Data Analyst Intern

About the Role

DoubleTick is seeking a Data Analyst Intern to manage and grow their paid acquisition and demand-generation engine. This role is suited for individuals who possess strong performance marketing expertise, a deep understanding of B2B SaaS funnels, and the ability to convert marketing investments into qualified leads, pipeline, and revenue.

Key Responsibilities

• Collect, clean, and organize datasets from multiple sources to ensure data quality and consistency.
• Perform basic data analysis to identify trends, patterns, and actionable insights.
• Create dashboards, charts, and reports using tools such as Excel, Power BI, or Tableau.
• Assist in maintaining databases and ensuring the accuracy and completeness of data.
• Support senior analysts and business teams with ad-hoc analysis and reporting requirements.
• Analyze business and product data to support data-driven decision-making.
• Document data processes, analysis methodologies, and key findings.
• Collaborate with cross-functional teams to understand data requirements and reporting needs.

Requirements & Tech Stack

• Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field.
• Basic understanding of data analysis concepts and methodologies.
• Proficiency in Microsoft Excel, including formulas, pivot tables, and basic data handling.
• Familiarity with SQL and/or Python/R is a plus.
• Strong analytical and problem-solving skills.
• Good attention to detail and ability to work with large datasets.
• Willingness to learn new tools and technologies.
• Good communication skills and ability to present findings clearly.

Good to Have Skills

• Experience with data visualization tools such as Power BI or Tableau.
• Familiarity with CRM tools and platforms; hands-on experience with any CRM would be an added advantage.
• Familiarity with workflow automation and integration tools such as n8n, Pabbly Connect, or similar platforms would be an added advantage.
• Understanding of basic statistical concepts.
• Familiarity with SQL queries and database concepts.
• Basic knowledge of Python/R for data analysis.
• Good communication and presentation skills.
• Interest in SaaS, CRM, conversational AI, or product analytics.