Data Analytics

The **Principal Data Analyst** is a senior individual contributor in the **Data & Analytics** department who translates complex product, customer, and operational data into decisions that measurably improve business performance. The role combines deep analytical expertise with pragmatic leadership—setting analytical standards, guiding strategic measurement, and enabling teams to self-serve reliable insights.

The **Principal Business Intelligence Analyst** is a senior individual contributor in the **Data & Analytics** organization responsible for shaping the company’s BI strategy, metrics foundation, and decision-support capabilities. This role translates business priorities into governed KPI definitions, reliable semantic models, and high-impact analytics products (dashboards, self-serve datasets, and executive insights) that improve product, commercial, and operational outcomes.

The Lead Data Analyst is a senior, hands-on analytics professional who drives high-impact analysis, reporting, and decision support across product, business, and operational domains. The role translates ambiguous business questions into measurable hypotheses, designs reliable metrics, delivers trusted dashboards and insights, and leads analytical execution across multiple stakeholders while setting standards for analytical quality.

The Lead Business Intelligence Analyst (Lead BI Analyst) is a senior individual contributor who designs, delivers, and governs enterprise-grade reporting, dashboards, and analytical insights that inform product, customer, and operational decisions in a software or IT organization. The role combines strong analytics engineering fundamentals (data modeling, semantic layer design, metrics definitions) with stakeholder leadership—turning ambiguous questions into trusted, actionable business intelligence.

The **Junior Data Analyst** supports the Data & Analytics function by preparing, validating, and analyzing data to produce reliable reporting and actionable insights for product, engineering, go-to-market, and operations teams. In a software or IT organization, this role exists to convert high-volume, fast-changing operational and product data into consistent metrics, dashboards, and analysis that teams can trust for day-to-day decisions.

The Junior Business Intelligence Analyst turns raw operational and product data into trusted dashboards, reports, and analyses that help teams make better day-to-day decisions. This role focuses on building and maintaining foundational BI assets (metrics definitions, dashboards, recurring reporting) and supporting senior analysts with data exploration and stakeholder enablement.

The **Data Analyst** turns product, customer, and operational data into trusted insights that help leaders and teams make better decisions. This role is accountable for defining metrics, building and maintaining dashboards and reporting, performing exploratory and ad hoc analyses, and communicating findings in a way that drives measurable business outcomes.

The **Business Intelligence Analyst** turns product, customer, financial, and operational data into **trusted insights, dashboards, and decision support** that drive measurable business outcomes. This role sits at the intersection of analytics, data engineering, and business operations—ensuring leaders and teams can self-serve accurate metrics and confidently act on them.

The **Associate Data Analyst** supports data-driven decision-making by producing reliable reporting, dashboards, and analyses that translate business questions into measurable insights. This role sits at the intersection of business operations and data platforms, ensuring that stakeholders can confidently use data to evaluate product performance, customer behavior, and operational efficiency.

The **Associate Business Intelligence Analyst** enables data-informed decision-making by turning raw operational and product data into trusted dashboards, reports, and actionable insights. This role focuses on building reliable recurring analytics, answering well-scoped business questions with clear analysis, and maintaining the quality and usability of BI assets under the guidance of more senior analysts or a BI lead.