Senior Data Analyst, FinOps

Smarsh is hiring a Senior Data Analyst, FinOps with 5 - 10 years of experience. Based in United States - Atlanta, GA and with Hybrid ways of working.Job description and responsibilities:We are looking for a passionate FinOps Data Analyst to transform the speed and quality of our insights for product costs, infrastructure optimization and data quality. Your work will enable Smarsh to discover and act on cost efficiencies, accurately forecast cost and data usage, optimize cloud spend and deliver predictable profitability. You'll work closely with our FinOps and horizontally across our Enterprise Engineering and Product Management organizations with strong internal partnership with Finance. You’ll be working in PowerBI, Excel or notebooks nearly every day to improve our cost infrastructure, identify savings opportunities and provide timely information to the business.About YouYou’re a rare individual who is equally passionate about data, finance, FinOps, information architecture , cost optimization and SaaS. You see the stories the numbers tell and naturally pursue optimization and automation. You enjoy working across a number of teams, on a variety of hard problems, at a fast pace and are judicious at prioritization. You value technical excellence and you love moving the bar forward every day.How will you contribute?• Mature and improve our information systems for dynamic SaaS cost reporting across products, geographies, and customers.• Work with FinOps to define requirements and prioritize changes that will improve our information quality.• Develop scalable data analysis for cost and usage forecasting, anomaly monitoring, and unit costs, leveraging vendor tools where appropriate.• Create and distribute monthly and quarterly reports on costs (with FinOps) and product profitability (with Finance) for Executives and the Board of Directors.• Be entrusted to lead programs responsible for driving real change.Requirements and qualifications:What will you bring?• 5+ years of work experience in data analysis for public cloud SaaS companies• BS or BA degree in a related field, such as Computer Science, Business or Economics; Master’s degree is a plus• Highly proficient in Power BI including DAX, PowerQuery, multiple data sources, MS Excel and visualizations• Highly proficient in data analysis, including time series, trend forecasting and anomaly detection• Highly proficient in cloud reporting, analysis and architecture• Excellent written and verbal skills, communicating to internal and external stakeholders• Highly organized with a strong ability to prioritize• AWS or GCP Certifications and FinOps certification all a plus• Data science understanding and Python proficiency is a plus