as Business Management, Finance, Mathematics, Quantitative Finance, Data Analytics, or a related field.
• 4+ years of experience in Business Intelligence, Analytics, or a related field.
• Advanced proficiency in exploratory data analysis (EDA).
• Advanced proficiency in developing and executing ETL processes independently using SQL, Python, Alteryx, or a combination of these technologies.
• Advanced proficiency in BI and data visualization tools, such as Tableau or Power BI, as well as Excel.
• Experience accessing and working with relational databases, large datasets, and analytical data models.
• Strong business acumen, with the ability to generate insights and communicate findings through effective presentations and visualizations.
• Technical expertise in database development, data mining, and segmentation techniques.
• Advanced proficiency in trend analysis, root cause analysis, and other diagnostic analytical methods.
• Proficiency in prescriptive analytics and hypothesis testing.
• Excellent written, verbal, presentation, storytelling, and interpersonal skills, with the ability to communicate complex concepts clearly to management, team members, and non-technical audiences.

• Advanced degree in analytics, an MBA, or a related field.
• Experience in the HCM/PEO industry.
• Experience supporting change management or large-scale transformation initiatives.
• Experience leveraging AI and agentic development to create assets and insights.

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