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