Edtech.com's Summary

KnowBe4 is hiring a Snr. Data Analyst (Finance). This role entails managing master data sets, developing reports, and resolving data issues while collaborating with leadership to implement advanced analytical models and data-driven solutions. The analyst will support financial planning, enhance reporting, and contribute to due diligence for acquisitions.

Highlights

Manage master data set and troubleshoot data integrity issues
Develop and automate reports and dashboards for FP&A and stakeholders
Create and maintain databases and data collection systems to optimize analytics
Analyze SaaS and financial metrics including ARR, churn, and lifetime value
Support short-term and long-term financial planning and forecasting models
Liaise across finance and non-finance teams to improve data processes
Collaborate with Revenue Operations to improve financial reporting and analytics
Assist with due diligence in company acquisitions
Proficiency in SQL, Python, R, advanced Excel, BI tools (Looker, PowerBI, Tableau), and databases (DBT, Snowflake, Gitlab)
Bachelor’s degree in a quantitative discipline required; Master’s preferred; minimum 3 years in SaaS data analysis

Snr. Data Analyst (Finance) Full Description

About KnowBe4

KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day.

Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work.

Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.

The Senior Data Analyst will be responsible for managing our master data set, developing reports, and troubleshooting data issues. In addition, the individual in this position will work closely with the VP of FP&A and Director of Analytics to implement advanced analytical models and other data-driven solutions.

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

Minimum Qualifications:

Bachelor’s Degree in Mathematics, Economics, Finance, Computer Science, Information Management or Statistics required
Master’s Degree in Mathematics, Statistics, or other quantitative discipline preferred
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

Our Fantastic Benefits

We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, and a relaxed dress code - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits.

Note: An applicant assessment and background check may be part of your hiring procedure.

Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.

No recruitment agencies, please.

Original Job Description

About KnowBe4

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

Minimum Qualifications:

Bachelor’s Degree in Mathematics, Economics, Finance, Computer Science, Information Management or Statistics required
Master’s Degree in Mathematics, Statistics, or other quantitative discipline preferred
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

Our Fantastic Benefits

Note: An applicant assessment and background check may be part of your hiring procedure.

No recruitment agencies, please.

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Snr. Data Analyst (Finance)

Edtech.com's Summary

Snr. Data Analyst (Finance) Full Description

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