The Role
We are expanding our Analytics function and are seeking an Lead Insights Analyst to join our dynamic and growing Insights team. The ideal candidate will be someone who has a strong analytical mindset, a passion for data-driven decision-making, and is equally passionate about translating complex data into actionable business insights as they are about supporting the growth of their direct reports.
You will manage an insights analyst, based in India and liaise with your counterparts in the UK. Additionally, you will be dedicated to a specific business area working with its General Manager (and their team members) to provide in-depth analysis and build data products to help them make decisions to improve profit performance. You will also represent the wider Data Team (Engineers, BI Analysts, Data Scientists) to the General Manager, and support them with any data-related query they may have. You will collaborate closely with the other insights analysts in the Insights team, who are based in both India and the UK. You will become the data expert for your vertical and will provide recommendations based on data trends and patterns.
This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. If this opportunity excites you, we encourage you to apply.
What you’ll do
What you’ll bring:
Nice to have:
Why join us:
Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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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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