Data Analyst

Responsibilities include, but are not limited to:

• Work closely with stakeholders from Marketing, Revenue and Sales Operations to identify and understand the business objectives and focus on analytics requirements.
• Develop and maintain SQL queries, stored procedures and data pipelines to support business reporting.
• Ensure data accuracy and consistency across data sources and reports.
• Create, manage and optimize insightful reports including critical metrics, KPIs and dashboards using multiple data sources and deliver actionable insights to relevant decision-makers.
• Perform deep-dive data analysis to identify trends, patterns and opportunities for improvements.
• Develop a regular cadence of delivering data-driven insights to key stakeholders and executive leadership.
• Create and maintain SOPs and documentation for the process for data models and analysis.

Required Qualifications:

• Bachelors in Technology or BS/MS in a quantitative/analytical discipline such as Analytics, Statistics, Economics, Data Science, and/or Applied Math.
• 4-5 year of experience in data analysis and reporting
• At least four years of experience with advanced SQL for data extraction, transformation and modelling.
• At least two years of experience with data visualization tool like Power BI
• Advanced-level proficiency in Microsoft Office (e.g., Excel and PowerPoint)
• Analytical thinker with a strong passion for visualization, analysis, and evangelizing data usage.
• Strong project management and prioritization skills. Must have the ability to manage multiple priorities in-order-to meet timelines.
• Prior experience delivering results and working and coordinating with delivery teams across time zones.
• Excellent written and verbal communication skills. Strong ability to influence senior leadership decision-making and secure executive level buy-in.

Preferred Qualifications:

• Experience in B2B reporting.
• Experience with Python or R.
• Experience with marketing campaign planning, execution, reporting, and optimization, including basic understanding of key marketing terminology.
• Experience analyzing digital web marketing performance using tools like Google Analytics, Adobe Analytics, etc.