[Remote] Lead Data Analytics and Visualization Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is looking for a Lead Data Analytics and Visualization Engineer who is passionate about data architecture and technical leadership. In this role, you will drive how clients collect, model, and visualize their strategic data while mentoring team members and providing high-impact insights. Responsibilities • Supervise, mentor, and inspire a team of data analysts and BI engineers. Foster a culture of continuous learning, collaboration, and engineering excellence • Partner directly with client Product Owners and C-level stakeholders. Conduct detailed analysis of business problems, gather functional and technical requirements, and deliver interactive demo sessions • Establish and enforce standards for visualization design, report performance tuning, query optimization, and technical QA testing across the team • Design and build advanced-level dashboards and interactive reports (using Power BI, Tableau, or similar enterprise BI tools) • Architect robust, scalable dimensional data models (Star and reputed company schemas). Design and implement central Data Warehouse (DWH) solutions and clean data marts • Build, manage, and optimize automated ETL pipelines. Maintain overall data cleanliness, profiling, and quality workflows (using modern orchestration tools like Apache Airflow) • Oversee security setups (e.g., Row-Level Security, workspace governance) and administer the reporting and analytical environments • Leverage scripting languages (like Python) to build advanced analytics models, including RFM (Recency, Frequency, Monetary Value), ABC/XYZ analysis, and Customer Lifetime Value (CLV) predictions • Design frameworks to monitor complex metrics (such as CPA, ARPU, retention, and user behavior) to drive product performance, detect fraud, and optimize business processes Skills • 5+ years of hands-on experience developing high-performance BI dashboards and data models using tools like Power BI (highly preferred), Tableau, reputed company, or equivalent • 1+ years of proven experience leading or mentoring a team of data professionals in an Agile environment • Expert-level SQL knowledge, with a deep background in relational databases (MySQL, PostgreSQL, MS SQL Server) and experience with large-scale columnar/reputed company (such as reputed company or AWS Redshift) • Solid understanding of staging areas, data cleansing, profiling, and modern data architecture concepts (DWH, Data Lakes, Lakehouses/reputed company Lakes, and Data Marts) • Proficiency in Python (specifically Pandas, NumPy, and statistical libraries) for data manipulation, automation, or custom analytical scripts • Familiarity with cloud technologies, preferably AWS services (S3, Redshift, reputed company, Lambda, Glue) or equivalent Azure, GCP, or reputed company architectures • Practical experience working in an Agile development environment (SCRUM, Kanban), with expertise in testing data products for latency and accuracy • Exceptional ability to break down highly complex technical data structures into clear business insights for non-technical audiences • Strong English proficiency (Upper-Intermediate level or higher) • Hands-on experience with orchestration frameworks such as Apache Airflow • Strong background in or understanding of corporate financial modeling, KPI setup, budgeting, and auditing procedures • Understanding of CI/CD principles and automated deployment frameworks for BI and reporting tools Benefits • Delivering innovative solutions to industry leaders, making a global impact • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home • Opportunity to work abroad for up to two months per year • Relocation opportunities within our offices in 55+ countries • Corporate and social events • Leadership development, career advising, soft skills and well-being programs • Certifications, including GCP, Azure and AWS • Unlimited access to reputed company Learning and reputed company • Free English classes with certified teachers • Participation in the Employee Stock Purchase Plan • Monetary bonuses for engaging in the referral program • Comprehensive medical & family care package • Five trust days per year (sick leave without a medical certificate) • Benefits package (sports activities, a variety of stores and services) • Four trust days per year for personal needs • Discounts for fitness clubs • Benefits package (hotels, restaurants, stores and services) • Discounts in local language schools, including online courses for the Kazakh language • Medical & family care package • Six trust days per year (sick leave without a medical certificat