Sr. Data Analyst

Senior Data AnalystOur Client is seeking a Senior Data Analyst to lead complex, high-impact analytical initiatives that inform business decisions, improve program performance, and support growth. This senior individual contributor will own projects end-to-end—from framing ambiguous questions to building scalable solutions and translating insights into clear, actionable recommendations for stakeholders across the organization.You will work hands-on with large, varied datasets using Python, Pyspark, and SQL, build and automate analytical workflows on modern cloud platforms (with a strong preference for Databricks), and create repeatable frameworks that elevate team effectiveness. As an informal leader, you will mentor analysts, establish best practices, and help drive planning and execution within a sprint-based environment while connecting analytics to financial goals, client outcomes, and strategic priorities.Job Responsibilities:Own complex analytical projects from problem definition through analysis, recommendation, implementation, and measurementManipulate, analyze, and visualize large datasets using Python, Pyspark, and SQL across formats including JSON, XML, and CSVBuild and orchestrate scalable, automated analytical workflows using cloud data platforms such as DatabricksTranslate unstructured business questions into clear analytical approaches and actionable recommendationsProactively identify performance issues, opportunities, and areas where data can improve business outcomesDevelop creative solutions and workarounds when product, engineering, or data constraints ariseOwn issues through resolution, coordinating and escalating across teams as neededPartner closely with cross-functional stakeholders to understand context, prioritize work, and target highest-value opportunitiesCommunicate findings and recommendations through presentations, meetings, documentation, and published analysisManage personal backlog and commitments through two-week sprint planning while contributing to team-level sprints and OKRsLead larger team initiatives, OKRs, planning sessions, and highly collaborative cross-functional meetings when neededCreate documented best practices, scalable processes, and analytical frameworks that improve team effectivenessMentor junior analysts and serve as an informal leader and escalation point for complex analytical challengesUnderstand key financial goals and optimize program performance against those objectives using dataContribute to quarterly and annual forecasting and budgeting by translating operating inputs into financial outcomesDevelop an understanding of go-to-market strategy and how analytics can support growthIncorporate client commitments, revenue, margins, renewals, and potential contractual upside into analyses and recommendationsConnect analytical work to company objectives, client growth strategies, MBOs, and broader business prioritiesDesign solutions that are stable, repeatable, and scalable across teams and programs rather than one-off fixesLead by example, model behaviors aligned with Our Client's values, and actively participate in broader team and company initiativesJob Requirements:Typically 3–5+ years of relevant analytics experience with demonstrated growth in scope and ownershipAdvanced proficiency with Python, Pyspark, and SQLExperience working with complex datasets and multiple structured and semi-structured data formatsExperience with modern cloud data and analytics platforms; Databricks experience strongly preferredProven ability to define and solve ambiguous or unstructured problems using strong analytical and problem-solving skillsDemonstrated track record of independently leading complex analytical projects with limited supervisionAbility to move beyond reporting to identify insights, make recommendations, and influence business decisionsStrong business acumen with interest in the financial and commercial implications of analytical workExcellent written and verbal communication skills for both technical and non-technical audiencesStrong cross-functional relationship-building skills with the ability to establish credibility across the organizationExperience mentoring or supporting the development of other analysts is preferredAbility to balance multiple priorities and operate effectively in a sprint-based environment.