Top Data & Analytics Jobs

Supports enterprise business intelligence through ETL, SQL development, data warehouse modeling, SSRS reporting, SSAS cubes, Qlik analytics, dashboards, documentation, quality assurance, and issue resolution. Partners with cross-functional stakeholders to gather requirements, translate business needs into reporting solutions, ensure data accuracy, and train end users. The role requires independent analysis while collaborating with senior BI staff and supporting organizational decision-making.

Designs, develops, tests, deploys, and supports enterprise data products, pipelines, transformations, and analytics solutions using Databricks and cloud technologies. Builds governed Bronze, Silver, and Gold lakehouse assets; implements data quality, monitoring, security, and access controls; and develops reusable data models and engineering components. Collaborates with architects and Agile delivery teams, participates in reviews and CI/CD, troubleshoots performance issues, automates operational processes, and documents technical solutions. The role supports reporting, operational workloads, and AI/ML use cases.

Maintains the ADEA Data Portal and research data platform, including dashboards, datasets, documentation, functionality, privacy, and security. Collects, cleans, validates, analyzes, and reports dental education data using surveys, administrative sources, scraping, and databases. Develops spreadsheet and interactive visual reports, supports members and vendors, contributes to automation and algorithms, and ensures data integrity and regulatory compliance.

Maintains accurate records across spreadsheets, databases, and internal systems. Reviews and verifies information, identifies discrepancies, organizes digital files, updates records, prepares simple reports, and supports basic research. The role requires strong attention to detail, confidentiality, reliable independent work, and proficiency with spreadsheet and document-management tools in a remote environment.

Analyze client website and funnel data using spreadsheets, analytics platforms, and CRM tools. Create and maintain reports, investigate data anomalies, identify root causes, gather reporting requirements, document report updates, and uncover opportunities for website A/B testing. The role requires strong data literacy, attention to detail, English communication, adaptability, and willingness to learn conversion rate optimization.

Analyzes complex marketing data to identify trends, evaluate campaign performance, and inform strategic decisions. Develops analytic frameworks, data models, audience segments, dashboards, and reporting tools. Builds SQL queries and code-based solutions using Python and APIs to enhance marketing systems, integrations, automation, data integrity, and process efficiency.

Build and improve data products, reporting layers, integrations, workflow tools, dashboards, and product-facing data features. Translate ambiguous business needs into maintainable technical solutions, improve data reliability and accessibility, and support analytics, experimentation, segmentation, personalization, and reporting. Collaborate with engineering, product, marketing, e-commerce, and business systems teams while documenting data logic and identifying reusable capabilities.

Leads commercial analytics and business intelligence for global eCommerce by extracting enterprise data, identifying trends and performance drivers, and creating executive-ready Power BI dashboards, reporting views, and insight narratives. Defines KPI architecture and measurement logic, supports data-quality and reporting standards, and collaborates with data, BI, engineering, and commercial analytics teams to deliver trusted, actionable insights.

Analyze NPS, customer experience metrics, survey data, and multiple data sources to identify trends and drivers. Build and maintain dashboards and recurring reports, synthesize findings, and translate analysis into clear narratives and actionable recommendations. Partner with CX, research, analytics, and business stakeholders to answer complex questions, support measurement initiatives, and inform customer experience strategy.

Support Business Intelligence and Business Development teams through SQL data analysis, Tableau dashboard development, reporting automation, process documentation, and pipeline visibility. The intern will work with relational databases and tools including Snowflake, SSRS, Python, and Tableau while supporting cross-functional reporting requests. The role includes mentorship, knowledge-sharing, and presenting findings at the end of the summer program.