Senior Data Analyst (Microsoft Power BI & Microsoft Fabric)

We’re looking for a Senior Data Analyst with deep expertise in Microsoft Power BI and Microsoft Fabric to help drive data-informed decision-making across a dynamic organization. You’ll partner with cross-functional teams to build scalable analytics solutions, transform complex datasets into clear insights, and support strategic initiatives. This role requires a strong balance of technical proficiency, analytical thinking, and communication skills. If you thrive in a fast-paced, remote environment and enjoy turning data into impact, this could be a great fit.Key ResponsibilitiesBuild and maintain robust dashboards and reports using Power BIUtilize Microsoft Fabric to develop and optimize data pipelines and analytics workflowsWork closely with stakeholders to define metrics, KPIs, and reporting needsPerform data extraction, transformation, and modeling to support analytics use casesAnalyze and interpret data to provide actionable business insightsEnsure data quality, consistency, and performance across reporting solutionsPresent insights and recommendations to stakeholders across the organizationCore Requirements5+ years of experience in data analytics or similar rolesStrong hands-on experience with Microsoft Power BI (including DAX and data modeling)Experience working with Microsoft Fabric or similar modern data platformsAdvanced proficiency in SQLExperience with data transformation and ETL processesStrong problem-solving and analytical skillsExcellent written and verbal communication skills in EnglishAbility to work independently in a remote, fast-paced environmentNice-to-HaveExperience with Azure ecosystem tools (e.g., Synapse, Data Factory)Familiarity with scripting languages such as Python or RExperience in high-growth or tech-driven companiesUnderstanding of data architecture and warehousing conceptsAdditionalUS Timezone Overlap: 6-7 hours with GMT-5Self-starter with strong ownership and attention to detailWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.30-45, can go up for very senior