Senior Data Analyst

Summary

Join KnowBe4 as a Senior Data Analyst and manage our master data set, develop reports, and troubleshoot data issues. Collaborate with the VP of FP&A and Director of Analytics to implement advanced analytical models and data-driven solutions. Interpret source data, analyze results using statistical techniques, and provide ongoing reports. Ensure data accuracy and integrity, maintain and automate data sets, and develop databases and data collection systems. Support FP&A analytics, create and analyze SaaS and financial performance metrics, and participate in financial planning. Liaise between finance and non-finance teams, collaborate with Revenue Operations, support data integrity initiatives, and assist in due diligence for acquisitions. The role requires a Bachelor's degree and 3+ years of experience as a data analyst in a SaaS business.

Requirements

• Bachelor’s Degree in Mathematics, Economics, Finance, Computer Science, Information Management or Statistics required
• A minimum of 3 years of proven working experience as a data analyst or business data analyst in a SaaS business
• Experience with statistical computer languages (SQL, Python, R etc.) to manipulate and analyze large datasets
• Advanced Excel skills
• Experience analyzing SaaS business metrics with focus on Annual Recurring Revenue (ARR), customer acquisition metrics, churn rates, and lifetime value
• Detail oriented with the ability to identify anomalies in data
• Experience with BI tools (Looker, PowerBI, Tableau)
• Experience with databases, query languages, and associated data architecture (DBT, Snowflake, Gitlab)
• Ability to work in a fast-paced environment and adapt to change
• Strong analytical skills and ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent time management and organization skills

Responsibilities

• Interpret source data, analyze results using statistical techniques and provide ongoing reports
• Work to ensure accuracy and integrity of data, as needed
• Maintain, automate, and increase efficiency of data sets
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Support FP&A analytics mission to generate datasets or create new reports/dashboards and visualizations to communicate results to our stakeholders
• Create and analyze SaaS and Financial performance metrics to identify key drivers for expenses, revenues and business risks
• Participate in short-term and long-term financial planning exercises
• Create financial forecasting model to support financial forecasting and planning processes
• Liaise between finance and non-finance teams to support data collection, cross company initiatives, infrastructure development and process improvements
• Collaborate with Revenue Operations to enhance financial reporting and analytics
• Support initiatives for data integrity and normalization
• Assist in due diligence process for company acquisitions
• Perform ad-hoc financial analysis and reporting to support business operations, as requested

Preferred Qualifications

Master’s Degree in Mathematics, Statistics, or other quantitative discipline preferred

Benefits

• Company-wide bonuses based on monthly sales targets
• Employee referral bonuses
• Adoption assistance
• Tuition reimbursement
• Certification reimbursement
• Certification completion bonuses
• A relaxed dress code