Base Salary:  $100,000 - $115,000 Location: Chicago / New York City / Dallas / Remote<h3>Company Overview </h3>Company Overview (<a href="https://teragonia.com/company/" target="_blank">Values</a>) Teragonia (teragonia.com) is a fast-growing analytics and AI technology firm that equips mid-market companies with plug-and-play enterprise intelligence through our proprietary Astradis Operating System, a modular AI platform built to drive value creation across finance, operations, and revenue functions. Rooted in deep private equity experience and over $400B in M&amp;A-backed insights, Teragonia helps CXOs and portfolio teams move faster, make better decisions, and deliver measurable performance improvements. Astradis provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our analytics engine powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy.Teragonias Value Creation &amp; Analytics (VC&amp;A) Department SummaryTeragonia’s Value Creation &amp; Analytics (VC&amp;A) division bridges finance, consulting, and technology to support portfolio companies. We combine consulting rigor and AI to address complex challenges and enhance enterprise value through platform solutions and advisory. We prioritize professional growth through mentorship and cross-functional learning.Astradis provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our analytics engine powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy.Our team combines the analytical rigor of management consulting with the technical depth of advanced analytics and AI, leveraging cutting-edge statistical models, optimization techniques, and machine learning to solve complex business challenges and generate transformative business value. We supplement our Astradis platform with value creation analytics engineering to help business leaders operationalize analytics-driven strategies, working closely with investment teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. We champion the professional growth and development of our team members, offering focused education across our multidisciplinary structure and an expansive career development platform that promotes cross-learning within our unique blend of technologists, data scientists, and business experts who have first-hand private equity experience as investors, operators, and M&amp;A advisors. We understand the importance of balancing professional advancement with personal pursuits, fostering a collaborative and forward-thinking environment that drives innovation while maintaining work-life integration. Job SummaryWe are looking for a talented Analytics Engineer to join our team as an Analyst. As an Analyst, 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.Our Value Creation &amp; Analytics practice is built around three primary circles:Technical Mastery (Astradis), Business Operations, and Client Success. Technical Mastery leverages our Astradis platform to centralize data and deliver actionable insights. Business Operations focuses on data-driven process optimization and performance monitoring to enhance operational efficiency. Client Success ensures value realization through proactive partnership, measurable ROI, and continual improvement.Core ResponsibilitiesTechnical Implementation and Value Creation • Design, develop, and optimize complex enterprise data models to solve operational and financial business problems• Build and maintain ELT processes while ensuring data quality and pipeline performance• Transform raw data into structured datasets using SQL and other data manipulation tools• Develop high-quality, visually appealing reports and dashboards that communicate complex analytics insights• Identify key performance indicators and analyze data to drive business improvements• Support data warehouses and cloud platforms while implementing data governance policiesClient Engagement• Translate business needs into exploratory data analysis programs• Communicate technical concepts clearly to non-technical client executives• Develop and maintain professional relationships with clients and internal stakeholders• Present analytics findings in a manner that is accessible and actionable for senior executives• Participate actively in client meetings and contribute meaningfully to project deliverablesProject Management• Work effectively in a fast-paced environment while managing multiple projects simultaneously• Prioritize tasks efficiently to meet project deadlines• Collaborate with cross-functional teams including data engineers, data scientists, and AI engineers• Contribute to process improvements that increase team efficiency and productivity• Stay current with industry trends and apply emerging best practices to client solutionsCareer Development OpportunitiesAs an Analyst, you will be a key contributor to our platform deployment and value creation delivery, product and solution innovation, and practice development. You will have the opportunity, and the management support, to:• Develop specialized knowledge in data analytics, data science, and AI applications in a chosen industry or domain• Enhance your executive presence and communication skills• Contribute to thought leadership initiatives and strategic marketing efforts• Progress along a clear career path from Analyst to Associate, Manager / Lead, Principal, Director, and Managing Director• Receive mentorship and company-selected resources for leadership skill development• Support innovation initiatives and recruitment effortsRequired• Bachelors degree in Business Analytics, Computer Science, Information Systems, Industrial Engineering, or a related field with excellent academic performance from accredited universities• Demonstrated interest in learning how analytics insights drive business value• Advanced programming skills in SQL and Python• Experience in performing exploratory data analysis in a professional setting• Experience with data visualization tools such as Tableau or PowerBI• Strong analytical and problem-solving skills• Proficiency with Microsoft Suite, particularly Excel• Excellent communication and interpersonal skills• Legally authorized to work in Canada (Canadian citizenship, permanent residence, or valid work permit – Teragonia may sponsor visa applications for eligible candidates subject to applicable Canadian immigration laws and regulations)Preferred• Experience with cloud-based analytics platforms and data and analytics technologies such as Snowflake, Databricks, GCP, Airflow, DBT, FiveTran, GitHub, or highly relatable technologies• 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• At least one relevant internship experience or up to 2 years experience in analytics engineering, data engineering, software engineering or a related field at global consulting firms, top financial services firms or high-growth startups• High business acumen and advanced understanding of connectivity between operational data and financial data (ERP to CRM to PoS to HRIS to P&amp;L / trial balance / journal entries, etc.)• Experience with data modeling methodologies and concepts (e.g., Kimball Modeling, Data Vault, Data Mesh, etc.)• Certification in data science or analytics (e.g., Certified Analytics Professional)• Masters in Business Analytics, Computer Science, or similar advanced degree