Top Data & Analytics Jobs

Analyzes digital, marketing, e-commerce, customer, and commercial data to identify growth opportunities and improve customer engagement. Responsibilities include evaluating campaigns and funnels, measuring attribution and ROI, building Power BI dashboards, integrating CRM and marketing data, supporting A/B testing, conducting statistical and predictive analyses, and presenting actionable recommendations to stakeholders.

Designs, develops, tests, and deploys reports, dashboards, and analytics solutions using UKG Pro HCM or Pro WFM. Provides report design, application build support, training, testing, go-live support, change management, documentation, and client consultation during implementations and migrations. The consultant also contributes to internal methodologies, mentors colleagues, and supports sales and marketing initiatives. The role requires SQL, BI tools, advanced Excel, UKG reporting expertise, and up to 10% nationwide travel.

Own measurement strategies for large omnichannel brands, including test design, marketing mix modeling, incrementality analysis, attribution interpretation, and budget recommendations. Translate complex findings into actionable guidance for executives and marketing teams, support prospect conversations, identify customer and product gaps, and collaborate with Product, Data Science, and Customer Success. The role requires strong paid media expertise, omnichannel fluency, statistical measurement literacy, and the ability to communicate uncertainty and recommendations clearly.

Supports payment fraud prevention through system monitoring, fraud trend research, false-positive analysis, quality checks, and strategy evaluation. Helps develop risk-based fraud controls and improve customer experience. Identifies automation opportunities and assists with Power Automate, VBA, and basic scripting projects to reduce manual work, streamline operations, and improve data usage and team efficiency.

Leads and develops product, marketing, and data analysts while overseeing analytics strategy, prioritization, technical standards, experimentation, reporting, and data quality. Partners with Product, Marketing, Finance, Engineering, and recruiting to deliver trusted insights, scalable self-service analytics, and team growth. Requires strong SQL and Python skills, modern data-tool experience, analytics leadership, stakeholder communication, and at least five years in data roles with two years managing teams.

Leads audience strategy and analytics engagements, translating business and media objectives into segmentation, profiling, CRM, lookalike, and opportunity-sizing insights. Analyzes first-party and syndicated data using SQL, Python, R, and research platforms; develops visualizations and recommendations; oversees custom audience solutions and external partners; presents findings to clients; and mentors analysts while advancing analytics methodologies, dashboards, training, and thought leadership.

Conduct real estate market research by collecting, organizing, and analyzing macroeconomic and property-market data. Prepare research reports, build financial models and databases, monitor market activity, assess news impacts, and develop cohesive real estate outlooks. Communicate findings to clients while maintaining data integrity. The role requires strong financial analysis, writing, organization, Excel, and research skills, with statistical programming and AI-tool experience advantageous.

Support digital tools, technology initiatives, project workflows, data management, visualization, and technology-enabled solutions. Collaborate with technical professionals to improve engineering and design team workflows, apply classroom knowledge to real-world challenges, and participate in professional development and networking activities.

Performs business analytics and statistical modeling to identify trends, improve processes, automate reporting, and support decision-making. Develops advanced Excel reports, VBA macros, Power BI dashboards, and Power Platform solutions. Organizes data in OneDrive and SharePoint, communicates insights to nontechnical stakeholders, and collaborates with business and IT teams on recurring and ad hoc projects.

Analyze audience, advertising, campaign, competitive, and cross-platform performance data across linear, digital, and streaming media. Create reports, dashboards, and client-ready insights using syndicated and internal data sources. Support addressable and data-driven advertising from planning through attribution, maintain metadata and data mappings, identify marketplace trends, and communicate recommendations that guide sales strategies and business decisions.