DATA ANALYTICS LEAD SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 4, 2024 – The Data Analytics Lead has extensive experience in the Commercial domain, showcasing expertise in cloud-based ELT, big data tools, and analytics solutions such as SAP-BW and SFDC. This role involves successfully managing delivery teams and agile development practices while collaborating across organizational levels and effectively managing supplier resources. Committed to quality, the lead proactively engages with global stakeholders to drive impactful data initiatives.

Essential Hard and Soft Skills for a Standout Data Analytics Lead Resume
  • Data Analysis
  • Statistical Modeling
  • Data Visualization
  • SQL and Database Management
  • Programming Languages
  • Machine Learning
  • Data Warehousing
  • ETL Processes
  • Big Data Technologies
  • Business Intelligence Tools
  • Leadership
  • Communication
  • Problem-Solving
  • Critical Thinking
  • Team Collaboration
  • Adaptability
  • Time Management
  • Decision-Making
  • Conflict Resolution
  • Emotional Intelligence

Summary of Data Analytics Lead Knowledge and Qualifications on Resume

1. BS in Statistics with 7 years of Experience

  • Relevant experience working in delivering data analytical solutions
  • Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
  • Experience working in programming – Angular, Java, Python, Scala, Spark SQL, Pyspark, Dataframes API
  • Should have experience in Machine Learning Algorithms, Pattern Mining/Detection
  • Proficient in designing efficient and robust Data pipelines
  • Ability to automate the manual workflows, processes, and data loads
  • Ability to visualize and create dynamic robust business dashboards
  • Experience in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding
  • Expertise in all aspects of technology by understanding broader patterns and techniques as they apply to internal and external cloud platforms (AWS, PCF, Akamai)
  • Great attention to detail, diligent, focused, and highly analytical

2. BS in Data Science with 9 years of Experience

  • Expertise in designing and developing data models using Hana XSA Containers, model views as well table functions and procedures.
  • Performance tuning of different data models in Hana, with a detailed understanding of STAR modeling design.
  • Solid understanding of analytics tools like SAP BI Suite (Analysis for Office, WebI, Design Studio), Spotfire and Qlik Sense.
  • Solid understanding of XSA Applications & XSA Models based on XSA Containers, including security design of XSA objects.
  • Expertise in using SLT replication from ECC and CRM sources.
  • Experience in conceptualizing, designing and creating BI Solutions, should be proficient in Data modeling methodologies.
  • Experience with SAP ECC and CRM tables and data structure.
  • Expert knowledge of Data Warehousing and Business Intelligence design principles.
  • Possesses strong business acumen and consistently demonstrates forward thinking.
  • Problem-solving and strong analytical skills.
  • Strong interpersonal skills and demonstrated commitment to teamwork.

3. BS in Computer Science with 8 years of Experience

  • Experience in a highly technical analytics environment, carrying out data analytics or data science work
  • People management experience in a small technical team
  • Advanced knowledge of technical analytics including data preparation, feature engineering, and foundational analytics concepts, model development, and model training
  • Coding and/or modeling experience in SQL/R/Python and/or big data platforms
  • Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks, and activities in dynamic deadline-driven environments
  • Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
  • Must have high attention to detail
  • Experience in generating insights from large customer or transaction data sets
  • Ability to prioritize assignments/projects and multi-task within restricted time constraints.
  • Experience in managing large projects, interacting, and moderating meetings with businesses, steering committees, and business sponsors.

4. BS in Information Technology with 14 years of Experience

  • Business or IT experience in the Commercial domain.
  • Experience in Cloud based ELT, Big Data tools, infrastructure, analytics and visualization
  • Experience running Scrum/Agile development practice (ideally as a product owner or scrum master).
  • Proven track record in successfully managing D&A and/or Commercial delivery teams.
  • D&A management experience, including a decent command of Commercial domain expertise and understanding the related Commercial data solutions like SAP-BW, SFDC, etc.
  • Ability to manage supplier resources and handle escalations
  • Experience in building and leading teams in an agile matrix organization.
  • Working with different levels of the organization (business and IT)
  • Demonstrated career experience in multiple domains (e.g. IT, Commercial, P&S, Finance, Consulting)
  • Thoughtful, collaborative, and proactively ready to engage with stakeholders across the globe
  • Commitment to quality and a thorough approach to work.
Relevant Information
Data Analytics Manager Skills, Experience, and Job Requirements