BI Analyst IV - Internal Only

Indeed•Remote,

39d•$134,000 - $284,000•Remote

About The Position

As a Business Intelligence Analyst IV, a senior individual contributor role, you will use data to shape business strategy and improve performance across multiple teams. You will partner with senior leaders to help define priorities and deliver clear, actionable recommendations. In this role, you will design, build, and own scalable analytics solutions end to end, from data models and SQL to the dashboards and metrics teams rely on. You will own complex, cross-functional data initiatives, define how key metrics are measured, and set technical standards for data quality, performance, and documentation. You are an expert with large, complex datasets and communicate findings clearly to technical and non-technical audiences, including senior leadership. The ideal candidate is a self-directed, engaged analytics leader who can take an ambiguous business objective and drive it from problem definition through delivery and business impact, while proactively identifying where the business opportunities are. You will mentor other analysts, review SQL and analyses, and raise the bar on analytical rigor. You will also lead the team's use of AI tools and automation, establishing best practices and building reusable workflows that make BI more efficient and scalable.

Requirements

Requires a Master’s degree with a minimum of 8 years of experience; or a PhD with a minimum of 5 years experience
Proven ability to combine strategic thinking with tactical execution, and to lead the effective use of AI-assisted development tools, agents, automation, and emerging technologies across coding, SQL, analysis, testing, and research, including setting best practices for others
Demonstrated ability to autonomously navigate high ambiguity, prioritize across multiple concurrent cross-team initiatives, and translate complex data into clear, actionable insights and compelling narratives that influence senior leaders and drive decisions, with a key focus on business and customer impact.
Expert-level experience writing and optimizing complex SQL across large, distributed datasets, and advanced experience with programming languages (e.g., Python) for data analysis, transformation, automation, and statistical modeling.
Expertise with data visualization tools (e.g., Tableau, Power BI) and designing intuitive, scalable reporting solutions.
Solid understanding of data warehousing, data modeling, and data pipeline concepts, with experience partnering with data engineering to shape data architecture.
Experience mentoring analysts and elevating team capabilities and standards.

Nice To Haves

Experience and historical responsibility for shaping an organization’s technical/analytic architecture guidance and approach

Responsibilities

Own the design and development of scalable dashboards, reports, and data products that serve as trusted sources of truth for business decision-making.
Drive complex, cross-functional analyses of large datasets to identify trends, opportunities, and root causes, and translate them into strategic recommendations.
Partner with senior leaders to shape business questions, define key metrics and KPIs, and translate them into analytical approaches and technical requirements.
Design and oversee testing and measurement strategies, including A/B testing and causal inference methods, and guide others on sound experimental design and interpretation.
Establish standards for data quality, validation, and documentation, and lead improvements to data processes and tools, including adoption of AI-assisted workflows and automation across the team.
Present findings, recommendations, progress, and risks to senior leadership to drive alignment and influence decisions and priorities across teams.
Mentor and coach other analysts, provide technical guidance and code/analysis reviews, and help raise the overall bar for analytical quality.