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, voluminous, and 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.

Main responsibilities:

1. Collaborate with the product team to identify opportunities for leveraging data analytics to improve financial reporting and analysis
2. Design, develop, and maintain data pipelines, ETL processes, and data models to support financial data analysis and reporting requirements using DBT labs
3. Develop and automate reports, dashboards, and visualizations to communicate key performance metrics and insights to stakeholders.
4. Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
5. Continuously monitor data quality and integrity, and implement measures to ensure accuracy and reliability of business data.
6. Conduct ad-hoc analyses and provide data-driven insights to support strategic decision-making and business planning initiatives.
7. Participate in cross-functional projects and initiatives to enhance data integration, automation, and scalability across the organization.
8. Collaborate with internal stakeholders to define data requirements and specifications for new financial products, services, and initiatives.
9. Adhere to industry best practices for data governance by documenting data processes, systems, and methodologies to promote transparency, reproducibility, and knowledge sharing
10. Conduct performance tuning and optimization of database queries and data processing jobs to improve efficiency and reduce latency in financial data reporting and analysis.
11. Design and implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of financial data across multiple systems and platforms.

What we are looking for:

• 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