Top Data & Analytics Jobs

Analyzes and validates data to create dashboards, reports, notebooks, visualizations, and reusable analytical workflows. Partners with business, technical, and customer stakeholders to define questions, improve datasets, communicate insights, and support operational and revenue decisions. Uses SQL, Databricks, Python, cloud platforms, version control, and automation practices. Maintains data quality, documents assumptions, manages multiple analytical projects, and travels occasionally to lottery and corporate locations.

Administers, designs, maintains, audits, secures, and monitors complex client/server databases. Develops database structures, supports systems design and programming, maintains data dictionaries, advises users on database access, and ensures data quality, standards, documentation, and system integration. Requires extensive SQL and relational database experience, government security clearance or NACLC, DoD IAT Level II certification, and an approved computing environment certification.

Paid data analyst intern to collect, clean, and analyze e-commerce and marketing datasets, build dashboards, generate customer and performance insights, support market research, and collaborate with marketing, product, and sales teams to drive data-informed decisions.

Develops and administers the organization’s information management system and plan, including governance, records management, lifecycle controls, data classification, security, privacy, data quality, compliance, and information architecture. Establishes policies, retention schedules, standards, documentation, and performance measures; supports information systems and audits; provides training and recommends continuous improvements. Requires onsite work in Albuquerque or Washington, DC, and a Department of Energy Q-level clearance or ability to obtain one.

Creates and manages complex audience segments and marketing communication lists using SQL and relational databases. Responsibilities include list extraction, suppression, quality control, preference management, campaign selection planning, data troubleshooting, historical file uploads, and coordinating email and postal processing. The role supports omnichannel marketing campaigns, manages multiple projects and deadlines, audits list outputs, advises on constituent data needs, and provides training to junior team members.

Owns loyalty, customer, and transaction data platforms end to end, including ingestion, architecture, pipelines, modeling, governance, integrations, monitoring, and reporting. Partners with business leaders and vendors to solve ambiguous data problems, improve reliability, and modernize scalable solutions. Integrates AI, LLMs, and agentic frameworks into analytics workflows while ensuring data quality, security, and cost effectiveness.

Build and support Python data applications, migrate systems to Azure, develop ETL pipelines, manage data lake resources, and design scalable hybrid cloud architectures. The role also involves implementing statistical and machine learning models, improving data science infrastructure, documenting solutions, and supporting analytics databases.

Conducts employee climate and customer brand surveys using qualitative and quantitative research methods. Programs surveys in SurveyMonkey, manages survey distribution and response collection, analyzes findings, and develops actionable recommendations to improve employee satisfaction, customer experience, brand consistency, retention, and operational execution.

Develop and support enterprise BI and data solutions using Power BI and Microsoft Fabric. Responsibilities include building dashboards, reports, data pipelines, ETL/ELT workflows, analytical models, and curated datasets; validating data quality; troubleshooting pipeline issues; documenting data lineage and metrics; and collaborating with technical teams and organizational leaders to deliver trusted, scalable analytics.

Analyze patient cycle times from consultation through treatment start for comparable prostate cancer cases across two first-quarter periods. Review patient charts, record key dates, calculate working-day intervals, compare average cycle times, and provide findings and recommendations. Interns must submit enrollment documentation, academic records, schedules, and a final Microsoft PowerPoint presentation summarizing their work and learning.