Tableau Technical Lead
United States
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Job Description
Tableau Technical Lead
Los Angeles, California

Job Summary

Data Analysis & Statistical ModelingPerform exploratory data analysis (EDA) to uncover trends, patterns, and insights.Apply statistical methods to analyze data, validate hypotheses, and support business decisions.Build, evaluate, and deploy machine learning models to solve business problems.Design and analyze experiments (e.g., A/B tests) to measure the impact of changes and new features.Build and Maintain Data SolutionsDevelop robust, scalable, and automated data pipelines for data ingestion, processing, and transformation.Ensure data integrity, consistency, and availability for downstream analytics and modeling.Oversee the health and performance of existing data solutions and services.Design and implement automated monitoring and alerting for data pipelines, model performance, and service reliability.Ensure rapid detection and resolution of data or service anomalies.Participate in on-call rotations to ensure the reliability and availability of data solutions and services.Data Visualizations and ReportsCreate clear, compelling visualizations and dashboards to communicate findings to stakeholders.Prepare reports and presentations to summarize analysis, model results, and recommendations.Collaborate with Cross-Functional TeamsWork closely with stakeholders, engineers, and product teams to identify business challenges and opportunities.Translate business requirements into technical solutions using data science and machine learning.Influence StrategyProvide data-driven insights and recommendations to inform short- and long-term business strategy.Advocate for best practices in data science, analytics, and model deployment.


Minimum QualificationsBachelor’s degree in Computer Science or a related technical field.Experience in data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis.Proficiency in Python for data analysis, including experience with libraries such as pandas, NumPy, and matplotlib/seaborn.Strong experience with SQL and data visualization tools (e.g., Tableau, Power BI, etc.).Hands-on experience building, deploying, and maintaining data pipelines and machine learning models in production environments.Proficient with version control systems such as Git, including branching, committing, and pull requests.Experience designing and analyzing experiments (e.g., A/B testing) to measure impact and validate hypotheses.Preferred QualificationsPrevious experience working in the Meta development environment.Experience with service monitoring, anomaly detection, and automated alerting for data and ML solutions.Strong understanding of predictive analytics, statistical modeling, and machine learning algorithms (e.g., linear regression, clustering, decision trees, etc.).Experience with building and automating scalable data pipelines for data ingestion, processing, and transformation.Ability to create compelling data visualizations and dashboards to communicate findings to stakeholders.Excellent communication and collaboration skills, with experience working in cross-functional teams.

Key Responsibilities

1. Lead and manage technical teams in the design, development, and implementation of tableau dashboards and sql databases.
2. Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
3. Optimize tableau visualizations for performance and usability.
4. Maintain and enhance existing sql databases and optimize queries for efficiency.
5. Troubleshoot technical issues related to tableau dashboards and sql databases.
6. Stay updated on the latest trends and best practices in tableau and sql technologies.
7. Provide technical expertise and guidance to team members and stakeholders.

Skill Requirements

1. Proficiency in tableau for creating interactive dashboards and reports.
2. Strong knowledge of sql for database design, querying, and optimization.
3. Experience in data visualization techniques and best practices.
4. Solid understanding of database management and optimization principles.
5. Ability to lead technical teams and communicate complex technical concepts effectively.
6. Problem-solving skills and attention to detail for troubleshooting technical issues.
7. Strong analytical and critical thinking skills for data analysis and solution development.
8. Excellent project management skills for coordinating technical projects.

Other Requirements

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Maximum Salary (US):  128000
Minimum Salary (US):  116000
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.