The Role

As a Sr. Analytics Engineer at Stori, you will leverage your analytical and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day, you will be challenged on three types of work – Innovation, Business Intelligence, and Data Management:

Innovation

• Use Open-Source/Digital technologies to mine complex, diverse data sources and platforms.
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.
  
  

Business Intelligence

• Partner with the business to provide consultancy and translate the business needs into the design and development of tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive analysis that provides meaningful insights into business strategies.
  
  

Data Management

• Drive an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions.
• Work with business teams to understand and translate business needs into technical requirements.
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.
• Build and execute tools to monitor and report on data quality.
• A bachelor's degree or foreign equivalent in Engineering, Science, Operations Research, Information Technology, Statistics, Mathematics, Economics, Finance, Analytics, or a related quantitative analytical field.
• SQL and Python.
• Proven interpersonal, collaboration, diplomatic, influencing, planning, and organizational skills.
• Consistently demonstrate clear and concise written and verbal communication.
• Proven ability to effectively use complex analytical, interpretive, and problem-solving techniques
• Demonstrated ability to work under pressure and to meet tight deadlines with proactive, decisiveness, and flexibility.
• English Fluent/proficient.
• 2 or more years of experience in quantitative and qualitative analysis using SQL or Python.
• 2 or more years of working experience in data analytics or data management
• 2 or more years of experience in the finance industry
• 2 or more years of experience in DBT labs
• Collaborate with the product team to identify opportunities for leveraging data analytics to improve financial reporting and analysis
• Design, develop, and maintain data pipelines, ETL processes, and data models to support financial data analysis and reporting requirements using DBT labs
• Develop and automate reports, dashboards, and visualizations to communicate key performance metrics and insights to stakeholders.
• Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Continuously monitor data quality and integrity, and implement measures to ensure accuracy and reliability of business data.
• Conduct ad-hoc analyses and provide data-driven insights to support strategic decision-making and business planning initiatives.
• Participate in cross-functional projects and initiatives to enhance data integration, automation, and scalability across the organization.
• Collaborate with internal stakeholders to define data requirements and specifications for new financial products, services, and initiatives.
• Adhere to industry best practices for data governance by documenting data processes, systems, and methodologies to promote transparency, reproducibility, and knowledge sharing
• Conduct performance tuning and optimization of database queries and data processing jobs to improve efficiency and reduce latency in financial data reporting and analysis.
• Design and implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of financial data across multiple systems and platforms.
• Make a positive impact on the lives of our customers via financial inclusion
• Professional development opportunities
• International exposure & work experience
• Company swag
• Legally required benefits