Manager jobs in Spain

Role Title: Manager, Finance Analytics (L09)

Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
• We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

The Finance Analytics team is a specialized group focused on leveraging advanced data analytics and visualization techniques to drive financial insight and strategic decision-making. We utilize a broad range of analytical tools and technologies—including SAS, Python, AI/ML, Tableau, Power BI, Advanced Excel, and other cutting-edge solutions—to source, analyze, and interpret complex financial data. Our expertise enables us to uncover trends, identify opportunities, and deliver clear, actionable visualizations that empower stakeholders across the organization. By combining technical proficiency with deep financial knowledge, we transform raw data into meaningful insights that support business growth and operational excellence.

This position is a part of the Finance Centre of Excellence organization which provides support to Synchrony Financial - Finance Function. The Manager directly supports their assigned area(s) with all matters pertaining to financial operations management. This includes financial reporting and analysis, financial planning and forecasting, with an emphasis on process improvements.

• Develop, implement, and maintain complex data models and reporting solutions using SAS, Python, and other analytical tools.
• Handle large datasets efficiently, ensuring data integrity, quality, and accuracy in all reporting and analysis.
• Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications for data solutions.
• Perform data extraction, transformation, and loading (ETL) operations on large datasets from multiple sources.
• Build automated reporting dashboards and ad-hoc reports to support business decision-making.
• Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights.
• Optimize existing code and queries to improve performance and scalability.
• Document processes, methodologies, and analytical findings clearly and effectively.
• Stay updated with latest data analytics trends and best practices to continuously improve analytics capabilities.

• Bachelor’s/Master’s Degree in Statistics/Finance/Data Science along with 4-7 years of professional experience in data analytics or data science roles or in lieu of a degree 6-9 years of professional experience in data analytics.
• Strong proficiency in SAS (Base SAS, SAS Macro, PROC SQL) and Python (Pandas, NumPy, Scikit-learn, etc.).
• Hands-on experience with large-scale data handling, including data wrangling, cleaning, and manipulation.
• Solid experience in reporting tools and techniques; experience with dashboard tools (e.g., Tableau, Power BI) is a plus.
• Expertise in SQL and working with relational databases.
• Familiarity with statistical modeling, predictive analytics, or machine learning is desirable.
• Excellent problem-solving skills and ability to work independently or in team environments.
• Strong communication skills to effectively present technical information to both technical and non-technical stakeholders.

• Outstanding verbal and written communications skills.
• Experience in Hyperion-Essbase is preferred.
• Prior experience in SAS is required
• Advanced Microsoft Excel, PowerPoint and Word experience
• Applicants must have experience in financial reporting and analysis.
• Most prior experiences in a services oriented captured business environment preferred – other experiences in KPO may also be preferred.
• Prior position in India supporting a senior leader preferred
• Prior experience mirroring US operating hours preferred.
• Knowledge of firm’s systems is a plus.

Bachelor’s/Master’s Degree in Statistics/Finance/Data Science along with 4-7 years of professional experience in data analytics or data science roles or in lieu of a degree 6-9 years of professional experience in data analytics.

This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.

• Understand the criteria or mandatory skills required for the role, before applying.
• Inform your Manager or HRM before applying for any role on Workday.
• Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)
• Must not be any corrective action plan (First Formal/Final Formal, PIP)
• L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible.
• L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
• Level 4+ employees can apply

Grade/Level: 09

Job Family Group: Data Analytics