Senior Business Intelligence Developer

At Apple new ideas have a way of becoming extraordinary products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could Central Marketing Insights team within Apple Services partners with marketing teams across Apples full portfolio of services to help them understand whats working across paid media channels and why. Our analytics and visualization function VizOps is the team responsible for building and operating the dashboards and data tools that make those insights accessible. We own the full lifecycle: intake design development QA and maintenance and we hold a high bar for craft grounded in the principles of clear honest information this role you will be a senior developer on the team building our most important data products elevating the quality of the work through your example and expertise and serving as a confident credible presence in front of the stakeholders who depend on what we build.

This is a senior hands-on development role. You will own the design and build of some of the teams most complex and highest-visibility dashboards while helping raise the quality of the work across the team through the standards you model and the guidance you dashboards in this portfolio surface analytics for internal marketing technology platforms tools that manage and evaluate paid marketing campaigns across Apples services. They are used daily by program managers marketing engineers and analysts who depend on them for operational and strategic decisions. You will help set the bar for how these products look perform and significant part of this role is stakeholder-facing. You will lead intake conversations present work in reviews explain analytical and design decisions to non-technical audiences and represent the teams craft with clarity and confidence. When a stakeholder needs to understand what the data says or why a dashboard was built the way it was you are someone who can carry that a senior member of a small team you will also help others grow. You will share technical approaches offer guidance on development and design choices and contribute to the standards that keep our work consistent and high quality. You do not manage people but your expertise makes the whole team quality is foundational to everything we build. You will investigate discrepancies and anomalies in multi-source data pipelines trace issues to their root cause and ensure the metrics stakeholders rely on are -powered tools are part of how this team works and you are expected to use them fluently in your own workflow to move faster and work smarter. The team is actively expanding its use of AI and automation and your fluency and ideas will contribute to a practice we are proud to lead within our organization.

Design and develop complex high-visibility Tableau dashboards modeling a high standard for quality and consistencynPresent work to stakeholders and lead intake conversations communicating analytical and design decisions clearly to non-technical audiencesnShare technical expertise with colleagues and contribute to the teams dashboard development and information design standardsnInvestigate and resolve data quality issues across multi-source paid media data pipelines tracing anomalies to root causenUse AI-powered tools fluently to accelerate development analysis and documentationnMaintain clear documentation for the dashboards you own: purpose data sources business logic and change historynContribute to the teams QA processes helping ensure data issues are caught proactively before reaching stakeholdersnBachelors degree in a quantitative or analytical field such as Statistics Mathematics Computer Science Economics or a related discipline or equivalent practical experience.

5 years of experience building and maintaining production-level Tableau dashboards with strong command of calculated fields Level of Detail expressions parameter and set actions and performance optimizationnA portfolio of Tableau work ideally published on Tableau Public that you can present in an interview walking through both your analytical reasoning and your design decisionsnDemonstrated experience presenting analytical work to stakeholders and explaining technical concepts to non-technical audiencesnExperience writing and debugging SQL queries against large-scale relational or columnar databasesnExperience diagnosing data quality issues in multi-step data pipelines including identifying root causes across ETL layersnExperience using AI tools as part of a professional analytical or data workflow for example using large language models to automate tasks accelerate analysis or streamline documentationnBachelors degree in a quantitative or analytical field such as Statistics Mathematics Computer Science Economics or a related discipline or equivalent practical experience

Experience working with paid media data campaign performance metrics marketing measurement or attribution in an analytics or data operations contextnExperience sharing technical expertise with or mentoring other analysts or developersnA demonstrated point of view on information design and data visualization best practices (for example familiarity with the principles of Edward Tufte or comparable frameworks)nExperience building AI-powered automations or agent-based workflows including prompt engineering and context managementnExperience working within a centralized analytics or business intelligence function with defined governance standards and development processesnExperience using project and work management tools (such as Jira or equivalent) to track and communicate analytical worknTableau Desktop Certified Data Analyst certification