Data Analyst

About The CompanyBeamer and Userflow are innovative technology companies dedicated to empowering product-led growth (PLG) organizations through cutting-edge tools and solutions. Our mission is to revolutionize how product teams engage with their users, make data-driven decisions, and accelerate growth. We focus on delivering powerful, no-code software that simplifies complex workflows, enhances user engagement, and drives measurable business results. Our teams are composed of passionate professionals committed to creating impactful products that shape the future of SaaS and B2B industries. As part of our organization, you will join a forward-thinking environment that values innovation, collaboration, and continuous learning.

About The RoleWe are seeking a skilled Data Analyst to join our dynamic team. In this role, you will leverage your expertise in SaaS business metrics and data analysis to uncover insights from complex datasets. Your primary responsibility will be analyzing trends, identifying opportunities, and providing strategic recommendations that influence product development, marketing strategies, and customer success initiatives. You will play a pivotal role in promoting data adoption across the organization, working closely with engineering teams to ensure seamless data flow into our data lakes and pipelines.

Additionally, you will collaborate with the data platform team to develop and maintain ETL processes, conduct in-depth analyses, and create interactive dashboards using Python-based tools such as Jupyter and Streamlit. This position offers a unique opportunity to be at the heart of our data-driven culture, making a tangible impact on our company's growth and success. Qualifications3+ years of experience working with large datasets, models, and building ETL pipelinesProven track record of using data insights to drive business outcomesFluent in Python, SQL, and build tools such as GITExperience with data manipulation and visualization tools like Jupyter, Streamlit, Plotly, etc.

Hands-on experience developing ETLs to enrich and optimize data within data lakesAbility to collaborate effectively with stakeholders to develop comprehensive data analysesStrong analytical skills with the ability to connect data, tools, UX, and business goalsComfortable working with ambiguous requirements and digging into data to guide decision-makingExcellent storytelling skills to let data tell compelling storiesUnderstanding of data integrity, lineage, and working with clean, trusted datasetsSaaS or B2B startup experience is highly preferredExperience building tools or scripts to solve complex business problems using dataResponsibilitiesAnalyze complex datasets to identify trends, opportunities, and areas for improvementCollaborate with engineering teams to ensure proper data flow into data lakes and pipelinesDesign, develop, and maintain ETL processes to optimize data for analysisCreate interactive dashboards and visualizations using Python-based tools like Jupyter and StreamlitWork closely with stakeholders across product, marketing, and customer success teams to understand data needsTranslate ambiguous requirements into clear data analysis strategies and solutionsEnsure data quality, integrity, and trustworthiness through rigorous validation and lineage trackingChampion data-driven decision-making and promote data adoption across the organizationStay updated with the latest data analysis tools and techniques to continuously improve processesBenefitsOpportunity to work with a mission-driven team passionate about product and customer growthFully remote and flexible work environment supporting work-life balanceContinuous learning and professional development opportunitiesCollaborative and inclusive company culture emphasizing innovation and teamworkCompetitive compensation packages and benefitsParticipation in shaping the future of product-led growth technologyEqual OpportunityWe are an equal opportunity employer committed to fostering an inclusive environment for all employees.

We celebrate diversity and are dedicated to creating a workplace that reflects the broad range of backgrounds, perspectives, and experiences of our team members. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status following applicable laws.