Top Data & Analytics Jobs

Designs, builds, and optimizes cloud data solutions using Microsoft Fabric and Azure. Develops data pipelines, Lakehouse architectures, ELT/ETL processes, data models, semantic models, and Power BI reporting. Partners with stakeholders to define requirements and technical designs, supports platform migrations, and implements data quality, governance, security, and monitoring practices. The role also contributes to AI and machine learning data initiatives and requires strong SQL, Python, PySpark, and modern cloud data engineering expertise.

Design and lead scalable, secure, highly available database infrastructure for multi-terabyte SQL Server environments. Set technical direction for data architecture, performance, real-time pipelines, security, and growth. Troubleshoot complex production issues, optimize queries and indexes, guide cross-functional projects, mentor engineers, review changes, reduce technical debt, and evaluate emerging technologies. Monitor database health using Splunk, Datadog, and Grafana while influencing engineering and Site Reliability strategy.

Designs and implements scalable data architectures, ingestion and transformation pipelines, API integrations, cloud data solutions, and data governance practices. The role supports analytics, business intelligence, dashboards, and AI models while optimizing infrastructure performance and cost. Responsibilities include data modeling, security, quality, lineage, compliance, documentation, and collaboration with cross-functional stakeholders. Requires expertise in Microsoft Fabric, AWS and Azure data services, SQL, Python, Tableau, and modern ETL/ELT practices.

Build and deliver accurate, secure audience files for multi-channel marketing campaigns using CRM and campaign orchestration technologies. Create reports and dashboards, maintain campaign calendars, investigate data issues, and perform quality assurance on segments, flows, and output files. The role requires database marketing, SQL or Python, reporting tools, campaign channel knowledge, strong organization, and attention to data accuracy, compliance, and deadlines. This is a hybrid position based in Orlando.

Creates reports, data extracts, analyses, data processes, and business intelligence solutions. Builds and documents code for transforming, aggregating, and presenting data; learns organizational data sources and flows; communicates with colleagues; and participates in training. The role requires a technical bachelor's degree, strong mathematics and statistics skills, experience with SQL or programming/database languages, dashboarding tools, and Excel proficiency.

Manages wildfire debris-removal data, including field-data quality assurance, load-ticket reconciliation, invoice discrepancy identification, reporting, and project-document control. The role coordinates reconciled and voided tickets with contractors, prepares payment recommendations, exports client reports, maintains project records, and supports closeout activities. Work occurs in remote Alaska with extended shifts, weekends, and potentially 70–90 hours per week during the response period.

Manages dealership and vendor systems, builds customized reports, administers dealership applications, trains staff, and delivers executive-ready KPI analyses. Extracts, models, and compares operational performance data against regional and manufacturer benchmarks, maintains recurring reports, ensures data integrity, and conducts targeted data mining and ad hoc analyses to identify business opportunities.

Performs institutional data analysis, statistical reporting, program assessment, and research to support university planning and accountability. Develops and maintains statistical programs, data archives, web-based collection and reporting mechanisms, and administrative report-writing tools. Conducts quantitative and qualitative analyses, prepares institutional studies, supports strategic planning and enrollment management, and communicates findings to faculty and staff while maintaining data integrity and confidentiality.

Designs, builds, and operates reliable Azure data pipelines using Databricks, Azure Data Factory, PySpark, Spark SQL, and Delta Lake. Responsibilities include batch and streaming ingestion, ELT transformation, dimensional modeling, data quality enforcement, CDC, schema management, monitoring, alerting, governance, CI/CD, documentation, and operational support. Partners with architects, BI developers, and stakeholders to deliver analytics-ready datasets and improve pipeline performance, reliability, and cost efficiency.

Design and develop scalable data pipelines, data models, schemas, and integrations for a video advertising platform. Collaborate across engineering, define user stories, deliver features using AI-assisted tools, write unit tests, maintain code quality, and support production systems on a rotating schedule. The role requires strong SQL, ETL/ELT, dbt, Airflow, Snowflake, AWS, and data architecture expertise.