Responsibilities:
Work experience: 4 to 6 years
Data Analysis & Reporting:
Analyze the performance of digital marketing campaigns, including paid search, social media, email marketing, and display ads.
Monitor key performance indicators (KPIs) such as traffic, conversion rates, cost per acquisition (CPA), return on investment (ROI), etc.
Create and maintain dashboards and reports to visualize campaign performance and make recommendations for optimization.
Provide actionable insights based on data analysis to enhance marketing strategies.
Campaign Management:
Assist in the creation, execution, and optimization of PPC (Pay-Per-Click) campaigns across platforms such as Google Ads, Bing Ads, and social media networks (Facebook, LinkedIn, etc.).
Conduct keyword research, competitor analysis, and audience targeting to improve campaign effectiveness.
Analyze user behavior and adjust campaigns to optimize conversion rates.
Strategy Development & Optimization:
Work closely with the marketing team to develop and implement digital marketing strategies that drive traffic and conversions.
Conduct A/B testing on ad creatives, landing pages, and calls-to-action (CTAs) to improve campaign performance.
Stay up to date with digital marketing trends, platform updates, and best practices to continuously improve campaigns.
PPC Analysis:
Analyze and optimize PPC ad performance, ensuring campaigns are achieving the best possible results.
Track budget allocation and monitor campaign spend to ensure cost-effectiveness.
Provide regular performance reports and suggest areas of improvement.
Collaboration & Communication:
Work with cross-functional teams such as content, SEO, and creative teams to ensure consistent messaging and alignment across digital marketing initiatives.
Present campaign performance data and insights to stakeholders, including marketing managers and senior leadership.
Required Skills and Qualifications:
Bachelor’s degree in Marketing, Business, Data Analytics, or a related field Or 4 to 5 years of work experience as a digital marketing analyst.
Proven experience in digital marketing, data analysis, and PPC campaign management.
Familiarity with Google Analytics, Google Ads, Facebook Ads Manager, and other analytics and advertising tools.
Strong analytical and problem-solving skills with the ability to turn data into actionable insights.
Experience in creating and maintaining dashboards using tools like Google Data Studio, Tableau, or Power BI.
Basic understanding of SEO, content marketing, and other digital marketing channels.
Excellent communication skills with the ability to present complex data clearly and concisely.
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health well-being
Monthly Office Commutation Reimbursement Program
Paid paternity and maternity leaves
Bachelors or Masters qualification
All your information will be kept confidential according to EEO guidelines.
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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