Data Management Analyst

Job Description

Job Description

Ridgewood Technology Partners, LLC is actively seeking Management Analyst, to join our team to provide support to our Department of Navy client.

The successful candidate will provide management, financial, and advanced data analytics support to DON leadership and program stakeholders. This position combines management and financial analysis and data science, data visualization, system integration, and machine learning to support strategi and mission-critical decision-making.

The Management Analyst will collaborate with problem directors, financial managers, technical teams, and other stakeholders to transform complex financial and operational data into actionable information. Responsibilities include executive-level reporting, quantitative and financial analysis, targeted data calls, data integration, automated analytical workflows, and development of visualization products.

Key Responsibilities

Leadership, Financial & Strategic Analysis

· Develop executive-level analytical and financial reports, dashboards, briefings, and presentations for DON leadership and program stakeholders using Microsoft Excel, PowerPoint, Power BI, and other visualization tools. · Respond to recurring and ad hoc reporting requirements and translate complex financial, operational, and technical information into clear findings and recommendations. · Develop and monitor key performance indicators (KPIs), performance measures, and other metrics supporting organizational and strategic objectives. · Analyze budgets, expenditures, forecasts, program costs, and resource requirements to identify trends, risks, variances, and opportunities. · Develop financial models supporting forecasting, resource allocation, budget planning, cost-benefit analysis, and management decision-making. · Apply knowledge of the Planning, Programming, Budgeting, and Execution (PPBE) process to financial and resource analyses.

Mission-Critical Data & System Integration

· Design, coordinate, and analyze targeted data calls supporting DON strategic initiatives, SECNAV memoranda, and leadership priorities. · Translate strategic guidance, policy requirements, and leadership requests into clearly defined data and reporting requirements. · Lead or support data mapping and alignment across systems of record, financial tracking databases, operational data calls, and other authoritative sources. · Identify and reconcile discrepancies across systems and establish common data definitions and methodologies to improve reporting consistency and accuracy. · Document data structures, business rules, transformations, definitions, and data lineage to support repeatable analytical processes.

Data Analytics, Visualization & Machine Learning

· Develop and maintain scalable analytical models, automated workflows, and data pipelines using Python and other approved technologies. · Collect, clean, integrate, validate, and analyze structured and unstructured data from multiple sources. · Conduct quantitative and statistical analyses to identify patterns, correlations, anomalies, risks, and emerging trends. · Develop interactive dashboards and visualization products using Power BI, Palantir Foundry, Microsoft Excel, and similar platforms. · Apply data science and machine learning techniques, including regression, classification, clustering, forecasting, anomaly detection, and predictive modeling, as appropriate. · Develop, test, and evaluate predictive models to support financial forecasting and organizational decision-making. · Identify opportunities to leverage artificial intelligence, machine learning, and automation to improve analytical and reporting processes.

Stakeholder Collaboration

· Collaborate with program directors, financial managers, government clients, technical teams, and other stakeholders to define business questions, data requirements, and desired outcomes. · Translate policy, financial, strategic, and leadership requirements into executable analytical requirements. · Communicate analytical findings, risks, and recommendations effectively to both technical and non-technical audiences. · Coordinate across functional organizations to resolve data discrepancies, standardize reporting methodologies, and improve enterprise-level reporting.

Qualifications

· Bachelor’s degree in finance, Accounting, Economics, Data Science, Business Analytics, Statistics, Mathematics, Computer Science, Operations Research, or related discipline. · Demonstrated experience performing management, business, program, financial, or quantitative analysis. · Experience analyzing financial and operational datasets and presenting findings to management and senior leadership. · Advanced proficiency in Microsoft Excel, including formulas, pivot tables, data manipulation, analytical modeling, and reporting. · Strong proficiency in Microsoft PowerPoint and experience developing executive-level presentations. · Experience developing analytical models, dashboards, reports, or decision-support tools. · Experience using Python for data analysis, automation, or analytical workflows. · Experience with Power BI or comparable business intelligence and visualization tools. · Experience with or working knowledge of Palantir Foundry and Databricks is highly desirable. · Working knowledge of data structures, data mapping, data integration, and data quality principles. · Basic understanding of the Federal Budget Cycle and PPBE process. · Ability to analyze and reconcile information across multiple systems and data sources. · Strong analytical, critical-thinking, problem-solving, written, and verbal communication skills. · Ability to communicate complex financial and technical concepts to senior-level and non-technical stakeholders.

Security Requirements · Active Top Secret (TS) security clearance with SCI eligibility is highly desirable. · U.S. Citizenship is required.