Forbes Advisor is an initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions.
We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. If you're looking for challenges and opportunities similar to those of a startup, with the benefits of a seasoned and successful company, then read on:
Responsibilities:
● Help define performance marketing strategy across Forbes Advisor verticals.
● Build, execute and optimise performance marketing activities with direct responsibility for results
● Maintain and monitor bidding strategies, targeting settings, budgets, search terms and other important account metrics on existing and new categories.
● Manage the creation of large keyword lists
● Implement creative copy suggestions
● Define campaign budgets, align campaign goals and ensure search campaigns meet best practice principles.
● Ensure campaigns deliver positive ROI to achieve desired results.
● Continually expand and optimize paid keyword discovery.
● Research and analyse competitor advertising links.
Requirements:
● 4+ Years proven SEM experience of successfully managing campaigns across Google and Bing.
● In depth experience with smart bidding strategies – tCPA and tROAS
● Experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends).
● Well-versed in performance marketing٫ conversion٫ and online audience acquisition.
● Familiarity with A/B and multivariate experiments.
● Understanding of reporting as per Campaign KPIs - Lead Generation, CPL, Conversion, CPA.
● Should possess excellent quantitative and analytical abilities, with an affinity to work
on large datasets. And should be able to generate actionable insights from data analysis that translates to valuable marketing decisions.
● Proven knowledge of website structure and design, as well as marketing strategies and workflow models.
● Comfortable with navigating ambiguity on new projects/markets and able to run seamless operations.
● Excellent communication, presentation, and storytelling skills.
● Excellent Excel skills.
Perks:
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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