Top Hybrid Data & Analytics Jobs

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.

Perform advanced pricing and trade analysis for the Grocery segment, using multiple data sources to guide list pricing, promotions, and investments. Analyze market trends, margins, competitive pricing, volume, and promotional tactics to identify risks and opportunities. Translate data into recommendations and leadership presentations, build reporting frameworks, collaborate cross-functionally, and lead pricing process and tool initiatives.

Conduct data profiling, SQL-based analysis, statistical research, reporting, dashboard development, and pricing analysis for insurance products. Translate business needs into analytical solutions, validate data and outputs, and present recommendations to finance, pricing, underwriting, leadership, and other stakeholders. Collaborate with data engineers on testing, quality assurance, and continuous improvement while investigating root causes and identifying new insights. May mentor junior analysts.

Build and maintain dbt models, canonical revenue marts, and dashboards integrating Salesforce, CPQ, Orb, product usage, billing, contracts, and invoices. Reconcile usage with billed revenue, define revenue metrics, support forecasting and monthly close, and document data lineage, testing, and exception handling. Partner with Finance and Revenue Operations to provide reliable reporting for ARR, commitments, consumption, NDR, expansion, and related revenue metrics.

Develop and maintain scalable dbt models, dimensional data models, semantic layers, metrics, documentation, tests, and data governance on Snowflake and modern data platforms. Partner with cross-functional stakeholders to define KPIs and deliver trusted self-service analytics. Investigate data quality issues, optimize workloads, improve platform reliability, mentor junior team members, and explore AI-driven workflow automation.

Build and maintain scalable data pipelines, analytics data warehouses, ETL processes, data models, and infrastructure supporting reporting, analytics, and machine learning. Ensure data quality from creation through presentation layers, translate stakeholder needs into deliverables, improve tooling and pipeline reliability, and participate in on-call support. The role involves modern big data architecture, containerization, cloud platforms, and data engineering technologies.

Leads multidisciplinary data engineering and research projects supporting sleep physiology and wearable-device modeling. Designs and maintains multimodal data pipelines, ETL workflows, schemas, databases, cloud infrastructure, and machine-learning data products. Oversees data ingestion, cleaning, performance optimization, governance, documentation, and regulatory support while mentoring engineers and analysts. Translates scientific hypotheses into scalable engineering solutions, communicates progress to leadership, and provides technical oversight across the full data ecosystem.

Leads enterprise business intelligence development, translating stakeholder goals into scalable dashboards, reports, KPIs, and analytics. Partners with data engineering, mentors developers, leads medium-sized projects, supports QA and production applications, researches system issues, and contributes to BI architecture, roadmap planning, user education, and stakeholder prioritization. The role includes rotational after-hours on-call support and minimal travel.

Generate and quality-control high-volume customized and standardized client reports on weekly, monthly, and quarterly schedules. Complete due diligence questionnaires, investigate client inquiries, maintain data integrity with vendors and intermediaries, and prepare materials for portfolio management, client groups, marketing, and presentations. Collaborate across departments, communicate findings, meet deadlines, and develop expertise in the firm’s investment philosophy and processes.

Leads the design, development, and delivery of database, business intelligence, data warehouse, and data integration solutions. Provides architectural guidance, gathers complex business requirements, establishes development standards, and leads technical teams. Designs data models, ETL jobs, metadata repositories, and ODI integrations; maintains database models; and audits performance, service-level compliance, and system health across telecommunications and real estate data environments.