Senior Data Analytics and Visualization Engineer

We are seeking a Senior Data Analytics and Visualization Engineer who is passionate about data and eager to build next-generation visual and analytical solutions. In this role, you will act as a pivotal link between complex raw data and executive decision-making. You will engage with marquee clients across a wide range of diverse sectors—including Finance, Telecom, Media, Insurance, Oil & Gas, Pharma, and more—helping them unlock the true value of their data assets. This role requires a unique combination of visual design mastery, robust data engineering understanding, and excellent stakeholder-facing communication. Our ideal candidate is not just a BI developer, but a strategic engineer who can design end-to-end analytical data flows, optimize database schemas, leverage Python for advanced data tasks, and establish organizational standards for BI delivery. Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent. Responsibilities Advanced Dashboard & Report Development: Design, develop, and deploy highly performant, visually compelling, and intuitive enterprise dashboards and reports (with a primary focus on Power BI, Tableau, or Qlik)Requirement Gathering & Stakeholder Management: Actively liaise with Product Owners, business analysts, and corporate client stakeholders. Conduct detailed analysis of business problems, gather requirements, and facilitate interactive demo sessionsData Modeling & Profiling: Engineer and implement optimal data models (including Dimensional Modeling, Star, and Snowflake schemas). Conduct thorough data preparation, profiling, and quality validationPython Integration & Process Automation: Utilize Python (Pandas, NumPy, and related libraries) to automate data processes, perform advanced statistical profiling, or integrate custom predictive analytics and data science models directly into visual BI dashboardsEnvironment Administration & Security: Oversee and manage the reporting environments and workspaces. Define and implement robust security frameworks, including Row-Level Security (RLS) and access governanceModern Data Architecture Collaboration: Contribute to high-level architecture discussions. Align BI deliverables with modern data structures (Data Warehouses, Data Lakes, Lakehouses/Delta Lakes, and Datamarts) and staging processesQA & Testing Standards: Design and contribute to comprehensive testing methodologies for data products to ensure 100% accuracy, speed, and alignment with industry standardsAgile & DevOps Principles: Work actively within a modern Agile development environment (SCRUM/Kanban) and champion the adoption of CI/CD principles and BI version control practices Requirements Professional Experience: 5+ years of hands-on experience developing, designing, and maintaining complex BI solutions using tools like Power BI (strongly preferred), Tableau, or QlikProgramming & Scripting: Strong programming proficiency in Python and advanced SQL (including DAX or MDX)Database Expertise: Proven background in relational databases (such as MS SQL Server, Oracle, MySQL, and PostgreSQL). Experience with high-performance columnar analytical databases (e.g., ClickHouse) is highly valuedData Engineering Concepts: Clear understanding of data tiering (landing, staging area, data cleansing, profiling, and security) and data warehouse architecture (DWH, Data Lake, Delta Lake, Datamarts)Cloud Architecture: Hands-on flexibility using Cloud platforms (specifically AWS—including services like S3, Glue, Athena, and Lambda—or equivalent services in Azure, GCP, or Snowflake)Quality Assurance: Demonstrated expertise in testing data products, validation, and dashboard performance tuningAgile Frameworks: Experience working in fast-paced Agile development environments (SCRUM, Kanban)CI/CD & DevOps: Familiarity with modern CI/CD principles and version control tools for report deploymentCommunication & English Skills: Strong presentation and communication skills, with a proven capability of bridging technical data concepts to C-level executives. Fluent English proficiency (Upper-Intermediate level or higher) Nice to have ETL/ELT Pipeline Development: Experience building, monitoring, and optimizing ETL data pipelinesLow-Code/No-Code Apps: Familiarity with low-code application development platforms (such as Power Apps)Advanced BI Certifications: Professional certifications, such as Microsoft Certified: Power BI Data Analyst Associate, Power Platform App Maker, or cloud certifications We offer We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersDiscounts in local language schools, including offline courses for the Uzbek languageWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageFour trust days per year (sick leave without a medical certificate)Discounts for fitness clubs, dance schools and sports programsBenefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.