Top Data & Analytics Jobs

Build and quality-check short-term-rental market reports using Google Sheets and AirDNA data, investigate local amenities, improve presentation with Claude, edit Markdown and HTML files, and publish polished deliverables through Cloudflare. The role requires strong attention to detail, accurate formatting, dependable delivery, and familiarity with Monday.

Maintain the integrity and accuracy of the Raiser's Edge donor database, monitor gift coding and new records, produce donor, financial, dashboard, and fundraising reports, reconcile gifts with Finance, generate mailing lists and acknowledgment letters, and establish database procedures and best practices. The role also coordinates data flow across software systems, supports development teams, and ensures confidential handling of donor information.

Supports banking applications, integrations, data transformation, reporting, dashboards, data quality, and analytics. Troubleshoots application and integration issues, assists with implementations and testing, validates data, gathers business requirements, maintains reporting documentation, and supports governance, compliance, security, and audit activities. The role also contributes to workflow automation, process improvement, and responsible adoption of AI technologies in financial services.

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

Supports operations through advanced data analytics, statistical modeling, machine learning, and automated data pipelines. Extracts, cleans, merges, validates, and transforms data into metrics, reports, dashboards, and research-ready datasets. Develops reproducible workflows using Stata, R, SAS, Python, and SQL; implements data standards and policies; and collaborates with IT and data engineering teams to improve scalability, reliability, and analytical capabilities.

Build and lead Vibe’s Marketing Science function, defining measurement strategy and frameworks for incrementality, lift studies, attribution, and marketing mix modeling. Partner with Product, Data Engineering, Sales, Client Success, clients, and measurement providers to ensure statistically rigorous performance reporting. Analyze SQL data, design experiments, resolve discrepancies, present recommendations to senior stakeholders, publish insights, and build a team of analysts and managers.

Supports operations through advanced data analytics, statistical modeling, machine learning, automated ETL pipelines, and data integration. Develops reproducible workflows, dashboards, reports, metrics, and data standards while cleaning and analyzing observational and healthcare data. Collaborates with IT and data engineering teams to improve scalable analytics infrastructure and evaluates emerging analytical technologies. Requires expertise in Stata, R, or SAS, with scripting and querying experience in Python or SQL.

Analyze programmatic advertising marketplace trends, buyer behavior, auction dynamics, publisher performance, and revenue data. Build scalable reports, dashboards, and KPI frameworks; investigate performance fluctuations; identify monetization and optimization opportunities; and translate complex analyses into actionable recommendations. Partner with cross-functional teams, support strategic planning, present insights to executive stakeholders, and improve analytics workflows using SQL, automation, and business intelligence tools.

Leads pricing analytics and develops data-driven pricing strategies to optimize gross profit, competitiveness, and customer acceptance. Builds reporting and dashboards, advises network and merchandising teams, supports AI-powered pricing solutions, digitizes processes, and drives experimentation and continuous optimization. Collaborates with Data, Sales, Transformation, Purchasing, and Category Management teams to translate business requirements into pricing solutions and communicate recommendations across the branch network.

Lead analytical support for performance marketing by evaluating CAC, ROAS, LTV, conversion, retention, and acquisition efficiency. Conduct deep-dive analyses, experimentation, incrementality studies, and marketing measurement using SQL, Python, and visualization tools. Build scalable reporting frameworks, improve data quality, communicate insights to senior stakeholders, influence channel and budget decisions, and mentor junior analysts.