IBM Digital Insights Analyst 

India, Karnataka, Bengaluru 

216552844

• Analyze marketing data to provide actionable insights and recommendations for campaign optimization.
• Utilize analytics tools (e.g., Google Analytics, Adobe Analytics, Sprinklr, Xandr) to track and measure the performance of marketing campaigns.
• Experience in working with Adobe Launch & Adobe Analytics & Google Analytics tool.
• Experience in working with Adobe Target.
• Experience in creating dashboards and reports to visualize and maintain dashboards and reports to visualize key performance indicators (KPIs) for marketing initiatives.
• Conduct in-depth data analysis to identify trends, patterns, and areas for improvement.
• Collaborate with marketing teams to define and implement tracking parameters for accurate data collection.
• Utilize statistical techniques and modeling to forecast and analyze marketing outcomes.
• Perform A/B testing and multivariate analysis to optimize marketing strategies.
• Interpret and communicate complex data insights to non-technical stakeholders.
• Stay updated on industry trends and advancements in marketing analytics.
• Collaborate with cross-functional teams to integrate marketing analytics into overall business strategy.

Required Technical and Professional Expertise

• Proficient in marketing analytics tools, such as Google Analytics, Adobe Analytics, Sprinklr, and Xandr
• Strong analytical and quantitative skills with a focus on data interpretation.
• Experience with data visualization tools (e.g., Tableau, Power BI) for reporting.
• Knowledge of statistical analysis techniques and modeling for marketing data.
• Familiarity with A/B testing methodologies and statistical significance.
• Effective communication skills to convey data insights to non-technical audiences.
• Detail-oriented with a focus on data accuracy and integrity.
• Collaboration skills to work closely with marketing and data teams.
• Understanding of digital marketing channels and their impact on analytics.

Preferred Technical and Professional Expertise

• Proficiency in coding languages such as Python or R for advanced analytics.
• Exposure to machine learning techniques for predictive marketing analytics.
• Knowledge of marketing automation platforms and their analytics capabilities.
• Familiarity with CRM systems and their integration with marketing analytics.
• Certification in relevant analytics tools or methodologies.
• Continuous learning and staying updated on industry trends in marketing analytics.
• Experience with attribution modeling for cross-channel marketing analysis.
• Understanding of customer journey mapping and its impact on analytics.
• Knowledge of marketing ROI measurement and reporting.