Data Analytics Intern
Assurant
The Insights Intern is responsible for supporting internal Assurant business partners with insightful, analytical findings, as well as advancing the overall Data Analytics organizational strategies. This role will work with Data Analytics team members to learn analytical techniques and improve tools used by the team. The intern will present findings to the business and must be comfortable communicating with all levels of the organization.
What will be my duties and responsibilities in this job?
(60%) Create Value Through Data
Produce clear, insightful, understandable work products (visualizations, reports, presentations, etc.) to outline business opportunities and actionable recommendations
Transform data into insights by leveraging internal and external tools to identify and quantify opportunities
Build studies that add substantial value to the decision-making process through proactive data analysis, reporting, and research
Analyze existing solutions and optimize them based on the latest best practices, tools, techniques, and policies
Communicate effectively with stakeholders to understand requirements, execute fast, and ensure the right training and hand-over effort to the stakeholders
(20%) Communicate Insights
Present analysis and resulting recommendations to senior management and/or clients
Leverage data to present compelling business cases to optimize investments and operations
Communicate and educate both technical and non-technical employees on analytics and data-driven decision making
(20%) Support Data Strategies
Design, build, and deliver on our Data as a Product initiatives across the enterprise
Participate and drive data modeling and governance best practices
Provide rapid corrective response and action to resolve disruptive incidents
In this opportunity the intern has the potential to gain experience, enhanced skill sets, and competencies that will make them more prepared for future roles:
Exposure to corporate environments
Critical Thinking Skills
Problem Solving Skills
Data Modeling Skills
Advanced use of Analytical Tools and Techniques
Increased hands-on experience in SQL, SQL Server, Python, SharePoint, Microsoft Workspaces and more
Ability to conduct a business presentation and recommend a course of action based on research and supported by data
Understanding of Data Warehouse principles and best practices
Ability to draw insights from data set that are actionable for the business
Strong written and oral communication skills
Working with remote teams
Basic Qualifications:
Minimum of 2nd year completed and currently enrolled in 3rd or 4th year of undergraduate Mathematics, Computer Science, Statistics, Business Management, Information Systems or related program of study
Master’s degree candidates are preferred
2 years of strong SQL, Excel, SSRS, Power BI, and PowerPoint experience
Other skills:
Ability to work in a team environment
Excellent written and verbal communication skills
Detail oriented and possess excellent follow up skills
Must be organized and work well with constant priority changes
Must be able to work independently with minimal supervision
Professional demeanor
Sustains a positive outlook and views challenges as opportunities
Analytical/strategic thinker
Ability to quickly learn new applications
Ability to deal with ambiguity and the corresponding ability to quickly provide sound decisions and perform tasks with less than complete information
Preferred Qualifications:
Strong computer skills; proficient in MS Office Suite
Experience in Digital Analytics, Machine Learning, Generative AI, and knowledge of data management/warehousing are highly desired