About Company Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently. Role Overview We are seeking a skilled Data Analyst to support enterprise data management, governance, analytics, and reporting initiatives. The role focuses on data analysis, data modeling, BI dashboard development, and data quality validation to help deliver a scalable, governed, and insight-driven data environment. The analyst will collaborate closely with business stakeholders, data engineers, and governance teams to unify and enhance the organization’s data assets. Key Responsibilities • Data Analysis & Requirements Gathering – Work with business users to define reporting requirements, KPIs, and data quality rules. • Data Modeling – Design and validate logical and physical data models across domains for consistency and interoperability. • ETL Data Validation – Collaborate with data engineering teams to validate ETL/ELT outputs, ensure data completeness and accuracy. • Business Intelligence Development – Build and maintain Power BI dashboards, reports, and visualizations for corporate KPIs, forecasting, and operational analytics. • Data Quality & Governance – Profile data, identify anomalies, and support the remediation process in alignment with governance policies. • Metadata Management – Support cataloging activities in Collibra or Microsoft Purview, including lineage, classifications, and glossary updates. • Advanced Analytics Support – Assist with exploratory analysis, statistical modeling, and data preparation for machine learning initiatives. • User Enablement – Provide training and support for self-service analytics, ensuring governed access and usability. • Collaboration – Partner with cross-functional teams (engineering, governance, BI, business units) to deliver high-quality data solutions. Requirements • 7+ years of experience as a Data Analyst in data-centric environments. • Strong SQL skills for data querying, validation, and analysis. • Proven experience with Power BI (DAX, Power Query, data modeling). • Familiarity with Azure Data Services (Azure SQL, Azure Synapse, ADLS). • Understanding of data governance and metadata management tools (e.g., Collibra, Microsoft Purview). • Experience in data profiling, quality assessment, and validation techniques. • Exposure to ETL/ELT processes and collaboration with data engineering teams. • Excellent analytical, problem-solving, and communication skills. Nice to Have • Experience with Databricks for exploratory analysis and transformation. • Familiarity with predictive/prescriptive analytics concepts. • Background in working with multiple data types (structured, semi-structured, unstructured). • Knowledge of data marketplace or data catalog implementations. Skills: azure data services,communication skills,microsoft power bi,power bi,collibra,data governance,power query,business intelligence development,data profiling,azure synapse,data analysis,data quality,sql,azure data factory,dax,etl validation,analytical skills,business intelligence,metadata management,microsoft purview,etl/elt,data modeling,adls