Data Analyst - India - Hybrid

Description

Gigamon, recently certified as a Great Place to Work, helps the world’s leading organizations run fast, stay secure and innovate. We provide the industry’s first elastic visibility and analytics fabric, which closes the cloud visibility gap by enabling cloud tools to see the network and network tools to see the cloud. With visibility across their hybrid cloud network, organizations can improve customer experience, eliminate security blind spots, and reduce cost and complexity. Gigamon has been awarded over 90 technology patents and enjoys world-class customer satisfaction with over 4,000 organizations, including over 80 percent of the Fortune 100 and hundreds of governments and educational organizations worldwide.

As a Data Analyst at Gigamon, you’ll play a pivotal role in powering strategic decision-making by architecting scalable data infrastructure and cutting-edge analytics frameworks. Your work will fuel insights for leadership, measuring the impact of high-profile initiatives through advanced metrics and storytelling with data. You will drive the evolution of data systems—benchmarking performance, diagnosing bottlenecks, and implementing innovative solutions that optimize business outcomes. Leveraging data from diverse customer touch points, you’ll develop audience segmentation, build robust attribution models, map the end-to-end customer journey, and deliver actionable performance analytics. This opportunity empowers you to conduct deep quantitative research and design predictive and machine learning models that shape program strategy and accelerate Gigamon’s growth in a dynamic, mission-driven environment.

Key Responsibilities

• Business Intelligence & Reporting: Design and maintain Tableau dashboards to provide actionable insights and streamline reporting. Automate operations and train analysts and business users on data tools and dashboards.
• Marketing Analytics & Insights:
• Collaborate with stakeholders to analyze data and guide strategic priorities. Build attribution models, performance metrics, and customer journey maps to track campaign impact.
• Data Strategy & Predictive Modeling: Manage data modeling, ETL processes, and optimization initiatives. Develop predictive models and machine learning solutions to improve customer acquisition and retention.
• Data Infrastructure & Migration: Lead the migration from Azure to Snowflake and Power BI to Tableau, ensuring seamless transitions and optimal performance. Develop the strategy and architecture for a marketing data lake with effective data acquisition and governance.
• System Optimization & Governance: Identify bottlenecks, enhance data pipelines, and ensure data health and accessibility across teams. Partner with IT and marketing to align data infrastructure with business goals and ensure governance best practices.
• Training & Collaboration: Lead Snowflake and Tableau adoption through workshops and documentation. Foster collaboration across teams to promote data-driven decision-making and insights.
  
  

What You’ve Done

• Bachelor's or master's degree in computer science, Math, Data Science/Analytics, or Business Intelligence.
• A minimum of 5 years of experience in modern enterprise data architecture and analytics.
• Advanced skills in data visualization in Tableau and other similar tools.
• Proficiency in SQL, with familiarity in Snowflake or similar tools.
• Extensive hands-on experience with predictive modeling and machine learning using Python, R, or Java.
  
  

Required Skills & Qualifications

• Technical Expertise:
• Proficiency in SQL, Snowflake, Azure, and Tableau.
• Experience with Tableau, ETL processes, and data modeling.
• Knowledge of attribution models, segmentation, and predictive analytics.
• Analytical Skills:
• Strong data interpretation, statistical analysis, and optimization skills.
• Ability to track and enhance marketing campaign performance.
• Project Management & Collaboration:
• Experience leading data migration and lifecycle projects.
• Effective collaboration with marketing, IT, and data teams.
• Soft Skills:
• Strong communication, leadership, and problem-solving abilities.
• Focus on data governance and process improvement.
• Preferred:
• Experience with B2B marketing analytics and CRM tools like Salesforce or Marketo.
  
  

Who You Are

• A self-starter with a strong business mindset, capable of translating complex concepts into actionable insights.
• Exceptional problem-solving skills with meticulous attention to detail and the ability to work independently.
• A collaborative team player who thrives in a fast-paced environment and possesses excellent communication skills.
• Familiarity with data management platforms like Knime is a plus.
  
  

As an equal opportunity employer, all applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, age, sexual orientation, disability, veteran status, genetic information, or any other protected characteristic under applicable federal, state, and/or local law. For more information, please refer to Know Your Rights: Workplace Discrimination is Illegal.

We are committed to providing reasonable accommodation for all qualified individuals with disabilities. If you require a reasonable accommodation, please contact us at (669) 240-2248.

If your experience and skills closely match our job description but may not necessarily fulfill all requirements, please still apply. Gigamon is on a continued mission to grow and scale an innovative organization. We believe this is best achieved by hiring, celebrating, and respecting people with diverse backgrounds, skills, perspectives, and experiences.

The privacy rights of all individuals including job applicants and candidates are very important to us. Our Gigamon Applicant Privacy Policy, will inform you about how Gigamon Inc. and its direct and indirect subsidiaries collect, use, store, or otherwise process personal information about job applicants and candidates, including through your access and/or use of our careers website and third-party job websites (e.g. LinkedIn, Indeed, Glassdoor, Naukri, etc.).