Senior Data Analyst

Senior Data Analyst

The Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts, data analysts, and dashboard developers. The ideal candidate is a strong communicator, an experienced hands-on analyst, and a collaborative team lead who can mentor junior analysts and lead small project teams.

Responsibilities:

• Lead complex data analysis efforts to identify trends, patterns, risks, performance drivers, and actionable insights that support federal client leadership decisions.
• Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis.
• Develop, optimize, and maintain SQL queries, views, scripts, and data logic used to support dashboards, ad hoc reports, and recurring decision-support products.
• Utilize Python scripting for ETL processes, including data extraction, cleansing, transformation, validation, and preparation for downstream analysis and visualization.
• Design and build curated datasets, data models, and data structures that support accurate, repeatable, and scalable reporting.
• Develop dashboards, data visuals, and business intelligence products using Power BI, and other BI tools.
• Integrate Python into Power BI for highly customizable and complex statistical visualizations.
• Build ad hoc reports and analytical products in response to client leadership, operational, and program management needs.
• Partner with federal client stakeholders, public safety subject matter experts, business analysts, and internal data teams to define metrics, KPIs, reporting requirements, and data definitions.
• Translate complex data findings into clear narratives, visuals, and recommendations for technical and non-technical audiences.
• Perform data quality checks, data profiling, reconciliation, and validation to ensure accuracy and reliability of reporting outputs.
• Lead small project teams, coordinate analytical workstreams, assign tasks, monitor progress, and communicate risks, issues, and status to project leadership.
• Mentor junior data analysts by reviewing work products, sharing analytical best practices, supporting skill development, and promoting consistent documentation standards.
• Support user acceptance testing, dashboard validation, defect resolution, and stakeholder feedback cycles.
• Create and maintain documentation, including data dictionaries, business rules, analytical assumptions, data lineage notes, and dashboard user guidance.
• Identify opportunities to improve data processes, dashboard usability, automation, reporting consistency, and analytical efficiency.

Requirements:

• Minimum of 7+ years of experience in data analytics, data science, business intelligence, reporting, data engineering, or a related analytical role.
• Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Computer Science, Statistics, Mathematics, Finance, or an equivalent field.
• At least three years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
• At least three years of writing complex DAX and M-language formulas involving financial data.
• At least five years of experience in finance or accounting.
• Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting).
• Experience automating workflows.
• Hands-on experience extracting data from multiple source systems and developing datasets for dashboarding, reporting, and analysis.
• Strong experience writing and optimizing SQL queries for data extraction, analysis, transformation, and reporting.
• Experience coding or supporting ETL processes, including data cleansing, transformation, validation, and integration.
• Experience developing dashboards and visualizations in Tableau and Power BI.
• Experience with business intelligence tools, data visualization concepts, dashboard design, and reporting best practices.
• Ability to conduct complex data analysis and communicate findings clearly to client leadership and technical teams.
• Experience building ad hoc reports and recurring analytical deliverables for decision support.
• Experience leading small teams or analytical workstreams.
• Strong written and verbal communication skills, including the ability to explain data concepts to non-technical stakeholders.
• Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, client-facing environment.

• Experience within AWS and Azure Cloud environments.
• DOJ and/or Financial background is great, but not required.

Thanks & Regards,

Pradeep Kumar

International Solutions Group, Inc.

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