Senior Data Analyst

Revenera helps product executives build better products, accelerate time to value and monetize what matters.  Revenera’s leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on premises, cloud, and SaaS products.

We are seeking a Senior Data Analyst to join our Product & Engineering Operations team. The ideal candidate is a strategic thinker who excels at transforming complex data into actionable insights that drive business growth, enhance product performance, and improve marketing effectiveness. They will collaborate with cross-functional teams, including Product, Engineering, Marketing, and Security, to build a data-driven approach that influences key business decisions.

Key Responsibilities

Data Analysis & Insights

- Analyze complex datasets from Product, Engineering, and Marketing to uncover trends, correlations, and opportunities for growth.

- Develop predictive models to anticipate product adoption, customer behavior, and operational inefficiencies.

- Provide actionable insights independently to improve product features, customer satisfaction, and marketing strategies.

Reporting, Visualization & Automation

- Build and maintain real-time dashboards and automated reports using tools like Power BI, Excel, and JIRA.

- Present findings through visually compelling reports and presentations that communicate insights effectively to stakeholders.

- Automate data collection and reporting processes to minimize manual effort and enhance data accuracy.

Collaboration & Communication

- Partner with Product, Engineering, Marketing, and Security teams to ensure alignment of metrics and reporting.

- Facilitate data-driven decision-making across teams, supporting strategic initiatives.

Continuous Improvement

- Work with the Operations team to identify gaps in data processes and recommend improvements to enhance efficiency and accuracy.

- Mentor junior analysts and contribute to developing data analytics best practices within the team.

Required Skills & Qualifications

- Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, Business Analytics, or a related field.

Experience

- 5+ years of experience in data analysis, preferably in Product, Engineering, or Marketing environments.

- Proven experience with statistical modeling, predictive analytics, and building dashboards.

Technical Skills

- Advanced proficiency in Excel, Power BI, and data visualization tools.

- Experience with JIRA, Salesforce, and related systems.

- Strong knowledge of statistical models and techniques for analyzing data correlations and making predictions.

- Proficiency in SQL, Python, or R is a plus.

Analytical Skills

- Ability to quickly understand domain-specific challenges and make meaningful insights.

- Exceptional problem-solving skills and attention to detail.

Communication Skills

- Strong written and verbal communication skills for presenting complex findings to various stakeholders.

Collaboration Skills

- Ability to work effectively with cross-functional teams and mentor junior analysts.

Leadership & Growth

- Proactive mindset with a desire to drive change through data.

- Ability to scale analytics practices to support broader organizational growth.

Revenera is proud to be an equal opportunity employer.  Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.  Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing [email protected].