DATA TEAM SUPERVISOR

BASIC FUNCTION:

This position is essential for converting data into vital insights that drive digital growth within our eCommerce tools, enhancing both technical performance and user experience. It combines responsibilities of a team lead and an individual contributor. The role involves conducting data analysis to evaluate user experience and adoption, offering recommendations for Gerdau's go-to-market strategy. As a team lead, the Data Analyst will define requirements, prioritize tasks, and manage the backlog for Customer Insights. They will also coordinate deliverables, scope, and timelines with stakeholders, working closely with the Digital Portfolio Manager to develop action plans, analyze research findings, and present strategies that align with the organization's strategic objectives.

NATURE AND SCOPE:

The Data Analyst will be a champion of Gerdau eCommerce solutions for both external and internal customers. This individual will support the digital analytics program by tracking, measuring, analyzing and reporting insights related to customer journey and into the company's online performance and opportunities. The Analyst will plan and manage the backlog and deliverables of the Customer Insights team and support data science project related to optimizing, estimation and ML. The Data Analyst will be responsible for Customer Insights Power BI reports and workspace (development, testing, timely refresh, quality of the reports and best practices), regression/statistical modeling and predictive capabilities (development and routine analysis). Bases on analysis and insights the Data Analyst will recommend specific actions to drive business objectives.

SUPERVISORY RESPONSIBILITIES & REPORTING STRUCTURE:

• Supervises who (level and number):  No regular employees, will supervise contractors and some coaching is expected
• Reports to:  Digital Portfolio Manager

PRIMARY DUTIES AND RESPONSIBILITIES:

The Data Analyst will perform these duties with minimal management validation:

1. Lead the Team: Provide guidance to the team, manage day to day tasks and facilitate collaboration.
2. Data Planning: Coordinate with the Commercial digital team to support the data process mapping for new features and/or business processes. Plan data flows, data collection, KPIs and ROI for new solutions.
3. Data Collection and Integration: Collect and compile data from various sources, ensuring accuracy and completeness. Ensure the accuracy and integrity of sales data through regular validation and reconciliation. Work with IT and data engineering teams to integrate and transform data from various sources for effective reporting.
4. Data Analysis: Perform basic and advance data analysis using statistical methods and data visualization tools. Conduct in-depth analysis of business data to identify trends, patterns, and opportunities for improvement. Conduct ad-hoc analysis as needed to support strategic initiatives and decision-making.
5. Power BI Development: Design and develop interactive and visually appealing Power BI reports and dashboards that effectively communicate key insights to both technical and non-technical audiences.
6. Requirements Gathering and Backlog Planning: Work closely with stakeholders to understand business requirements of the new digital tools/features and translate these into technical backlog requirements for the team.
7. Manage Backlog and Test Solution: Plan and prioritize deliverables for all team members, manage cross teams’ dependencies. Test data solutions to make sure all the development requirements are met.
8. Google Tags: Leverage Google Tools and Tag Manager to implement analytics, events and custom dimensions to measure success. Plan data collection related to the new features, and update existing mapping. Work with IT to implement.
9. Report Optimization: Identify and implement improvements to enhance the performance and efficiency of Power BI reports.
10. Documentation: Document data analysis processes, methodologies, and findings for future reference.
11. Training and Support: Provide training and support to sales teams on utilizing and interpreting sales reports.
12. Continuous Improvement: Stay updated on Power BI features, best practices, and industry trends to enhance reporting capabilities.

QUALIFICATIONS AND EDUCATIONAL REQUIREMENTS:

• Requires a bachelor’s degree in data science, data analysis, business, finance or a related area.
• + 5 years of experience in business intelligence, data analysis, marketing analytics or related analytical roles preferred.
• Experience in a wide variety of quantitative and qualitative research methodologies, using standard databases and analytical software.
• Analytical mindset with a keen eye for detail and accuracy.
• Analytically focused and have proven experience developing action plans based on their own analysis.
• Strong understanding of data modeling and data visualization best practices.
• Ideally experience in data science projects.
• Proficiency in SQL, python is a plus. 
• Expertise in creating complex Power BI reports and dashboards.
• Preferred working knowledge of tools and solutions such as Google Analytics, Google Tag Manager, Big Query and Databricks, Datadog.
• Familiarity with A/B testing methodology & solid foundation in statistics.
• Preferred basic experience in SAP.
• Excellent communication and collaboration skills with the ability to work with cross-functional teams.
• Experience in planning and performing data analysis projects and processes from start to finish.
• Time management, critical thinking and problem-solving skills are required.
• Strong organizational skills, customer focus, work creatively and analytically to solve day-in and day-out problems.
• Requires proven ability to establish and maintain strong, positive relationships with commercial and operations teams.
• Prior knowledge and experience in manufacturing, steel or steel using industries preferred.

The Data Analyst may be required to travel approximately four times per year to visit customers, mills, seminars, trainings and/or attend trade shows and trade association meetings.