Lead Data Visulaization

 Data Visualization Lead - Tableau | Power BI | SQL | Python

Division: Datakulture
Reports To: Practice Head
Location: Chennai
Employment Type: Full-Time
Experience Level: 8+ Years (Senior / Lead)

We are looking for a highly skilled and strategic Data Visualization Lead to drive our organization’s data storytelling and business intelligence capabilities. In this role, you will own the end-to-end visualization strategy, design and build enterprise-grade dashboards and reports using Tableau and Power BI, and translate complex datasets into clear, actionable insights for stakeholders at every level.

You will lead a team of analysts and BI developers, establish visualization standards and best practices, and collaborate closely with data engineering, product, and executive leadership to ensure data-driven decision-making across the organization. A strong command of SQL and Python is essential, as you will work with large-scale data pipelines, automate reporting workflows, and build advanced analytical models that power our dashboards.  


Visualization Strategy & Leadership

• Define and own the enterprise data visualization strategy, standards, and governance framework across the organization
• Lead, mentor, and grow a team of BI developers and data analysts, fostering a culture of data literacy and visual storytelling
• Partner with C-suite executives, product managers, and business stakeholders to understand requirements and deliver high-impact dashboards
• Establish and enforce design standards, accessibility guidelines, and performance benchmarks for all dashboards and reports

Tableau & Power BI Development
 • Design, build, and optimize production-grade dashboards and interactive reports in both Tableau and Power BI 

• Develop and manage Tableau Server / Tableau Cloud and Power BI Service environments, including governance, permissions, and data refresh schedules  
• Implement advanced features including Row-Level Security (RLS), calculated fields, parameters, DAX measures, Power Query transformations, and custom visuals
• Integrate AI and machine learning insights into dashboards, including predictive analytics, anomaly detection, and natural language query capabilities (Power BI Copilot, Tableau Einstein)
• Build and maintain a library of reusable templates, design components, and data models to accelerate dashboard development

SQL & Data Engineering
• Write complex, performance-optimized SQL queries to extract, transform, and model data from relational databases, data warehouses, and data lakes (e.g., Snowflake, BigQuery, Redshift, Azure Synapse)
• Design and maintain semantic data models, star schemas, and aggregation layers that serve as the foundation for BI reporting
• Collaborate with data engineering teams to define data pipeline requirements, ensure data quality, and establish SLAs for dashboard data freshness

Python & Advanced Analytics
• Develop Python scripts and notebooks for data cleaning, transformation, statistical analysis, and automation of repetitive reporting tasks
• Build and integrate machine learning models (scikit-learn, XGBoost, Prophet) for forecasting, segmentation, and anomaly detection that feed into BI dashboards
• Automate report generation, data quality checks, and alert systems using Python (pandas, NumPy, Plotly, Matplotlib)
• Create and maintain ETL/ELT pipelines using Python-based orchestration tools (Airflow, Prefect, or similar)

AI-Powered Analytics & Innovation
• Champion the adoption of AI-driven analytics capabilities, including Power BI Copilot, Tableau Pulse, and GPT-powered natural language querying
• Implement predictive lead scoring, demand forecasting, and customer segmentation models that integrate directly into executive dashboards
• Evaluate and pilot emerging AI/ML tools and visualization technologies to keep the organization at the forefront of data innovation
• Develop AI readiness frameworks and conduct internal assessments to guide teams toward data maturity

REQUIRED QUALIFICATIONS

• 8+ years of experience in data visualization, business intelligence, or analytics, with at least 2 years in a lead or management role
• Expert-level proficiency in Tableau (Desktop, Server/Cloud, Prep) and Power BI (Desktop, Service, Dataflows, DAX, Power Query)
• Advanced SQL skills with demonstrated experience writing complex queries across enterprise data warehouses (Snowflake, BigQuery, Redshift, or Azure Synapse)
• Strong Python programming skills with hands-on experience in data analysis libraries (pandas, NumPy, SciPy) and visualization libraries (Matplotlib, Seaborn, Plotly)
• Experience with data modeling concepts including star schema design, dimensional modeling, and semantic layers
• Proven track record of building and scaling enterprise BI environments serving hundreds of users
• Strong understanding of data governance, data quality frameworks, and Row-Level Security implementation
• Excellent communication and stakeholder management skills with the ability to translate technical insights for non-technical audiences
• Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field  

PREFERRED QUALIFICATIONS
• Master’s degree in Data Science, Analytics, Computer Science, or MBA with analytics focus
• Experience with AI/ML integration in BI platforms (Power BI Copilot, Tableau Einstein, AutoML features)
• Familiarity with cloud platforms: Azure (Data Factory, Synapse, Fabric), AWS, or GCP
• Experience with dbt, Airflow, Prefect, or similar data orchestration and transformation tools
• Tableau Desktop Specialist / Tableau Certified Professional or Microsoft PL-300 / DP-600 certification
• Knowledge of version control (Git) and CI/CD practices for BI development
• Experience with embedded analytics and API-based dashboard distribution
• Background in demand generation analytics, marketing operations, or revenue operations is a plus  

TECHNOLOGY STACK 
Visualization: Tableau (Desktop, Server, Prep), Power BI (Desktop, Service, Dataflows)
Languages: SQL, Python, DAX, M (Power Query)
Databases: Snowflake, BigQuery, Redshift, Azure Synapse, PostgreSQL
Python Libraries: pandas, NumPy, scikit-learn, Plotly, Matplotlib, Seaborn, Prophet
Cloud Platforms: Azure (Fabric, Data Factory), AWS, GCP
AI / ML Tools: Power BI Copilot, Tableau Pulse, OpenAI API, Jupyter Notebooks
DevOps & Tools: Git, dbt, Airflow, Jira, Confluence