Top Analysis Reporting Jobs in Atlanta, GA

Maintains and updates conflicts database records, especially corporate trees, parent-subsidiary relationships, and affiliated entities. Researches mergers, acquisitions, and other corporate transactions to keep data current, performs quality-control reviews, resolves discrepancies, and collaborates with Finance, Firm Intelligence, and Intake & Conflict Services teams. The role requires corporate research, database maintenance, strong attention to detail, and proficiency with research tools and online databases.

Leads client-facing data engineering engagements by designing scalable data architectures, pipelines, models, and schemas. Translates business requirements into technical solutions, optimizes data delivery and automation, and supports analytics initiatives. Mentors data engineering teams, collaborates with technical and business stakeholders, contributes to proposals and estimates, and manages project communications. The role requires consulting expertise, strong SQL and big data skills, cloud experience, and frequent client travel.

Develop enterprise business intelligence solutions by integrating multiple data sources, building data models, writing SQL queries, creating dashboards and reports, testing hypotheses, forecasting performance, and delivering actionable insights. The role involves requirements gathering, data governance, stakeholder engagement, executive presentations, cross-functional project leadership, and improving business processes, revenue generation, risk management, and customer experience.

Own client-facing data services projects for private markets and financial services clients. Responsibilities include onboarding clients, structuring data from multiple sources, managing data collection, preparing status reports, creating customized dashboards and reporting templates, handling client requests, supporting new product launches, and mentoring Associates. The role requires strong Excel and Microsoft Office skills, client service, communication, organization, and attention to detail.

Analyze complex, high-volume data; create dashboards, visualizations, KPI reports, and ad hoc analyses; communicate actionable insights to technical and non-technical stakeholders; collaborate cross-functionally to define analytics requirements; improve reporting practices; and provide guidance and training on analytical tools and methodologies.

Supports collection, validation, analysis, visualization, and reporting of operational, financial, utility, and environmental performance data across a multifamily real estate portfolio. The intern reviews data quality, identifies trends and anomalies, develops stakeholder presentations, evaluates business initiatives, and assists with business intelligence, benchmarking, certifications, and sustainability projects.

Analyzes digital and traditional media performance, develops KPI reports, and builds dashboards using visualization and analytics tools. Provides insights on media mix, audience targeting, creative effectiveness, and marketing revenue trends. Conducts campaign deep dives, A/B and incrementality testing, and automates reporting processes. Collaborates with marketing and analytics teams to identify performance drivers, resolve issues, and optimize media investments and site performance.

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

Leads enterprise Master Data Management operations across Customer, Vendor, Material, and Reference Data domains. Manages an MDM team, platform reliability, data models, match-merge and survivorship rules, golden records, hierarchies, stewardship workflows, governance integration, and cross-region harmonization. Partners with Data Engineering, Data Governance, and business stakeholders to deliver reliable, governed data for analytics, reporting, and AI. Oversees team development, performance, capacity planning, architecture reviews, and audit support.

Supports compliance testing for consumer lending and servicing by sourcing and analyzing loan-level data, building sampling and automated testing scripts, evaluating internal controls, identifying performance trends, preparing compliance KPIs and reports, and communicating control weaknesses and remediation plans. The role also contributes to data architecture and develops subject-matter expertise in financial services compliance.