We are seeking a Technical Business Analyst to shape and optimize the processes for ingesting, validating, and tracking partner revenue data. You will play a vital role in ensuring the robustness and alignment of data pipelines and partner integrations. This hands-on, product-facing role combines data fluency with stakeholder management. You will work with internal teams to define requirements and validate new integrations, driving the evolution of our revenue data products. Direct engagement with external partners to ensure smooth onboarding, data quality, and reliability is also expected.
This position is ideal for candidates with strong analytical skills, a technical mindset, and an interest in transitioning towards product ownership.
Responsibilities:
Partner & Data Integration
Business Analysis & Documentation
Cross-Team Collaboration
Continuous Improvement & Impact
Requirements:
Nice to Have
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Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices.
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Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Technical Business Analyst Q&A's