Strategic Data Analytics Lead
2 weeks ago
About Gigamon
Gigamon, a Great Place to Work, empowers organizations to run fast, stay secure, and innovate. Our elastic visibility and analytics fabric bridges the cloud visibility gap, enabling cloud tools to see the network and network tools to see the cloud. This innovative approach fosters customer-centricity, eliminates security blind spots, and reduces complexity. With a global presence and a clientele comprising over 4,000 organizations, including 80% of Fortune 100 companies, Gigamon is a leader in its domain.
As the Business Intelligence and Marketing Analyst II, you will spearhead data infrastructure and analytics initiatives to derive actionable insights for our leadership. Your role will involve benchmarking systems, identifying bottlenecks, and proposing data-driven solutions. The scope of your work will encompass multiple customer touchpoints, data visualization, and predictive modeling to drive business strategy. Key responsibilities include:
Key Responsibilities- Data Infrastructure & Migration
- Lead Azure to Snowflake and Power BI to Tableau migration for seamless transitions and optimal performance.
- Develop a marketing data lake strategy with effective data acquisition and governance.
- Business Intelligence & Reporting
- Design and maintain Tableau dashboards for actionable insights and streamlined 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 enhance customer acquisition and retention.
- 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.
- Education
- Bachelor's or master's degree in computer science, mathematics, data science/analytics, or business intelligence.
- Experience
- Minimum 5 years of experience in modern enterprise data architecture and analytics.
- Proven experience in digital marketing, CRM analytics, or IT-business intelligence.
- Extensive hands-on experience with predictive modeling and machine learning using Python, R, or Java.
- Proficiency in SQL, with familiarity in big data technologies (Hadoop, Spark) preferred.
- Advanced skills in data visualization tools like DOMO or Tableau.
- Required Skills & Qualifications
- Technical Expertise
- Proficiency in SQL, Snowflake, Azure, and Tableau.
- Experience with Power BI migration, 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.
- 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.
- Technical Expertise
Salary Range: $120,000 - $180,000 per annum, depending on experience and qualifications.
Benefits: Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
Location: [Insert location, e.g., San Jose, CA]
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