Senior Commercial Data Analyst

Here at Malwarebytes, we believe that when you’re free from threats, you’re free to thrive. It all started in 2008 with one person who needed help with a malware infection, and a community coming together to find solutions. In that moment in time a product was born for all people, with a mission to rid the world of malware. Our product has since grown and evolved, from removing malware, to protecting devices, to ever-changing prevention. About Malwarebytes Inc. Malwarebytes began after our founder, Marcin Kleczynski, accidentally infected his parents’ computer while downloading a video game as a teenager. At the time, there was no product that could fully solve the problem, so he set out to build one. That early experience shaped our mission: to create protection that works when people need it most. Since then, the digital threat landscape has only grown more complex. Attackers are faster, stealthier, and more sophisticated, while traditional solutions often overwhelm people with complicated tools and settings. At Malwarebytes, we believe protection should be both powerful and refreshingly simple because if security feels too hard to use, people will not use it. That is why our aspiration is always to stay one step ahead: cutting through the noise, stopping threats others miss, and delivering peace of mind in an unpredictable digital world. Malwarebytes is looking for.. Malwarebytes is looking for a collaborative, motivated, and skilled individual (ideally located in the Santa Clara, CA area able to work a hybrid schedule 2 days per week) to join our data and insights group as a Senior Commercial Data Analyst supporting Finance. We are looking for someone who has both strong data analysis skills, including window functions and transformation frameworks, as well as an understanding of common financial KPIs, and whois able tocollaborate with Finance and Marketing/Retention teams in a multiple-project environment. The ideal candidate has hands-on experience with advanced SQL and thedbtCore framework, including advanced materialization options, incremental loads, and Jinja macros. This position also requires an understanding of the Snowflake data cloud platform and the ability to tune data models tooptimizeexecution plans and warehouse usage. You will also need to be comfortable with Git-based CI/CD workflows, including raising PRs against CI and pre-production schemas. The ideal candidate can work with business teams across the company,think outside the boxto solve business problems, andbringsa continuous-learning, can-do attitude. This role is central to building an established, trusted home for all things commercial data at Malwarebytes: pulling data down from Snowflake, building Power BI dashboards for the company to consume, and partnering across Retention/Marketing, Product, and Finance. Below are examples of the projects and strategic initiatives this role will be aligned to: Annual Operating Plan (AOP) metric updates Modeling and support for price increase campaigns ARR model updates and enhancements Compensation: San Francisco Bay Area: $155 - 170K Annually Region 2: $137 - $165K Annually Region 3: $130 - 160K Annually What You Will Do: Translate business and executive requirements into curated financial and operational datasets Build and maintain Power BI dashboards for company-wide consumption Map business metrics to various eCommerce vendors and internal engineering data sources Update revenue system configurations as a result of new product launches and bundle configuration changes Run pre-production versus production data comparisons as part of CI/CD Proactively monitor existing processes and investigate root cause in the event of failures Partner cross-functionally with Retention/Marketing, Product, and Finance while managing multiple projects simultaneously Skills You’ll Need to Have: Understanding of financial KPIs and the ability to work cross-functionally and manage multiple projects simultaneously Advanced SQL, Power BI and basic DAX required Ideally have hands-on experience with the dbt framework (dbt Core), including advanced materialization options, incremental loads, and Jinja macros Familiarity and working exposure with Snowflake, including the ability to tune data model implementations to optimize the execution plan and warehouse usage Experience building and publishing Power BI dashboards Proficiency with Git-based processes and CI/CD workflows, including raising PRs against CI and pre-production schemas Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Finance, or a related field 4-6+ years of experience in analytics engineering, data analysis, or FP&A, preferably in a SaaS or consumer technology environment Comprehensive medical, dental, and vision insurance coverage Employee Referral Bonus Program Wellness programs 401k and employer matching for (US Employees) An opportunity to do something great for yourself and the world! (Benefits and Perks subject to change by country/region) Legal Language: (US Employees Only) Applicants have rights under the Federal Employment Laws: This is to affirm our policy of providing equal employment opportunities to all employees and applicants for employment in accordance with all applicable laws and regulations. Our company will not discriminate against or harass any employee or applicant for employment because of race, color, creed, religion, national origin, sex, sexual orientation, gender identity, disability, age, marital status, familial status, membership or activity in a local human rights commission, or status regarding public assistance. We will ensure that all our employment practices are free of discrimination. Such employment practices include, but are not limited to, the following: hiring, upgrading, demotion, transfer, recruitment or recruitment advertising, selection, layoff, disciplinary action, termination, rates of pay or other forms of compensation, and selection for training, including apprenticeship. We will provide reasonable accommodation to applicants and employees with disabilities whenever possible. #J-18808-Ljbffr