Role : Data Analytics and Engineering/ Data Analyst
Key Skills : Leverage partnerships with the internal analytics and data engineering team.
Assess and provide detailed recommendations for RL initiatives.
KPI Management and Budget Forecasting:
Develop KPI management tools and dashboards.
Location : Burlingame , CA, hybrid - 3 days onsite
Role Description: In this role, the analyst will be responsible for planning, budgeting, communication, and reporting related to Channel Experiences Operations across both existing and future partners. The ideal candidate should have experience in retail and marketing operations, as well as proficiency in data analysis, dashboard creation, and budget management.
The primary focus of the RL Retail Operations Analyst is to ensure that all data, budgets, and records are accurately maintained and easily accessible. Visualization through dashboards is a key aspect. Additionally, mastery and oversight of reports are critical for efficient operations.
The role requires proactive problem-solving skills and the ability to assess and implement solutions. It is impact-driven, emphasizing accuracy and organization. The analyst collaborates across various teams, including channel marketing, finance, operations, sales, analytics, and external vendors, in a dynamic and fast-paced environment. |
Responsibilities: Data Gathering and Cleaning:
Collect and clean data from various sources, including surveys, websites, and external datasets.
Ensure data accuracy and integrity.
Develop and maintain data models.
Analysis and Interpretation:
Analyze sales figures, inventory data, and operational metrics.
Dive deep into retail data to uncover trends, patterns, and opportunities.
Evaluate performance metrics such as sales, inventory, and customer engagement behavior.
Process Optimization and Efficiency:
Build customized processes based on business needs and requirements.
Optimize partner sales and operational reports.
Collaborate with cross-functional teams to streamline operations.
Collaboration and Communication:
Partner with Channel Marketing Managers, Strategic Account Managers, and other stakeholders.
Act as a liaison between global 3rd party labor partners and internal teams.
Foster positive relationships with manufacturer representatives and customers. |
Must have skills: Leverage partnerships with the internal analytics and data engineering team.
Assess and provide detailed recommendations for RL initiatives.
KPI Management and Budget Forecasting:
Develop KPI management tools and dashboards.
Collaborate with Finance on budget forecasting reports.
Operational Insights and Strategic Solutions:
Analyze processes to improve performance for end users.
Propose innovative solutions based on data-driven insights.
Reporting and Data Integrity:
Create comprehensive reports and dashboards for stakeholders.
Ensure data accuracy and consistency within the organization. | |