Level: Intern, Analytics Engineer

Department: Value Creation & Analytics

Location: Chicago, Dallas and New York City (See “Work Location Policy’ section)

Timeline: Sep-Dec 2024 / Jan-May 2025 / May-Aug 2025

Base Salary: $75,000 – 100,000 per year (prorated to length of the internship)

Teragonia develops Analytics Engineering and AI solutions exclusively for private equity portfolio companies, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors. We create bespoke ‘data-to-dollars’ value creation playbooks using Decision Intelligence Systems (DIS) that deliver real-time, system-level insights to enhance EBITDA. We supplement the DIS with advisory services to help business leaders operationalize analytics-driven strategies and work closely with deal teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections.

Our core solutions are designed to support aggressive private equity investment lifecycles and span i) Infrastructure Enhancement, ii) Business Diagnostics, iii) Value Creation, and iv) Exit Prep. In each of the core solutions we leverage cutting edge tools and technology such as SQL, Python, Tableau, Power BI, Dataiku, dbt, and more to translate technical challenges into business value for our clients. We deliver value to clients across three teams: i) Value Creation & Analytics, ii) Data Science & AI, and iii) Engineering.

Teragonia offers a comprehensive career development platform through cross-learning within our multidisciplinary structure. We nurture a diverse, inclusive, collaborative, respectful, and collegial environment. Our competitive compensation package aligns with the technology industry leaders, encompassing 401k contribution matching, medical insurance, and additional benefits.

Join Teragonia’s Value Creation & Analytics (VC&A) team, where you will be at the intersection of finance, management consulting, and advanced technology. In this role, you will blend strategic analysis with cutting-edge analytics and AI solutions to drive enterprise value creation for private equity portfolio companies and founder-owned businesses. Working closely with experienced professionals, youll tackle complex business challenges, design data-driven strategies, and implement actionable solutions that transform operations and enhance decision-making. This position offers a unique opportunity to engage in high-impact projects across diverse industries, combining the analytical rigor of management consulting with the technical depth of advanced analytics and AI.

We are looking for a talented intern to join our team in the Analytics Engineering domain. As an intern, you will work closely with our team of analytics engineers to design and develop advanced analytics solutions for our private equity-backed portfolio company clients. You will assist in understanding their business needs and developing tailored analytics solutions.

Requirements

• Support a team of analytics engineers to design and develop advanced analytics solutions and be an active contributor to executing on engagement work

• Assist Engagement Managers and Associates in working closely with clients to understand their business needs and develop tailored analytics solutions

• Assist Engagement Managers and Associates in translating Client communicated business needs into an exploratory data analysis program and lead team efforts to execute

• Assist analytics engineering teams in designing, developing, maintaining, and optimizing complex enterprise data models to help solve operational and financial business problems

• Develop and maintain high-quality, visually appealing reports and dashboards to communicate complex analytics insights and recommendations to senior client executives, ensuring that findings are easy to understand and actionable by senior executives

• Participate in and assist in project meetings and contribute to project deliverables

• Effectively work in a fast-paced environment, manage multiple projects simultaneously, and prioritize tasks to meet deadlines

• Assist in developing and implementing process improvements to increase team efficiency and productivity

• Collaborate with data engineers to design, develop, maintain, and optimize data pipelines critical to the integrity of the enterprise data models

• Currently pursuing a Bachelor’s (rising Senior) or Masters degree in Accounting & Finance, or Economics (with a minor in Computer Science or Information Systems), Business Analytics, Computer Science (with minor in finance, econometrics or equivalent), Information Systems, Industrial Engineering, or a related field with strong academic performance from leading universities
• Proficiency in Python/SQL, eagerness to learn new tools and platforms quickly.
• 0-2 years of experience in analytics engineering, data engineering, software engineering or a related field at global consulting firms, top financial services firms, or high-growth startups
• Strong interest in learning how analytics insights drive business value
• Experience in performing exploratory data analysis
• Certification in data science or analytics (e.g., Certified Analytics Professional)
• Experience with data visualization tools such as Tableau or PowerBI
• Analytical and problem-solving skills
• Excellent communication and interpersonal skills

Benefits

For more junior applicants (less than 3 years of professional experience), we are looking for candidates living in, or willing to relocate to, within commutable distance of the Chicago, Dallas, or New York City metropolitan areas so that we can provide you with the support and mentorship during the internship.

Teragonia strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any legally protected characteristic not otherwise covered here. We encourage all to apply.