Job Role - Campaign Consultant/ Analyst

Experience - 3 -5 Years

Location - Bangalore

Tech Stacks - Campaign Analysis/ Data Analysis, Python, SQL, ML, AWS

We are seeking an experienced Campaign Consultant with over 3 years of experience to join our team in Bangalore. The ideal candidate will have a strong background in campaign analysis and possess technical skills in Python, AWS, SQL. You will play a critical role in designing, implementing, and optimizing campaigns, helping our clients achieve their marketing goals by leveraging data-driven insights.

Key Responsibilities:

  • Campaign Analysis: Design and execute marketing campaigns for clients, monitor performance, and conduct in-depth analysis to determine campaign effectiveness.
  • Data Management: Utilize SQL to extract, analyze, and manage data, ensuring accurate and comprehensive data is used for campaign assessments.
  • Reporting & Insights: Develop regular reports on campaign performance and provide actionable insights to optimize ongoing and future campaigns.
  • Collaboration: Work closely with cross-functional teams (Marketing, Product, and Analytics) to align campaign strategies with business objectives and ensure seamless execution.
  • Client Interaction: Serve as a point of contact for clients, addressing their campaign-related needs, presenting findings, and offering strategic recommendations.

Requirements:

  • Experience: 3-5 years in campaign analysis, marketing consulting, or a similar role.
  • Proficiency in Python for data analysis, automation, and integratin.
  • Hands-on experience withAWS services, including.
  • S3, Lambda, Glue, Athena, EMR, Redshift, QuickSight, and CloudWatch.
  • Technical Skills: Proficiency in SQL for data extraction and manipulation; experience with data visualization tools is a plus.
  • Analytical Skills: Strong analytical and problem-solving skills, with a keen eye for detail and a focus on data-driven decision-making.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex data insights to non-technical stakeholders.
  • Educational Background: A degree in Marketing, Business, Statistics, Data Science, or a related field is preferred.