Top Data & Analytics Jobs

Supports business analytics projects by translating business questions into data requirements, developing relational data models and Power BI reports, validating data integrity, analyzing ad hoc datasets, documenting projects, training users, and presenting findings. The intern also contributes to digital tool development and continuous improvement initiatives.

Architects, builds, and scales data pipelines, ETL processes, data models, and platforms using dbt, Snowflake, Airflow, and Fivetran. Leads data engineering best practices including CI/CD, data quality, governance, and observability. Collaborates with Data Science, Engineering, Product, and business stakeholders; mentors engineers and data scientists; contributes to architecture and technical decisions; and participates in on-call support.

Analyzes nursing workforce trends, staffing capacity, labor utilization, turnover, absenteeism, and leave activity. Develops dashboards, reports, workforce forecasts, staffing models, and capacity-planning analyses. Partners with nursing, HR, Finance, Staffing, and Talent Acquisition leaders to identify workforce risks, recommend staffing strategies, improve resource allocation, and support data-driven decisions. Ensures workforce data accuracy and standardizes metrics, reporting methodologies, and analytical processes.

Designs, builds, and maintains scalable Azure data pipelines and ELT frameworks using Databricks, SQL, Python, and PySpark. Implements Azure DevOps CI/CD, monitoring, security, infrastructure automation, and production support. Collaborates with BI teams on Power BI datasets, documents data solutions, participates in Agile delivery, and mentors junior engineers. The role requires strong data modeling, structured and semi-structured data expertise, performance tuning, and data governance awareness.

Designs enterprise data ecosystems spanning legacy and cloud platforms. Leads data modeling, ETL/ELT architecture, Azure data solutions, governance, metadata, lineage, validation, curated datasets, and semantic layers. Translates business KPIs into technical components, guides architecture reviews, manages technical debt, and partners with engineering and business stakeholders. Requires strong SQL and Python skills, hybrid infrastructure experience, and advanced data architecture expertise.

Develop and maintain scalable data pipelines, streaming systems, data warehouses, and analytics infrastructure using Kafka, Flink, ClickHouse, SQL, Java, Python, AWS, and related technologies. Assemble complex datasets, improve data delivery and process efficiency, validate data integrity, support Tableau analytics, document business processes, assist with testing and project delivery, and collaborate with technical and business stakeholders.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Leads eCommerce marketing analytics and customer acquisition strategy across paid search, social, display, and affiliate channels. Translates complex data into recommendations for investment, attribution, forecasting, and channel performance. Oversees dashboards, experimentation, statistical analysis, bidding models, and scalable reporting infrastructure while partnering with marketing, data science, engineering, and senior leadership. Manages and mentors analysts and drives end-to-end analytical initiatives that improve profitability, customer experience, and marketing efficiency.

Partners with institutional stakeholders to define analytical needs, conduct data analysis, identify trends and risks, and translate findings into actionable insights. Builds and maintains Tableau dashboards, reporting products, data assets, transformation logic, and analytics infrastructure. Ensures data quality, consistency, documentation, and reliable business metrics. Provides guidance on reporting and analytical practices, supports dashboard development, and may supervise or mentor analytics staff.

Serves as a data-management subject matter expert supporting intelligence and counterintelligence organizations. Establishes data frameworks, governance policies, metadata standards, quality controls, interoperability processes, KPIs, dashboards, and analytical products. Advises leadership on modernization, resource allocation, and operational planning; coordinates with data scientists, engineers, security personnel, and Intelligence Community stakeholders. Requires active TS/SCI CI Poly and on-site work in a DIA SCIF.