Top Analysis Reporting Jobs in Little Rock, AR

Perform GIS data processing and automation using arcpy and Python, develop SSIS/SQL Server workflows, communicate status to managers and users, track time, follow quality standards, collaborate in a team, estimate and schedule work, and resolve issues promptly.

The Business Analyst identifies opportunities for improvement in internal processes, creates business documentation, analyzes software impacts, and conducts training for end users, requiring extensive travel to courts.

Build and operate scalable batch, streaming, and event-driven data pipelines, cloud data platforms, trusted data products, and analytical models. Improve data quality, observability, reliability, performance, and cost efficiency while supporting risk, finance, product, analytics, and AI initiatives. Partner cross-functionally, influence architecture, lead complex technical initiatives, mentor engineers, and establish strong engineering practices including testing, CI/CD, governance, and infrastructure automation.

Develops governed semantic models, analytical datasets, metrics, and reusable reporting assets using Microsoft Fabric and Power BI. Builds SQL transformations, dimensional models, DAX calculations, validation controls, and enterprise reports. Partners with data engineering, governance, and business stakeholders to document lineage, ensure data quality and security, support AI-ready datasets, modernize reporting, and provide production support.

Leads Bristow’s global Flight Data Monitoring program, overseeing data processing, validation, analysis, reporting, quality control, systems, change management, confidentiality, and stakeholder coordination across participating AOCs. Manages the FDM team, maintains data integrity, evaluates event effectiveness, supports approved event-set implementation, and provides safety trends, KPIs, and recommendations to operational leaders, regulators, customers, and safety groups.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Supports the Reporting and Insights team by developing data models, pipelines, dashboards, and ad hoc analyses. Responsibilities include SQL optimization, data validation, pipeline governance, requirements documentation, release management, stakeholder collaboration, and resolving business and technical issues across teams.

Build and maintain analytics solutions for cloud technology and network infrastructure teams. Responsibilities include gathering requirements, automating reporting, developing self-service analytics, maintaining data pipelines and models, querying multiple data sources, and communicating insights through dashboards and reports. The role supports data-driven planning, capacity management, colocation, and finance decisions while collaborating with technical and business stakeholders.

Lead design and implementation of tracking with GTM, analyze user behavior in GA4, build BigQuery queries and dashboards, define KPIs with cross-functional teams, troubleshoot tagging/data issues, and perform deep-dive conversion and journey analyses to optimize web and mobile performance.

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).

Analyze customer behavior, forecasts, market share, retention, revenue growth, and operational performance. Develop analytics frameworks, use Tableau and Snowflake with cross-functional analytics teams, apply AI-enabled workflows, and communicate actionable recommendations to leadership to support staffing, prioritization, and strategic decision-making.