{"id":836731,"url":"https://alion.io/job/castletontowerllc-senior-analyst-data-engineering-investment-analytics","title":"Senior Analyst, Data Engineering & Investment Analytics","company":{"id":690872,"name":"Castleton Tower Consulting, LLC","domain":"castletontowerllc.com","url":"https://alion.io/company/castletontowerllc","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":216000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":787},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Looker","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Edge AI","optional":true}],"status":"live","first_seen_at":"2026-04-22T16:15:32Z","employer_posted_date":"2026-04-22","last_verified_at":"2026-09-23T19:18:57Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":153},"description":"The Firm\nCastleton Tower is a boutique consulting firm founded by executives who have built and led quantitative research, data science, and technology teams at top-tier hedge funds and asset managers. We work exclusively with investment management firms (asset allocators, asset managers, hedge funds, family offices, and RIAs) helping them modernize their data infrastructure and build AI-ready foundations.\nWhat makes us different: We're a lean firm where senior practitioners do the actual work. No armies of junior consultants learning on your dime. Our engagements blend high-level strategy with hands-on technical implementation. We'll assess your technical & business strategy, design your data architecture, and code up the full-stack infrastructure where needed.\nThe Opportunity\nWe're looking for someone who lives at the intersection of data engineering and investment analytics. You'll be equally comfortable building a production data pipeline in Python and presenting portfolio analytics insights to a CIO. This role blends hands-on technical work with strategic client engagement - you'll build the data infrastructure and derive the business insights that drive investment decisions.\nThis is not a pure engineering role or a pure strategy role. It's both. You'll design Snowflake schemas in the morning, build dbt models after lunch, and walk a client through their portfolio risk dashboard before the end of day.\nWhat you'll get:\nStrategic Impact: Lead full-scope projects from architecture design through analytics delivery - not just strategy decks or just code\n\nDirect Mentorship: Work alongside the firm's Principals on every engagement\n\nModern Tech Stack: Work with best-in-class tools (Snowflake, Databricks, dbt, Dagster, Sigma, AWS, etc.) and cutting-edge AI/agentic development workflows\n\nPath to Growth: Clear trajectory toward expanded responsibilities, with potential to transition into a senior role at a leading Bay Area asset allocator\n\nCore Responsibilities\nInvestment Analytics & Client Engagement\nPartner with investment professionals (PMs, CIOs, COOs, Heads of Operations) to understand their analytical needs and translate them into data products\n\nBuild customized dashboards, analytics tools, and quantitative investment applications\n\nPresent data-driven insights and recommendations to senior client stakeholders\n\nIdentify opportunities where better data infrastructure can improve investment processes\n\nData Engineering & Technical Delivery\nDesign and implement scalable data platforms (data warehouses, data lakes) and end-to-end data pipelines for investment firms\n\nDevelop and optimize production-grade code (Python/SQL) for data transformation and financial analysis\n\nBuild and maintain data models that support portfolio analytics, risk reporting, and investment operations\n\nLeverage AI-assisted development tools to accelerate delivery\n\nBridging the Gap\nTranslate business requirements from investment teams into robust technical architectures\n\nOwn projects end-to-end: from scoping the business problem, to building the data layer, to delivering the analytics\n\nEnsure technical solutions are grounded in real investment workflows, not just technically elegant\n\nQualifications\nRequired:\n5+ years of hands-on experience in a role that combined data/analytics engineering with business analysis or investment analytics\n\nPrior experience within investment management, financial services, or firms that serve them (hedge funds, asset managers, fintech, financial consulting)\n\nProficiency in Python and advanced SQL for both data engineering and analytical work\n\nExperience with modern data platforms (Snowflake, Databricks, or similar) and data modeling principles\n\nDemonstrated ability to communicate technical concepts to non-technical investment professionals\n\nComfort working directly with senior clients and managing stakeholder expectations\n\nValued:\nExperience with data pipeline orchestration tools (Airflow, Dagster, Prefect)\n\nBackground in portfolio analytics, fund accounting, or investment operations workflows\n\nFamiliarity with BI/visualization tools (Sigma, Tableau, Looker)\n\nManagement consulting experience (strategy or implementation)\n\nExperience building quantitative trading or investment tools\n\nPersonal Attributes:\nHigh ownership mentality: you see problems through to resolution without being told\n\nEqually curious about the data engineering and the investment side\n\nComfort with ambiguity and ability to structure unstructured problems\n\nExecutive presence to hold your own with senior investment leaders\n\nIndependent thinker who takes initiative and understands what high-quality work looks like\n\nLocation & Compensation\nLocation: Bay Area (hybrid).\nCompensation:\nCompetitive total compensation commensurate with experience\n\nThis role offers a path to join a leading Bay Area-based asset allocator, with an anticipated transition by January 2027","description_format":"text","description_chars":4909,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data & Analytics","Financial Services","Data Integration"],"lifecycle":[{"event":"open","at":"2026-09-12T19:26:31Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.301,"p_room":0.28,"age_days":153,"expected_fill_days":43,"reasons":["conf:9","win:tail","crowd:"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/castletontowerllc-senior-analyst-data-engineering-investment-analytics","json_url":"https://alion.io/job/castletontowerllc-senior-analyst-data-engineering-investment-analytics.json","meta":{"generated_at":"2026-09-23T23:19:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}