Business Analyst

View full description

Requirements:

• Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Computer Science, or Engineering) or equivalent practical experience.
• 3 - 5 years of direct experience in business reporting (e.g. marketing & sales), conducting data analysis, building self-service reporting and analytical tools, and delivering business insights in an environment of rapid growth and increasing complexity.
• Experience in managing datasets and data visualization tools (e.g., Data Studio, Tableau, or equivalent) is a must.
• Advanced spreadsheet and intermediate SQL skills along with familiarity with data modeling (e.g. revenue forecast and campaign projections) is a must.
• Understanding of statistics to run A/B tests to optimize funnel performance.
• Strong understanding of financial modeling.
• Comfortable with the whole analytical process from identifying insight gaps to designing and running initiatives to fill them.
• Experience with digital advertising measurement methods and technologies.
• Analytical and quantitative skills, ability to use data and metrics to back up assumptions and concepts.
• Strong and effective data storytelling (visual, written, and oral) communication skills to complement and clearly convey data findings.
• Expertise in data visualization software (E.g. QuickSight, Tableau, PowerBI, QlikView, etc.) for effective data presentation is a plus.
• People management experience is a plus.
• Strong ability to adapt to a fast-paced environment.
• Self-starter with strong organizational, time management, and prioritizing skills.
• Fluency in both written and spoken English Language and ability to communicate technical content to the general audience.

Responsibilities:

• Consolidate data from various sources, review and curate into comprehensive reports, presentations and dashboards containing meaningful metrics and insights for business functions (e.g. sales & marketing).
• Maintain reporting and analysis of key performance indicators and operating metrics, along with monthly, quarterly and annual forecast plans.
• Deliver data support by accessing and working with large data from multiple sources, and partnering it with the business to identify opportunities and deliver results.
• Conduct data analysis to solve business problems through the use of statistical and/or machine-learning models.
• Integrate systems and data effectively and efficiently, working across teams as necessary.
• Build forecasts, statistical models, segmentation schemes, and data-driven analysis to drive marketing efforts around customer acquisition and conversion.
• Manage and track campaign performances including conducting all analysis and post-campaign reporting.
• Provide key data insights to help shape new or existing campaigns, identify growth opportunities, and improve budget investments.
• Produce dashboards and reports to support the Marketing Team to assist them on campaign performance management (by channel) and content & creative performance (Social media, Emails & Blogs).
• Support Management on ad hoc requirements such as new business case development & business review deep dives.
• Define, develop & document business processes and procedures to improve administrative efficiency.
• Educating and enabling stakeholders for self-service of business data.