Senior Data Analyst
$44K-$78K (Glassdoor est.)
KnowBe4, Inc. is a high growth information security company. We are the world's largest provider of new-school security awareness training and simulated phishing. KnowBe4 was created to help organizations manage the ongoing problem of social engineering. Tens of thousands of organizations worldwide use KnowBe4's platform to mobilize their end users as a last line of defense and enable them to make better security decisions.

We are ranked #1 best place to work in technology nationwide by Fortune Magazine and have placed #1 or #2 in The Tampa Bay Top Workplaces Survey for the last four years. We also just had our 27th record-setting quarter in a row!

The Senior Data Analyst will work closely with the Vice President of FP&A and Director of Analytics to implement advanced analytical models and other data-driven solutions.

Responsibilities:
Review and analyze source data and ensure data accuracy and integrity
Work with stakeholders to understand their available data, optimize associated data model and create business insights
Work alongside the Data Scientists to ensure accuracy and integrity of data, as needed
Extract, transform, and load data from source systems into data warehouse
Work with data engineers and scientists to automate and refine data pipelines
Maintain, automate, and increase efficiency of data sets
Visualization of data in reports and dashboards to communicate results to the business
Perform ad-hoc analysis, presentations and other projects as required
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
Create forecasting model to support FP&A processes
Minimum Qualifications:
Master's degree in Mathematics, Statistics, or other quantitative discipline required
A minimum of 0-3 yrs in a similar data analyst role
Experience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets
Detail oriented with the ability to identify anomalies in data
Able to work with and mine large amounts of data
Experience with descriptive statistical analysis, predictive modeling experience preferred
Experience visualizing data to communicate findings for a non-technical audience
Experience with databases, query languages (SQL), and data modeling
Ability to work in a fast-paced environment and adapt to change
Strong analytical skills and ability to meet project deadlines
Excellent time management and organization skills
Advanced Excel skills, including vba is a plus
Note: An applicant assessment, background check and drug test may be part of your hiring procedure.

No recruitment agencies, please.
KnowBe4
4.8
KnowBe4
