Key Responsibilities
- Data-Driven Sales Solutions Strategy
- Leverage machine learning, data science, and automation to improve customer data platforms and business development strategies.
- Utilize business intelligence (BI) tools and data visualization to support strategic decision-making.
- Process Optimization & Automation
- Lead transformation and automation projects to enhance operational efficiency.
- Develop and implement process improvement frameworks.
- Data Infrastructure & Tools
- Collaborate with data engineering teams to ensure data availability, quality, and governance.
- Champion the use of modern analytics tools and platforms (e.g., Power BI, Tableau, Python, R, SQL, cloud-based data warehouses).
- Evaluate and implement new technologies and methodologies to enhance analytics capabilities.
- External Data & API Management
- Identify, evaluate, and integrate third-party and external data sources to enhance internal analytics.
- Develop frameworks for combining internal and external data to generate deeper market and customer insights.
- Manage API integrations with external data providers, ensuring secure, scalable, and efficient data access.
- Analytical Tool Development
- Lead the design and development of custom analytical tools, dashboards, and applications to support business users.
- Collaborate with engineering and IT teams to ensure scalable and secure deployment of analytics solutions.
- Stakeholder & People Management
- Lead a team with a focus on coaching, mentoring, and talent development.
- Collaborate with global stakeholders across sales, marketing, operations and core analytics teams.
- Align regional and global initiatives for seamless execution and enhanced business outcomes.
- Salesforce Expertise:
- Deep understanding of Salesforce development and architecture (Apex, Lightning Web Components, Flows, Process Builder, etc.)
- Solid grasp of Salesforce integrations with external systems using REST and SOAP APIs, Salesforce Connect, and External Data Sources
- In-depth knowledge of querying and reporting using SOQL, SAQL, and other data analysis methods.
Core Competencies
- Strong analytical thinking and problem-solving skills. o Excellent communication and storytelling abilities.
- Ability to work in a dynamic, fast-paced environment, leading cross-functional teams.
- Leadership and team development experience.
Technical Skills
- Proficiency in SQL, Python, SAS, Power BI, VBA, and RPA technologies.
- Strong expertise in Data Analytics, Salesforce, Machine Learning, Data Science, and Automation.
- Extensive experience in Business Intelligence (BI), Data Visualization, and Advanced Analytics.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is must.
Preferred Experience
- 8+ years of experience in data analytics, business intelligence, or data science.
- 3+ years in a managerial or team leadership role.
- Experience in industries such as logistics, finance, retail, or technology is preferred.