internship
Finance

Data Analyst Intern

Paid, Stipend available20-30 hoursPhiladelphiaYear RoundFree coffee, Federal Donut Friday, additional compensation via marketplace discounts

Description

Are you a problem solver? Passionate about working in a dynamic and exciting environment? Looking for real-life financial experience? At Colabination, we are looking for creative thinkers and big doers.

The Data Analyst intern will have the opportunity to work side by side with Colabination’s marketing and product teams while taking the lead on their own projects. They will play a key role in the reporting and analysis of Colabination’s performance metrics, product and paid marketing optimization, analyzing financial models, and creating budgets across different departments within the company. This is an integral position within the company that requires collaboration across all departments.

Responsibilities
Create and test paid advertisements appropriate for the content and messaging
Plan, manage, and execute paid search campaigns, including but not limited to strategy development, architecture, and management
Daily use of paid advertising platform, reporting, analytics, and trend tools
Monitor PPC trends, best practices and techniques to ensure correct account spend/growth, identify new opportunities
Develop, prepare, and present to senior leadership specialized reports and analysis for a range of departments within the company
Contribute to the projections of key performance indicators including all areas of revenue, cost of sales, expenses and capital expenditures in a twice monthly company wide metrics meeting
Analyze financial information and reports to provide accurate and timely financial recommendations to management for decision making purposes
Organize, interpret, and communicate the data from all analytics and data sources
Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality across the company
Help streamline and improve operational processes in order to maximize efficiency
Utilize understanding of company operations in order to make recommendations as to where time and resources should be best allocated
Interpret data, analyze results using statistical techniques and provide ongoing reports
Work closely with management to prioritize business and information needs
Locate and define new process improvement opportunities

Requirements

Proven working experience working with data
Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
BS in Mathematics, Economics, Finance, Computer Science, Information Management or Statistics
Strong leadership and teamwork capabilities