Full Stack Business Intelligence Engineer

About Fincons US

Fincons US is a leading technology and digital transformation company delivering innovative solutions across Media & Entertainment, Financial Services, and other strategic industries. With offices in Los Angeles and New York, Fincons brings deep industry expertise and technology capabilities to major organizations across the U.S. market. The company has a strong focus on Media & Entertainment, supporting clients with digital transformation, data, content, and business intelligence solutions. Fincons US combines deep industry knowledge with advanced technology capabilities to help organizations modernize their systems and technology environments.

About the Role

Fincons US is seeking an experienced Full Stack Developer to support enterprise application and digital transformation initiatives. This is a remote position supporting teams and stakeholders in the Los Angeles market. The Full Stack Developer will be responsible for designing, developing, testing, deploying, and maintaining modern web applications using Python, React, and AWS while collaborating closely with technical and business stakeholders.

Full Stack Business Intelligence (BI) Engineer

We are seeking a strategic and analytical Full Stack Business Intelligence (BI) Engineer to support the development of scalable, modular, and user-centric analytics solutions that transform data into actionable insights This role will contribute to the development and implementation of full-stack, data-driven applications using React and Python, along with reporting and analytics tools that drive decision-making across the organization. The ideal candidate has a strong blend of front-end and back-end application development experience, business acumen, and a focus on intuitive UI design that enhances user experience and data accessibility.

Key Responsibilities: 

• Front-End Application Development & Tools: Design, develop, and optimize modular, data-driven web applications using modern front-end development platforms and frameworks, particularly React and JavaScript, ensuring usability, scalability, and performance. Apply UI/UX best practices to deliver intuitive, responsive, and visually clear interfaces that align with stakeholder needs and drive adoption. 
• Back-End Services Development & Data Integration: Develop and maintain Python-based APIs, reusable services, and application business logic that support front-end applications. Partner with data engineering and IT teams to connect applications with SQL-based data sources and cloud data platforms, while supporting data accuracy, integrity, security, maintainability, and application performance. 
• Marketing & Advertising Data Integration: Build and maintain ingestion and transformation pipelines for advertising platform measurement data (e.g., brand lift studies), web analytics (e.g., Google Analytics 4), and media agency plan and pacing data. Conform inbound data to the campaign taxonomy and title/campaign keys so it joins cleanly to existing spend and delivery reporting. 
• Campaign Reporting & Pacing: Develop reporting and alerting for media pacing versus plan, brand lift outcomes, site engagement attributed to paid media, and campaign benchmarks, so marketing and media teams can act without analyst intermediation. 
• Technical Contribution: Serve as a hands-on contributor, applying modern software development best practices – including component-based architecture, reusable code, modular development, version control, testing, and collaborative development workflows – to build and scale front-end applications. 
• Strategic Partnership: Collaborate with cross-functional teams (e.g., Marketing, Finance, Product, Operations) to identify business needs and translate them into user-friendly web applications, analytical interfaces, and scalable front-end solutions. 
• Insights & Analytics: Develop clear, high-impact data visualizations and interactive user experiences that enable users to explore data and derive actionable insights. Promote reproducibility and transparency through well-documented and maintainable application code. 
• Project Execution: Manage multiple application development projects and stakeholder requests, ensuring timely and high-quality delivery. Participate in agile development cycles to coordinate cross-functional initiatives. 

Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Business, Analytics, Information Systems, or a related field. 
• 2-3 years of experience in front-end application development, data application development, business intelligence, or related roles. 
• Hands-on experience developing modular, cloud-based JavaScript applications using React, including reusable components, state management, and integration with APIs and data services. 
• Proficiency with JavaScript/TypeScript, React, HTML, and CSS, with practical experience building responsive, interactive web applications. 
• Hands-on experience using Python to develop or maintain back-end application services, REST APIs, data-access components, or business logic supporting web-based applications. 
• Experience integrating React applications with Python-based REST APIs, back-end services, and SQL-based data sources. 
• Familiarity with BI and visualization tools (e.g., Power BI, Tableau, Looker) and SQL. 
• Strong understanding of UI/UX design principles, responsive design, and practical experience with CSS for application layout, styling, and reusable design patterns. 
• Familiarity with collaborative version control workflows (e.g., Git/GitHub) and modern software development practices (e.g., DRY, SOLID, code reviews, testing). 
• Demonstrated ability to turn complex data and business requirements into intuitive, user-friendly applications and visual experiences. 
• Strong communication and interpersonal skills. 
• Experience working in agile project environments and cross-functional teams. 

Preferred Qualifications: 

• Experience with modern React development tools and libraries, including component libraries, state management, routing, and data visualization frameworks. 
• Experience with cloud data ecosystems, data integration tools, and modern data platforms (e.g., Snowflake, Redshift, BigQuery), including dbt or similar transformation frameworks. 
• Experience with Python web frameworks and API development, with familiarity in Node.js or other back-end technologies supporting front-end applications. 
• Knowledge of web technologies, REST APIs, authentication, and application deployment. 
• Experience with Google Cloud Platform, the Google Ads API, brand lift reporting, or the GA4 Data API / BigQuery export. 
• Experience with Fivetran or similar ingestion tooling. 
• Experience building media pacing, budget tracking, or campaign performance reporting. 
• Familiarity with paid media platforms and APIs (e.g., Meta, Google, The Trade Desk) and media plan structures. 
• Familiarity with Markdown, Quarto, and/or LaTeX for documentation, reporting, or templated publishing. 
• Knowledge of basic statistics and data science concepts to contextualize analyses and visualizations. 
• Contributions to open-source or GitHub-hosted projects demonstrating React development, front-end engineering, data visualization, or application development. 
• Background in entertainment or media industries.