About Revenera
How We Roll - Our Culture is built on these Core ValuesCandorTell it like it is — solve problems by dealing with them head onPassionWhat we do may not be for everyone, but we devour it and love making our customers successfulProfessionalism and EthicsAnyone can just "have a job" — we look for people that strive to “go pro”Keep ScoreAccountability and transparency are vitally importantCelebrate SuccessLife is short and we work hard to keep our company operating at a high levelGive BackWe expect to give back to the communities in which we do businessRead More

Revenra

Senior Data Analyst

Technical Support Engineer

Senior Software Engineer

Digital Solutions Success Manager

Senior Site Reliability Engineer

Product Manager

Staff Security Operations Engineer

Technical Consultant

The Senior Data Analyst will analyze complex datasets from Product, Engineering, and Marketing to uncover trends and opportunities. They will develop predictive models, build real-time dashboards, and automate reporting processes using tools like Power BI, Excel, and JIRA. The analyst will collaborate with cross-functional teams to provide actionable insights and support data-driven decision-making, including mentoring junior analysts and recommending improvements to enhance efficiency and accuracy. They will present findings through visually compelling reports and presentations.

Revenera helps product executives build better products, accelerate time to value and monetize what matters.&nbsp; 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 &amp; 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.<h2></h2><h2>Key Responsibilities</h2>Data Analysis &amp; 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 &amp; 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 &amp; 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.<h2></h2><h2>Required Skills &amp; Qualifications</h2>- 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 &amp; 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.&nbsp; 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.&nbsp; Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing <a rel="noopener noreferrer" target="_blank" href="mailto:careers@flexera.com">careers@flexera.com</a>.

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We are seeking a talented and self-motivated Data Scientist / AI Engineer to join our team. In this role, you will design, build, and deploy next generation AI-driven tools for market research. You will work at the intersection of data science and AI engineering.  You will design and build AI-powered applications to analyze, summarize, and generate insights from survey data.  You will collaborate with data analysts, product managers, UI designers, and software developers to create great products.

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We handle the most difficult data problems at our company, including massive datasets, missing data, self-selection, measurement error, fraud detection, attrition, and many more. &nbsp; This is a hands-on role that requires both analytical and programming skills.&nbsp; <h3 class="" data-start="595" data-end="685">Here’s a breakdown of what you’ll do (not all of it, just the important stuff):</h3> <ul> <li>Design and build AI-powered applications to analyze, summarize, and generate insights from survey data.&nbsp;</li> <li>Develop and optimize prompts and chains.&nbsp;</li> <li>Build applications to simplify analytics and improve the efficiency of data processing.&nbsp;</li> <li>Work with structured and unstructured data&nbsp;</li> <li>Collaborate with data analysts, product managers, UI designers, and software developers to create great products.&nbsp;</li> <li>Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics.&nbsp;</li> <li>Stay up to date with recent developments in AI and machine learning, including LLMs, embeddings, and RAG pipelines.&nbsp;</li> </ul> <h3 class="" data-start="1158" data-end="1225">These are the essentials you’ll need to get an interview:</h3> <ul> <li>Master’s or PhD in data science or related field.&nbsp;</li> <li> Hands-on experience in data science roles.</li> <li> Proficiency in Python and/or R for data analysis, modelling, and visualization.</li> <li> Experience working with LLM APIs and building LLM-based applications and frameworks.</li> <li> Experience with natural language processing, including topic modelling, text classification, and summarization.</li> <li> Ability to write clean, maintainable, well-documented code.</li> </ul> &nbsp; For roles based in California, New York, Colorado or Washington State, the base salary hiring range for this position is&nbsp;85,000 USD - 110,000&nbsp;USD. 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