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.