ANALYTICS HEAD SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: May 5, 2025 – The Analytics Head has extensive analytical expertise combined with strong knowledge of system architecture, database structures, and proficiency in frontend tools such as Tableau, PowerBI, and Alteryx, ensuring effective data-driven solutions. Deep technical skills in SQL scripting, Python, NodeJS, web scraping, and networking enable robust data extraction and processing capabilities. Strong problem-solving ability and clear business communication skills support the translation of complex analytics into actionable business strategies.

Essential Hard and Soft Skills for a Standout Analytics Head Resume
  • Analytics
  • Data-driven Decision Making
  • Machine Learning
  • Data Infrastructure Management
  • Statistics
  • Data Mining
  • Visualization
  • Model Development
  • Automation
  • KPI Analysis
  • Leadership
  • Business Strategy
  • Collaboration
  • Problem Solving
  • Stakeholder Influence
  • Team Management
  • Client Collaboration
  • Cross-selling
  • Technology Implementation
  • Performance Optimization

Summary of Analytics Head Knowledge and Qualifications on Resume

1. BS in Data Science with 4 years of Experience

  • Digital advertising or marketing analytics experience
  • Total professional experience in mobile app advertising
  • Professional experience working in mobile gaming
  • Experience building out teams of 20+ individual contributors and managers
  • Experience managing and developing global teams across time zones
  • Excellent quantitative, analytical, and communication skills
  • Proven ability to turn data into actionable intelligence
  • Experience managing the workflow and the professional development of a team of analysts
  • Experience working directly with business teams to drive results
  • Strong organizational and time management skills
  • Excellent presenter, influencer, and writer

2. BS in Applied Mathematics with 7 years of Experience

  • Hands-on experience in an analytics/business intelligence/data science function
  • Experience in end-to-end services, including data gathering, analysis, and scalable deliverables
  • Experience working in a fast-moving environment with large, complex, and high-velocity data
  • Proven track record of managing and developing analytics/business intelligence/data science teams to use data and influence business outcomes and processes
  • Solid knowledge of statistics and modeling for product analytics and marketing analytics
  • Proven experience in formulating analytics solutions to cater to business problems
  • Proven ability in developing a long-term analytics roadmap to meet business needs and to communicate with product and business stakeholders
  • Strong business acumen with exceptional numerical and analytical skills and demonstrated ability to develop clear executive-level presentations
  • Experience in providing forecast scenarios under uncertainty
  • Profound knowledge in direct marketing, experimental design, customer analytics, segmentation, and modeling
  • Ability to work well under pressure and manage multiple projects and deadlines simultaneously

3. BA in Economics with 5 years of Experience

  • Experience in data analytics for a consumer-facing, digital-first business
  • Proven leader with extensive people management experience
  • First-class communication skills and a natural presenter
  • Excellent influencing and stakeholder management skills
  • Results-oriented with strong influencing, problem-solving, and negotiation skills
  • Hands-on experience with Statistical tools such as R (or SPSS), SQL, and/or Python - Statistical Programming
  • Familiar with KNIME and/or other automation tools
  • Good knowledge of Google Analytics and BigQuery
  • Strong Data Visualization skills and experience with Power BI, Tableau, or other data visualization tools.
  • Passion for research and data, and be highly skilled in performing quantitative analyses on various business functions, such as consumer behaviour and trends.
  • Must be highly skilled in the use of SQL, being able to draw complex queries that ultimately lead to improvements in business performance.

4. BS in Statistics with 8 years of Experience

  • Related analytical work experience
  • Excellent understanding of system architecture and database structure, and setup
  • Solid understanding and sound experience in frontend tools such as Tableau, PowerBI, QlikView, or Spotfire
  • Strong understanding and sound experience in Alteryx
  • Excellent understanding of SQL scripting (preferably Microsoft SQL Server)
  • Working knowledge of Python or NodeJS
  • Experience with web scraping/mining (understanding HTML document structure, CSS selectors, and challenges caused by JavaScript-based dynamic content)
  • Experience working with HTTP and Networking
  • Ability to communicate abstract analytical findings or concepts in simple business language
  • Able to work collaboratively, define problems, and identify solutions to resolve them in business and analytical settings
  • Ability to think through problems and quickly develop solutions - long-term approach to problem-solving