Data Analyst – Strategic Finance
Looking to work on high-impact data problems that influence business and financial decisions? This role sits at the intersection of data analytics, financial insights, and operational strategy, helping teams make faster and better decisions using data.
Responsibilities
What you’ll do:
• Analyze large financial and operational datasets to generate actionable insights
• Build and maintain dashboards and reporting frameworks for business stakeholders
• Write efficient SQL queries to extract, transform, and analyze data from large data warehouses
• Perform deep-dive analysis to identify trends, anomalies, and opportunities for improvement
• Automate recurring analysis and workflows using Python libraries
• Partner with cross-functional teams including Finance, Product, Operations, and Data Engineering
• Ensure data quality, validation, and consistency across reporting pipelines
Qualifications
Tech Stack:
SQL / PrestoDB | Python | Tableau | Cursor | Google Sheets
What we’re looking for:
• 3–5 years of experience in Data Analytics / Business Analytics
• Strong SQL skills with experience working on large datasets
• Hands-on experience with Python for analysis and automation
• Experience with data science environments such as DSW, Jupiter Notebook
• Familiarity with AI-assisted development tools (e.g., Cursor)
• Strong analytical thinking and problem-solving ability
• Experience building dashboards and communicating insights to stakeholders
• Ability to communicate insights clearly with business stakeholders
Detail-oriented mindset with a focus on data accuracy and reliability
Skills Required
- 3-5 years of experience in Data Analytics or Business Analytics
- Strong SQL skills with experience working on large datasets
- Hands-on experience with Python for analysis and automation
- Experience with PrestoDB
- Experience building dashboards and reporting frameworks (Tableau)
- Experience with data science environments such as DSW and Jupyter Notebook
- Familiarity with AI-assisted development tools (e.g., Cursor)
- Experience ensuring data quality, validation, and consistency across reporting pipelines
- Experience with Google Sheets for reporting/analysis
- Strong analytical thinking, problem-solving, and ability to communicate insights to stakeholders
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
