Campaign Analyst Aftersales

Aftersales

This role demands a blend of technical expertise in data engineering and visualization, along with strong analytical storytelling and business acumen.

Key Responsibilities

• Collaborate with senior leadership in Aftersales Marketing and Aftersales Parts Business to identify and prioritize high-impact, data-driven insights across campaigns.
  
• Translate business needs into reporting requirements and develop intuitive dashboards and scorecards using tools like Tableau, Power BI, or QlikView.
  
• Utilize data storytelling to communicate key trends, business opportunities, and performance outcomes to non-technical stakeholders.
  
• Adhere to enterprise BI standards and optimize data queries for performance and scalability.
  
• Build mock-ups and wireframes to define dashboard/report structure; ensure alignment with business objectives.
  
• Define and manage integration points between BI tools and systems like Salesforce Marketing Cloud, SAP, CRM tools, and other internal platforms.
  
• Design and deploy cloud-based data ingestion pipelines leveraging platforms such as AWS, Azure, or GCP.
  
• Explore large datasets to determine structure, cleanliness, and best-fit visualizations for consumption by various business teams.
  
• Act as a change agent in the organization, promoting data-driven thinking and strategic use of analytics across Aftersales Marketing.
  
• Stay abreast of emerging trends and best practices in data science, visualization, and marketing analytics.
  

Qualifications & Skills

• Bachelors Degree in Engineering/ B.Tech
  
• 7 years of experience in campaign analysis, preferably in a digital marketing/aftersales environment.
  
• Strong expertise in digital analytics: social media, email marketing, UTM tracking, Google Analytics, Google Tag Manager, A/B and Multivariate Testing.
  
• 4+ years of hands-on experience with data visualization tools (Tableau, Power BI, QlikView).
  
• Solid understanding of data warehousing, data models, data ingestion, and relational databases.
  
• Experience working with data from Salesforce Marketing Cloud, Sales Cloud, SAP, and internal CRM systems.
  
• Proven experience driving enterprise-level change management in global, cross-functional environments.
  
• Knowledge of ERP/CRM systems such as Microsoft Dynamics 365, Salesforce, SAP.
  
• Experience with SQL, R, Python, or Apache Spark is a plus.