Data Analytics Intern

Job Description

About CohnReznick

CohnReznick is a top-tier professional services firm in the United States, specializing in Advisory, Accounting, and Tax services. They pride themselves on combining the resources and expertise of a national firm with a hands-on, entrepreneurial approach that caters to today’s dynamic business environment.

Headquartered in New York City with offices across the nation, CohnReznick serves a wide range of clients, including:

• Middle market and Fortune 1000 companies
• Private equity and financial services firms
• Government contractors and agencies
• Non-profit organizations

With over 2,700 employees, including almost 300 partners, CohnReznick boasts a rich history dating back to 1919. They are a member of Nexia International, a global network of independent accountancy, tax, and business advisors.

CohnReznick’s commitment to diversity and inclusion:

They believe a diverse workforce allows them to meet their growth ambitions and drive inclusion throughout the business. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Data Analytics Internship: Data & Analytics Tech+ Team

This internship offers the opportunity to contribute to CohnReznick’s Digital Advisory Group, which works across all Advisory industries and service lines to empower clients with forward-looking, change-resilient solutions.

Responsibilities of the internship:

• Gather evidence from data and research: Support client deliverables and outcomes tracking by assembling compelling evidence.
• Refine evidence-based models and insights: Continuously improve models and insights based on tracked outcomes.
• Understand client needs and project requirements: Capture key client needs and project requirements in writing, applying them in planning with delivery teams.
• Develop understanding of client personas and their use stories: Compile business and technical requirements documents and assemble them into test & acceptance plans.
• Conduct research: Accumulate and synthesize qualitative and quantitative data from various sources, including public, client, and firm resources.
• Contribute to data analytics models: Develop and apply robust data analytics models in leading technologies like Microsoft Fabric/Synapse, Snowflake, AWS, and Google Big Query.
• Support data integration plans: Develop data integration plans, blueprints, and engineering using data pipelines and ELT methods as part of broader data solutions.
• Ensure data integrity and quality: Implement efficient data integrity and quality controls to accurately reflect source systems in target models.
• Contribute to reference data architecture: Understand and apply CohnReznick’s reference data architecture and standards in data service and solution design and development.
• Support dashboard development: Contribute to the development of dashboards, analytic models, reports, and other client data visualization models.
• Grow skills with experience and training: Gain practical experience and participate in training-based learning.
• Communicate economic concepts: Interact with senior staff, leadership, and clients to communicate economic concepts in a clear and understandable manner.
• Demonstrate creativity and efficiency: Efficiently utilize relevant software tools, analytical methods, and computer models to develop solutions.
• Apply critical thinking skills: Utilize critical thinking skills in quantitative and qualitative analysis.
• Collaborate in a team environment: Participate in a team environment and strive to meet client deadlines and quality expectations.

Required qualifications:

• Introductory experience with MS SQL, MS Azure Cloud, MS Azure DataBricks, PowerBI, or other Analytics development toolsets (prior internship experience in these areas is a plus).
• Basic understanding of business processes and organization.
• Knowledge of cloud-based data warehousing solutions with leading technologies such as AWS or Azure.
• Progress towards a master’s or bachelor’s degree in data analytics, math, or statistics (or a minor in a related field).
• GPA of 3.5 or higher.
• Exceptional verbal and written communication skills.
• 0-1 years of experience, including internships.
• Proven capability with MS Excel and relational database programs (e.g., MS SQL Server, SSAS, Snowflake, Azure Synapse, Tableau, Alteryx, MS Access, MySQL, Oracle, or Teradata).
• Desire to expand existing capabilities.
• Experience with statistical analysis programs (e.g., SAS, SPSS, Stata, R) is desirable but not required.

What CohnReznick offers:

• Endless opportunities to contribute: The chance to make a significant impact at a large professional services firm.
• Collaborative culture: A work environment that values teamwork and collaboration.
• Driven team: A team of professionals committed to excellence, integrity, lifelong learning, respect, adaptability, and making a difference.
• Strong network: A network of 2,700 professionals committed to diversity, inclusion, and community involvement.
• Varied career paths: Support for career advancement through professional development programs and resources.
• Flexible work environment: Competitive benefits and a flexible work environment.