Top Data & Analytics Jobs in San Luis Obispo, CA

Build and maintain interactive Power BI and Amazon QuickSight dashboards, gather business requirements, define KPIs, develop data models and calculated measures, validate data accuracy, and support governance through documentation in Atlan. The role also includes optimizing dashboard performance, migrating reports across AWS and Azure, partnering with data engineers, and training business users. Candidates need strong BI, SQL, data modeling, and executive stakeholder engagement experience.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Leads AlphaSense’s Financial Services channel research coverage across banking, insurance, and fintech. Develops coverage roadmaps, channel-check frameworks, expert source strategies, and structured questionnaires. Guides analysts and operations teams on project execution, expert targeting, feasibility, and research quality. Acts as the primary financial services domain expert, identifying companies, subsectors, value chains, and research opportunities while improving workflows and ensuring insights are consistent, actionable, and aligned with investor demand.

Leads client-facing database migration and modernization engagements across AWS, relational, and NoSQL platforms. Designs migration architectures, data pipelines, ETL/ELT workflows, proof-of-concepts, and reusable technical accelerators. Facilitates executive conversations and workshops, translates complex technical solutions into business outcomes, and supports pre-sales opportunities. The role also develops GenAI-enabled migration tooling, influences senior stakeholders, and collaborates with distributed engineering, product, and data teams.

Design and deliver cloud-native data platforms, scalable big data pipelines, lakehouses, warehouses, transformation frameworks, BI solutions, and ML-enabled data workflows. Lead client-facing pre-sales engagements, technical workshops, proof-of-concepts, executive conversations, and enterprise data modernization initiatives. Build reusable architectural IP, influence senior stakeholders, and translate ambiguous business challenges into production-ready solutions using AWS and modern data technologies.

Leads the company-wide player, market, and competitive research function. Designs qualitative and quantitative studies, manages research staff and external vendors, establishes intake and prioritization processes, and maintains competitive intelligence and insight repositories. Partners with Marketing, Product, Commercial, UX, Analytics, and senior leaders to translate research into decisions affecting acquisition, conversion, retention, pricing, promotions, and player value across U.S. and international markets.

Supports the Digital & Data Analytics team by validating AI model outputs, improving validation processes, designing Power BI dashboards and visual analytics, gathering business-user requirements, and developing applications using Microsoft Azure capabilities. The intern will also engage in literature reviews and apply basic chemistry knowledge to chemistry-related data sources.

Owns regulatory intelligence, state approval tracking, accreditation data support, clinical placement repositories, dashboards, and operational reporting for healthcare programs across two universities. Integrates data from multiple sources, maintains compliance trackers and audit-ready documentation, supports accreditation reporting, and produces executive, operational, and compliance-focused outputs for academic and senior leadership. Requires cross-functional collaboration, strong data synthesis, attention to detail, and occasional travel.

Own newsroom analytics supporting editorial, audience, and product decisions. Develop dashboards, automated reporting, measurement frameworks, deep-dive analyses, and A/B tests. Maintain reporting data quality and pipelines in partnership with engineering and product teams. Translate findings for nontechnical stakeholders, strengthen analytical practices, mentor junior analysts, and drive adoption of insights across the organization.

Write SQL queries, build dashboards and recurring reports, support newsroom analyses and A/B testing, troubleshoot data quality issues, and communicate findings to editorial, audience, and product partners. The role also involves maintaining documentation, collaborating with data engineering, and using AI tools to automate analytical workflows.

Design, build, and maintain scalable batch and streaming data pipelines using Python, SQL, Kafka, and GCP. Develop REST and GraphQL data services, CI/CD automation, observability, and data-quality frameworks. Integrate ML and NLP models into production workflows, including continuous retraining and real-time inference. Support structured and unstructured healthcare datasets, distributed systems, microservices, and reliable data infrastructure while collaborating with data science and MLOps teams.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.