Top Analysis Reporting Jobs in Pensacola, FL

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The Data Engineer will develop and implement ETL processes, design data architectures, work with data platforms, and ensure data solutions meet scalability and security needs. Responsibilities include mentoring junior engineers and collaborating with stakeholders to gather requirements and optimize data transformations.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead complex analytics projects for commercial real estate: translate business needs into data solutions, perform advanced statistical modeling and scenario analysis, design launch and change-management plans, mentor junior analysts, and partner with technical teams to implement cloud-based analytics (Azure) and visualization solutions.

Advise on automation opportunities, analyze multiple data sources to produce reports, dashboards, and models; validate curriculum data across Navy systems; create visualizations and deliver training; develop and test data algorithms; provide business recommendations to improve operations.

The Principal Technical Product Analyst will strategize and enhance observability and AIOps capabilities, promote insights into operational efficiency, and lead cross-functional collaboration while ensuring standards and frameworks are established.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Analyze enterprise KPI performance, build baselines and targets, run recurring KPI tracking, and translate findings into recommendations for Finance and program owners. Use modern analytical and AI-augmented platforms to produce defensible target-setting work, performance reads, and clear written and visual narratives that inform planning cycles.

Produce executive-grade briefs from cross-functional research and listening programs under compressed timelines. Shape questions, synthesize quantitative and qualitative evidence, craft recommendations and visuals for C-suite and Board, coach analysts, and track briefing-driven decisions to close the loop.

Design and manage VoC instruments and recurring feedback programs, ensure data quality, synthesize insights, and own the insights repository, decisions journal, and methodology library. Partner with VoC and KM vendors, run institutional-memory rituals (intake, closeout, handoffs), coach peers on VoC craft and documentation, and maintain taxonomy and metadata for enterprise-scale reuse.

Bridge enterprise customers' legacy BI to Hightouch by reverse-engineering complex marketing reports, building reusable reporting frameworks, engineering and documenting semantic/context layers, ensuring accurate SQL generation, and training non-technical marketers while collaborating cross-functionally to deliver reliable, idempotent AI-driven analytics.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).