Principal Consultant, Analytics
The CompanyBlue Ops is an M&A and FinOps consulting firm working with Private Equity and Investment Banks clients, supporting them hands-on during the different stages on the M&A cycle.Our Analytics practice partners with private equity firms and their portfolio companies to turn operational and financial data into actionable insights. Through our 4D delivery methodology, we build out KPI frameworks, KPI and operational dashboards, and reporting foundations that support value creation, executive visibility, ongoing business operations, and exit readiness.THE ROLEThe Principal Consultant, Analytics is the primary architect of our client’s success. We’re looking for a hybrid leader responsible for the entire lifecycle of data transformation – from the initial "art of the possible" sales conversation to the strategic discovery and oversight of complex analytics solutions. You will manage high-stakes client relationships, lead multidisciplinary teams of consultants, and serve as the final line of defense for project delivery and escalations.Responsibilities Sales & Strategic Growth (The "Part Sales") Pre-Sales Engineering: Partner with account executives to scope technical solutions, estimate level of effort (LOE), and draft Statements of Work (SOW). Relationship Expansion: Identify "pull-through" opportunities within existing accounts to expand the firm’s footprint. Executive Presence: Confidently present data strategies to C-suite stakeholders (CDO, CTO, CFO). Technical Strategy & SME (The "Solution Architect") Discovery Facilitation: Lead high-impact workshops to unearth "the question behind the question," translating vague business pain points into crisp, actionable analytical requirements. Analytical Roadmapping: Design the end-to-end journey from raw data to business insight, prioritizing high-value use cases (e.g., EBITDA expansion, churn reduction, or operational efficiency). Solution Design & Prototyping: Collaborate with clients to whiteboard "what success looks like," defining KPIs, metric logic, and the user experience for final data products. Front-End & UX Excellence: Act as the SME for data storytelling, ensuring dashboards serve the specific needs of executive personas and drive actual decision-making. Technical Translation: Serve as the bridge between client stakeholders and internal engineering teams—ensuring the backend build is strictly aligned with the frontend business goals. Delivery & Client Management (The "Orchestrator") Engagement Governance: Own the project budget, timeline, and resource allocation. Escalation Management: Act as the primary point of contact for client friction; turn "red" projects "green" through proactive communication and tactical pivoting. Value Realization: Ensure the final product isn't just "technically sound" but actually drives measurable business ROI for the client. People Leadership (The "Coach") Mentorship: Lead a team of data engineers and analysts, fostering their technical growth and professional development. Culture Building: Promote a collaborative environment that balances high-performance delivery with consultant well-being. RequirementsExtensive Industry Experience: A minimum of 7 years of experience in Data & Analytics consulting, with at least 3 years in a leadership or management capacity. Workshop & Stakeholder Management: Proven ability to lead discovery workshops, effectively manage diverse stakeholder opinions, and guide teams toward a unified technical vision. Exceptional Interpersonal Skills: Superior negotiation, conflict resolution, and active listening skills. You possess a high degree of empathy and can navigate high-pressure environments with composure. Bridging Technical & Business Worlds: A unique ability to translate complex technical data concepts into clear, understandable business language for non-technical leaders and stakeholders. Modern Data Stack Expertise: A strong and practical understanding of the modern data stack, including cloud data warehousing, ETL processes, and business intelligence (BI) tools, with a focus on applying them to solve real-world business problems.