Associate - Analytics Engineering

Base Salary:  $130,000 - $160,000 

Location: Chicago / New York City / Dallas / Houston / Remote

Company Overview 

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.  

Job Summary 

We are looking for a talented Analytics Engineer to join our team as an Associate. As an Associate, 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.  

Responsibilities 

• Assist in leading a team of analytics engineers to design and develop advanced analytics solutions  
• Work closely with Clients to understand their business needs and develop tailored analytics solutions  
• Assist in translating Client communicated business needs into an exploratory data analysis program and lead team efforts to execute  
• Assist 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 C-suite clients, ensuring that findings are easily understood and actionable by senior executives.  
• Develop and maintain strong relationships with clients and internal stakeholders  
• Participate in and assist in project meetings and contribute to project deliverables  
• Ability to 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  
• Stay up-to-date with industry trends and best practices in data analytics and apply this knowledge to improve our solutions 
• Support cross functional innovation initiatives 
• Develop a sector or domain specialty 
• Train (both on the job and formal training) junior resources 
• Actively contribute to Teragonia’s recruitment efforts to attract top talent 
• Assist executive leadership and officers with strategic marketing initiatives 
• Assist with conducting research for thought leadership initiatives 

Requirements

Necessary Qualifications 

• Master's in Business Analytics, Accounting, Finance, Computer Science, Mathematics, Statistics, or a related field 
• 3-5 years of experience in Financial Due Diligence analytics practice at a Big 4 firm or equivalent    
• High business acumen and advanced understanding of connectivity between operational data and financial data (ERP <> CRM <> PoS <> HRIS <> P&L / trial balance / journal entries, etc.)  
• Experience with data visualization tools such as Tableau or PowerBI    
• Strong analytical and problem-solving skills  
• Excellent communication and interpersonal skills 

Preferred Qualifications 

• Experie