Top Data & Analytics Jobs

Analyze options trading data, identify actionable patterns, prototype strategies with traders, and build scripts, dashboards, and automated workflows. The role requires strong Python, statistical and numerical reasoning, SQL or willingness to learn, and familiarity with AI tools. The analyst will investigate market questions, test hypotheses, identify anomalies and operational improvements, and communicate findings that improve trading decisions and desk performance.

Organizes and analyzes construction and distribution data, improves data quality and workflows, supports standardized data structures and reporting, and identifies opportunities to automate manual processes. The role collaborates with cross-functional teams to implement practical digital solutions, develop dashboards, improve data accessibility, and support operational decision-making.

The Operational Reporting Manager develops and improves leadership reporting, analyzes operational trends and drivers, and translates business questions into actionable insights. The role partners with senior stakeholders across marketing, sales, practice management, and financial services; presents results to leadership; uses ThoughtSpot and existing analytics platforms; and identifies data issues and reporting requirements. Initially an individual contributor, the role is expected to grow into leading a small analytics and reporting team.

Design and operate a large-scale AI/ML data platform spanning ingestion, lakehouse storage, cataloging, governance, vector search, dataset versioning, feature and embedding pipelines, observability, and low-latency retrieval. The role owns production reliability and performance, establishes data standards, supports reproducible model training, manages petabyte-scale storage, and mentors engineers while leading technical architecture.

Manage and enhance foreign-language databases, data standards, training records, reporting, and presentations supporting USSOCOM’s LREC programs. Responsibilities include database design, troubleshooting, security, recovery, performance monitoring, system upgrades, application interfaces, disaster recovery planning, and customer support. The role also provides technical guidance, coordinates database projects, prepares briefings for senior leadership, and supports language proficiency testing and bonus programs.

Analyzes field service, technical support, call, and operational data to identify root causes, validate information, improve processes, reduce service issues, and enhance performance. Responsibilities include monitoring work levels, reviewing technical content, managing DIY operations, handling escalated cases, preparing reports and cost analyses, supporting pilot tests, coordinating with factories and departments, and communicating performance insights to leadership.

Build and maintain Power BI dashboards, reports, semantic models, and executive scorecards using Microsoft Fabric, SQL, DAX, and Azure data services. Design lakehouses, data pipelines, ELT processes, and governed BI assets connecting ERP, MES, OT, and WMS data. Troubleshoot performance and data quality issues, support governance and lineage documentation, gather requirements, conduct testing and demos, and provide technical guidance to other BI analysts.

Validate and monitor risk signals used for transaction monitoring, fraud scoring, and rule-based alerting. Ingest, cleanse, transform, and assess data quality; maintain dashboards, scorecards, and documentation; support root-cause analysis, KPIs/KRIs, and remediation; collaborate with Compliance, Data, and Risk teams to refine detection logic and inform model/rule improvements.

Lead the end-to-end migration of quote-to-cash data from Salesforce CPQ and NetSuite into Salesforce Revenue Cloud Advanced and Oracle. Define migration architecture, design ETL pipelines, map and transform complex commercial and financial data, manage cleansing and reconciliation, optimize bulk loads, and lead distributed ETL developers. Produce migration specifications, runbooks, cutover plans, and audit-ready reconciliation reports while coordinating with Finance, Sales Operations, IT, and executive stakeholders.

Analyze and govern marketing data, build dashboards and reports, validate tracking and data quality, develop customer journey segmentations, support campaign measurement and A/B testing, and translate findings into actionable recommendations. The role partners with marketing, communications, analytics teams, stakeholders, and vendors to improve data governance, reporting processes, marketing effectiveness, and data-driven decision-making.