Chartmogul is a subscription analytics platform that helps businesses track, analyze, and optimize their recurring revenue. It provides insights into key metrics such as MRR, churn rate, and customer lifetime value to support data-driven decision-making.
About Chartmogul
Chartmogul was created in 2014 to address the need for better subscription analytics. It aimed to help businesses understand and optimize their recurring revenue by providing detailed insights into metrics such as MRR, churn rate, and customer lifetime value.
Chartmogul's strengths included comprehensive subscription analytics, user-friendly interface, and robust integration capabilities. Its weaknesses involved limited customization options and occasional data syncing issues. Competitors included Baremetrics, ProfitWell, and Zuora.
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How to hire a Chartmogul expert
A Chartmogul expert must have strong skills in data analysis, proficiency in SQL, experience with API integrations, and familiarity with subscription metrics. Knowledge of data visualization tools and a solid understanding of SaaS business models are also essential.

Jonathan S.
Skills
A dedicated professional specializing in Data Analysis, with a diverse background spanning sectors such as healthcare and services. Currently serving as a Supply Analyst and Key User of SAP MM, responsible for managing the integration and application of the Materials Management module with hospital management systems, effectively optimizing processes and enhancing operational efficiency. Beginning a career in inventory management at ArcelorMittal, this individual developed strong material management and inventory control skills. Further experience at SEBRAE involved implementing performance indicators for training programs, while tenure at Chevrolet honed sales techniques and client relationship skills. At Kora Saúde, transitioned from Administrative Assistant to Supply Analyst, leveraging Business Intelligence (BI) tools to automate tasks and establish interactive dashboards for monitoring resource consumption across hospital networks. The implementation of a data warehouse and ETL processes transformed decision-making, enabling real-time insights that significantly improved processes. Committed to continuous skill enhancement, the focus remains on driving efficiency and innovation in supply management and data analysis.

Rogerio B.
Skills
With nine years of experience in data science and four years serving as Head of Data Science, this professional excels in leveraging artificial intelligence, advanced machine learning, and deep learning to tackle complex business challenges. Demonstrated expertise in programming languages such as Python, R, and SQL, coupled with proficiency in data visualization tools like Tableau, Power BI, and Data Studio, empowers the ability to transform raw data into actionable insights. Notable achievements include the development of a predictive credit scoring model and leading data initiatives that enhance strategic decision-making, optimize performance, and drive measurable business outcomes.

Evandro U.
Skills
A seasoned Business Administrator with nine years of expertise in the field, coupled with strong capabilities as a Full Stack Developer adept in languages and technologies such as C#, PHP, SQL, HTML, and CSS. Possessing a comprehensive understanding of Python, R, and ETL tools, and demonstrating significant experience in Linux environments, data visualization with PowerBI and Tableau, and advanced functionalities of Excel. Earned a Bachelor's degree in Statistics from the Federal University of Paraná, showcasing robust skills in statistics, data analysis through applied mathematics, and statistical mechanics. Exhibiting exceptional proficiency in writing, communication, and rhetorical skills, underpinned by interests in literature, philosophy, comparative religion studies, jazz music, and physical fitness. Proven ability in leadership, management of personnel, conflict resolution, and fostering strong interpersonal relationships, alongside a capacity for rapid logical reasoning.

Cíntia N.
Skills
Data Analysis Specialist with expertise in collaborative team environments and a background in documentation development and prototyping. Possesses proficiency in a variety of data analysis tools, such as Tableau, Qlik Sense, Qlik View, Google Analytics (GA3 and GA4), Google Tag Manager, Big Query, and Looker Studio. Demonstrates a strong understanding of Firebase, MySQL, PostgreSQL, and Android Studio.

Marcos M.
Skills
Marcos is a Data Analyst with nine years of experience. He specializes in SQL and Power BI and is proficient in Python, Tableau, and ETL processes. Marcos is talented at creating impactful dashboards and ensuring alignment with business objectives

Leandro P.
Skills
Leandro is a Senior Product/Project Manager. He is experienced in product development and user-centered design and is a certified Lean Inception Trainer and Design Sprint facilitator.

Wolney B.
Skills
Data Analyst and Data Scientist with a focus on analytical, strategic, adaptive, and innovative approaches. Extensive experience encompasses data manipulation and analysis, data visualization, indicator management, and A/B testing. Dedicated to the fields of Data Science, Analytics, and Business Intelligence. Academic credentials include a technical degree in Electronics from Escola Técnica Pandiá Calógeras, a degree in Mechanical Engineering from Universidade Federal Fluminense, and postgraduate qualifications in Analytics and Business Intelligence from Pontifícia Universidade Católica de Minas Gerais. Additional training in Data Science and Machine Learning has been undertaken through Tera. Demonstrates proficiency in SQL, PySpark, Databricks, Power BI, Tableau, and Excel, alongside advanced English language skills.

Fernando R.
Skills
A qualified professional with over 10 years of experience in information management, specializing in identifying gaps through statistical analysis to inform decision-making. Proficient in BI tools such as Power BI and Tableau, as well as programming languages including R and SQL, alongside advanced Excel capabilities. Demonstrates extensive experience in analyzing sales processes (Sell In and Sell Out), pricing strategies, strategic planning, and enhancing business routines across various regions, channels, and products/categories. Displays a strong aptitude for rapid learning of new activities and technologies, continuously updating knowledge on market trends and innovations.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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