Engagement Manager - Analytics Engineering

Base Salary:  $180,000 - $215,000 

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

Company Overview 

Teragonia develops Analytics Engineering and AI solutions for private equity portfolio companies and founder-owned businesses, 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 engagement manager to join our team. As an Engagement Manager, you will lead a team of analytics engineers to design and develop advanced analytics solutions for our private equity-backed portfolio company clients. You will work closely with senior client executives to understand their business needs and develop tailored analytics solutions. We are particularly interested in candidates who operate with integrity, intellectual humility, and a long-term career commitment. The ideal candidate for this role will have a solid foundation in analytics, and experience in M&A analytics practice at a Big 4 firm or equivalent with a stellar track record.  

Responsibilities 

• Lead 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 
• Translate client communicated business needs into an exploratory data analysis program and lead team efforts to execute 
• Design, develop, maintain and optimize 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 
• Develop and maintain strong relationships with clients and internal stakeholders 
• Participate in and lead 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 
• Develop and implement 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 

Necessary Qualifications 

• Master's degree in Business Analytics, Accounting, Finance, Computer Science, Mathematics, Statistics, or a related field 
• 5-7 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 
• Proven leadership and management skills 

Preferred Qualifications 

• Experience with cloud-based analytics platforms and big data technologies such as Snowflake, GCP, DBT, FiveTran, Dataiku, etc.  
• Experience with data modeling methodologies and concepts (e.g., Kimball Modeling, Data Vault, Data Mesh, etc.)  
• Strong SQL or Python skills and experience with data modeling and exploratory data analysis  
• Certification in data science or analytics (e.g., Certified Analytics Professional)