Data Analytics Intern – Data & Analytics Tech+ Team
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Job Description
About CohnReznick
CohnReznick is a top professional services firm in the United States, offering Advisory, Accounting, and Tax services. They combine the resources and technical expertise of a national firm with a hands-on, entrepreneurial approach. They serve a wide range of clients including middle market and Fortune 1000 companies, private equity and financial services firms, government contractors, government agencies, and not-for-profit organizations.
CohnReznick is committed to diversity and inclusion and values collaboration, excellence, integrity, and a commitment to lifelong learning. They offer a flexible work environment with competitive benefits.
Data Analytics Summer Internship – Data & Analytics Tech+ Team
This internship provides opportunities to:
• Gain practical experience in data analytics: Learn and apply qualitative and quantitative approaches to develop insights and models.
• Work on real-world projects: Contribute to client deliverables, outcomes tracking, and model refinement.
• Develop technical skills: Build expertise in leading technologies like Microsoft Fabric/Synapse, Snowflake, AWS, and Google Big Query.
• Contribute to data solutions: Support the development of data integration plans, blueprints, and engineering using ELT methods.
• Gain experience with data visualization: Support the development of dashboards, analytic models, and reports.
• Learn from experienced professionals: Interact with senior staff, leadership, and clients.
Responsibilities:
• Gather and analyze data: Research, accumulate, and synthesize qualitative and quantitative data from various sources.
• Develop data analytics models: Contribute to the development of robust data analytics models and their application in leading technologies.
• Support data integration: Support the development of data integration plans, blueprints, and engineering using data pipelines and ELT methods.
• Ensure data integrity: Ensure the design and development process includes efficient data integrity and quality controls.
• Support data visualization: Support the development of dashboards, analytic models, reports, and other client data visualization models.
• Communicate findings effectively: Interact with senior staff, leadership, and clients to communicate economic concepts in an understandable manner.
• Contribute to a team environment: Work collaboratively to meet client deadlines and quality expectations.
Requirements:
• Technical Skills: Introductory experience with MS SQL, MS Azure Cloud, MS Azure DataBricks, PowerBI, or other Analytics development toolsets is important. Previous internship experience with any of these toolsets is a plus.
• Academic Background: Progression towards a master’s or bachelor’s degree in data analytics, math, statistics, or a related field.
• Strong GPA: 3.5 GPA or higher.
• Excellent Communication Skills: Exceptional verbal and written communication skills.
• Problem-Solving Skills: A highly motivated problem solver with strong analytical ability.
• Proficiency with Software: Proven capability with MS Excel and relational database program(s) (e.g., MS SQL Server, SSAS, Snowflake, Azure Synapse, Tableau, Alteryx, MS Access, MySQL, Oracle, or Teradata).
• Statistical Analysis Skills: Experience with statistical analysis programs (e.g., SAS, SPSS, Stata, R) is desirable but not required.
Key skills:
• Understanding and applying client needs: Capture and apply key client needs and project requirements.
• Developing requirements documents: Develop an understanding of key client personas and their use stories to compile relevant business and technical requirements documents.
• Data integration and management: Develop and implement data integration plans, blueprints, and engineering using data pipelines and ELT methods.
• Data integrity and quality control: Ensure the design and development process includes efficient data integrity and quality controls.
• Data visualization and reporting: Develop dashboards, analytic models, reports, and other client data visualization models.
• Teamwork and collaboration: Work effectively with a team to meet client deadlines and quality expectations.
