Job Description
Job Role - Data Analyst
Experience - 1 - 3 Years
Location - Bangalore, Mumbai
Tech Stacks - Data Analysis, Python, SQL, Power Bi
Work Mode : Work from office 5 days
We are seek an experienced Campaign Consultant with over 1-3 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, and 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 : 1-3 years in campaign analysis, marketing consulting, or a similar role.
- Proficiency in Python for data analysis, automation, and integration.
- Hands-on experience with AWS 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.
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