At least 3+ years of experience in an analytics &/or data science function
Proficiency in SQL, R or Python programming languages
Knowledge in data visualization tools such as Tableau and Looker Studio
Knowledge in database platforms such as Snowflake, BigQuery, MongoDB
Knowledge in Google Analytics, Firebase, App analytics, Social Media Analytics Tools
Knowledge in descriptive, diagnostic, predictive &/or prescriptive analytics
Strong problem-solving and critical thinking abilities to turn data into actionable insights.
Excellent communication and storytelling skills to translate complex data into business strategies.
Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.
Benefits
Equity / stock options
Additional Information
At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.
Job Description
Responsible in the extract of meaningful insights and recommendations from complex datasets to drive data-driven decision making within the organization. Works closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data requirements and provide valuable insights to support strategic initiatives and optimize business processes.
DUTIES AND RESPONSIBILITIES:
Product Data Strategy & Execution
Define and implement a data-driven approach to product decision-making.
Ensure data collection, tracking, and reporting are aligned with product goals.
Educate and evangelize data-driven decision-making, ensuring Product Managers and stakeholders have the skills and tools they need towards self serve Analytics platforms
Performance Monitoring, Data Communication and Storytelling
Track and analyze performance of business objectives and KPIs through creation and delivery of reports, dashboards, analytical studies and data models to key stakeholders to guide decisions and actions
Effectively communicate data insights to stakeholders through presentations, reports, and visualizations.
Translate complex data into actionable recommendations for product improvement.
User Behavior and Market Analysis
Benchmark product performance against competitors and industry standards.
Cross-Functional Collaboration
Collaborate with front-end CFUs and technical groups in translating product quality measures into data dimensions, attributes &/or schema
Manage relationships with 3rd party vendor/agency to establish win-win business partnerships
Support awareness, engagement and marketing analytics for customer value and retention KPI's
Data Governance & Tool Infrastructure Development and Management
Assess the current analytics infrastructure, identifying gaps and opportunities to implement scalable tooling, dashboards, and data frameworks.
Ensure data integrity, accuracy, and accessibility across analytics platforms.
Evaluate and implement new analytics tools and technologies to enhance data collection and analysis capabilities.
Contribute to the development of data infrastructure and pipelines to support product analytics needs.
TOP 3-5 DELIVERABLES:
Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.
Reports automation and operationalization to ensure minimal manual work needed
Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.
Develop predictive models and algorithms to forecast future trends, identify potential risks, and optimize business performance. Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.
Globe · 18f The Globe Tower