What we need from you

- Genuinely required: 0 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 FPA background, or familiarity with PL and performance reporting.
- Data modeling fundamentals (grain, joins, single source of truth)
- Not required Tableau 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 you
1. 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 rapid-paced environment.
- Experience in Agile/Scrum environments.
- Exposure to FPA, Finance, Sales, Supply Chain, or Operations reporting domains.

📌 Deputy Manager - Finance (Hyderabad)
🏢 PepsiCo
📍 Hyderabad