Overview

Analyst, Cockpit Reporting & AI-Enabled Solutions. Digital Planning Transformation | Global Finance Cockpit Team

Why this role exists. Cockpit is the single reporting platform behind the organization's financial planning: 7,000+ users, 175,000+ views every month, with all Operating Units converging onto one standard. The dashboards are largely built. What we're building now is different. We want reporting that maintains itself: dashboards that validate their own numbers, documentation that writes itself, insights that reach people without someone spending a Tuesday assembling them by hand. That's where we intend to be in two years. We are not there yet, and we're hiring the person who helps us get there. Generative AI is already part of how this team works. It isn't a pilot or a side project. But we care far more about someone who can tell when a model is confidently wrong than someone who has collected prompting tricks. What you'll actually do. Build reporting people rely on (the core of the job)Sit with Operating Units and Finance teams to understand what they actually need, which is usually not what they first asked for. Build financial performance dashboards with real drill-down, following our standard frameworks Improve what already exists: faster, clearer, more consistent Watch how people really consume the data, from analysts to senior leaders, and redesign around what you see. Apply our data security and FP&A reporting standards. We'll teach you these, and you'll follow them carefully Make the work smarter (this part grows as you do)Use AI in daily delivery: drafting documentation, writing and debugging calculations and SQL, accelerating requirements analysis Build and refine prompts for the things we do repeatedly (validation, documentation, quality checks) and improve them based on whether the output actually got better Catch AI's mistakes before a business user does: invented logic, results that don't reconcile, errors that fail silently Find the manual, repetitive parts of our reporting cycle and propose how to automate them Grow into shaping our AI validation and quality frameworks alongside the teamwork with people. Partner with S&T so business requirements survive the translation into Cockpit Help train and support Cockpit usersTake on high-priority projects as they come upWhat we need from you Genuinely required0 to 2 years of experience in analytics, reporting, data or engineering. Internships, academic work and personal projects all count. Hands-on with at least one BI or data tool. Power BI, Tableau, Looker, Qlik, or a data-engineering background built on SQL, Python and pipelines. We don't need a Tableau expert. We build them. Most people here are productive in Tableau within a few months. What we need is someone who has already built something real with data and can walk us through the decisions they made and why. You use generative AI for real work, not just chat. Show us one concrete thing you built, automated or solved faster because of it.Basic SQL. You can read a query, understand a join, and trace where a number came from. You check whether a number makes sense before you publish it. This matters more than any tool on this list. Decent English, written and spoken. Comfort with things being unfinished. Our tooling changes every few months. That's the job, not a defect in it.Helpful, but not expected Python, Databricks, or any cloud data platform APIs, automation tools, or anything you've built with AI beyond a chat window. Finance or FP&A background, or familiarity with P&L and performance reporting. Data modeling fundamentals (grain, joins, single source of truth)Not requiredTableau certification. Prior finance work experience. Having done this exact job before. If you're strong on judgment and genuinely fluent with AI, apply. We'll teach you the rest. What you'll be in 18 months. You'll understand how a global company actually plans and measures itself, and you'll have built reporting that thousands of people use to make real decisions. You'll be fluent in Tableau, working well past dashboard-building, and helping define how an AI-enabled reporting function operates. Very few people anywhere have done that yet. This role sits where finance, data and AI meet, and that intersection is where the interesting careers are being built right now. How we'll assess you1. A dashboard you build on your own time.

We'll send you a dataset and a short brief. Build something you'd be comfortable putting in front of a finance team. Use whatever tool you're strongest in: Tableau, Power BI, Looker, Qlik, Python, or something else. We are not testing which software you know.2. A conversation about what you built.

You'll walk us through your reasoning: the design choices, what the data let you say and what it didn't, and where you weren't sure. Then we'll ask you to make a couple of changes to it live, with us. That's not a trap. It's the closest thing to how this job actually feels when a stakeholder changes their mind mid-review.3. A conversation about AI on real work.
How you use it day to day, and how you decide whether to trust what it hands you. Using AI on the exercise is fine and expected. Just be ready to explain what you used it for and how you verified it.

Responsibilities

Design, develop, and maintain interactive Tableau dashboards, reports, and scorecards.
Gather and analyze business requirements from stakeholders and translate them into BI solutions.
Write complex SQL queries and scripts to extract, transform, and validate data.
Perform data analysis to identify trends, patterns, and business insights.
Optimize Tableau workbooks and SQL queries for performance and scalability.
Develop and maintain data models, data sources, and metadata documentation.
Ensure data quality, consistency, and governance across reporting solutions.
Work closely with business teams, data engineers, and analysts to deliver reporting requirements.
Automate recurring reporting processes and improve operational efficiency.
Troubleshoot data discrepancies and resolve dashboard-related issues.
Participate in testing, deployment, and continuous improvement initiatives.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, or a related field.
5+ years of hands-on experience in Tableau dashboard development and SQL programming.
Strong expertise in Tableau Desktop, Tableau Server/Cloud, and Tableau Prep.
Advanced SQL skills with experience in writing complex queries, joins, CTEs, window functions, and performance tuning.
Experience working with large datasets and relational databases such as SQL Server, Oracle, Snowflake, PostgreSQL, or similar.
Strong understanding of data warehousing concepts, ETL processes, and data modeling.
Experience gathering business requirements and working directly with stakeholders.
Knowledge of KPI development, data visualization best practices, and dashboard design principles.
Excellent analytical, problem-solving, and communication skills.
Ability to manage multiple priorities in a fast-paced environment.
Experience in Agile/Scrum environments.
Exposure to FP&A, Finance, Sales, Supply Chain, or Operations reporting domains.

Deputy Manager - Finance