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Data Analyst (Remote) - Job Opportunity at Elder Research

Remote, US
Full-time
Mid-level
Posted: May 25, 2025
Remote
USD 85,000 - 110,000 per year based on mid-level experience requirements, government contractor context, security clearance requirements, and remote work arrangement. The National Capital Region preference and security clearance requirement typically command 15-25% premium over standard data analyst positions.

Benefits

Enhanced career stability through long-term employment approach rather than contract-based hiring, providing superior job security compared to typical government contractors
Flexible paid time off policies with extremely flexible time off arrangements that prioritize work-life balance over rigid vacation structures
Annual equity participation through company stock ownership program based on company value and profits, offering direct financial stake in organizational success
Professional development opportunities through weekly company-wide "Tech Talk" sessions and continuous learning culture
Comprehensive work-life balance package including reasonable hours, low travel requirements, and supportive parental and bereavement policies

Key Responsibilities

Lead comprehensive data mining operations, data preparation workflows, and strategic reporting initiatives that directly impact U.S. Customs and Border Protection's national security mission
Design and execute high-level analyses, studies, and needs assessments that inform critical government decision-making processes and policy development
Serve as quality assurance authority for data accuracy, recommendation validity, and solution viability, ensuring mission-critical applications meet government standards
Develop executive-level documentation and solution recommendations that directly address complex customer challenges and operational inefficiencies
Architect and implement big data solutions, deploy advanced data models, and provide enterprise-level database support for custom client applications
Function as key technical leader within cross-functional data science project teams, enabling advanced analytics capabilities and supporting strategic consultant deliverables

Requirements

Education

Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline

Experience

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least two (2) years of experience applied data science research or big data analytics

Required Skills

Knowledge of data mining methods, databases, data visualization and machine learning Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA) Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs Ability to communicate analysis techniques, concepts, and products Ability to develop data-driven analysis and reports based on data visualizations and data models Strong SQL skills, and ability to identify issues with data Experience with Qlik Experience with Tableau Experience with PowerBI tools Familiarity with Databricks or similar cloud-based distributed database technologies Understanding of database and database design Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data Demonstrated experience within an AWS environment Familiarity with industry best-practices for software-hardware optimization when processing large sets of data Ability to travel to and work on site at clients as needed Excellent communication skills both verbal and written

Certifications

TS or CBP BI or DHS Suitability (clearance adjudicated within the past 4 years) AWS certifications preferred
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Sauge AI Market Intelligence

Industry Trends

Government data analytics is experiencing unprecedented growth driven by federal digital transformation initiatives and increasing emphasis on data-driven policy making. The Biden administration's focus on modernizing government technology infrastructure has created sustained demand for experienced data professionals with security clearances. The integration of artificial intelligence and machine learning into government operations, particularly in border security and customs enforcement, represents a major shift toward predictive analytics and automated threat detection systems. This trend is creating specialized roles that combine traditional data analysis with advanced AI implementation. Cloud migration initiatives across federal agencies are driving demand for professionals with AWS and cloud-based analytics experience. The FedRAMP certification process and government cloud adoption are reshaping how federal contractors approach data infrastructure and analytics delivery.

Role Significance

Likely part of 5-8 person project teams typical of government consulting engagements, with this role serving as a key technical contributor supporting 1-2 senior data scientists and collaborating with 2-3 peer-level analysts.
Mid-level individual contributor role with significant technical responsibility and client-facing elements. The position combines hands-on analytics work with strategic consulting responsibilities, indicating a bridge role between junior analyst and senior consultant levels.

Key Projects

Development and maintenance of large-scale border security analytics platforms processing millions of daily transactions and traveler records Implementation of anomaly detection systems for identifying potential security threats, contraband smuggling patterns, and irregular border crossing behaviors Creation of executive dashboard and reporting systems for CBP leadership providing real-time operational intelligence and trend analysis Design and deployment of machine learning models for risk assessment, resource allocation optimization, and predictive analytics supporting border security operations

Success Factors

Technical versatility across multiple analytics platforms (Qlik, Tableau, PowerBI) combined with cloud infrastructure expertise will be critical for adapting to diverse client requirements and evolving government technology standards. Strong communication skills for translating complex technical findings into actionable intelligence for government stakeholders who may lack technical backgrounds but require clear, defensible recommendations for policy and operational decisions. Ability to work within government security protocols while maintaining analytical rigor and innovation, balancing compliance requirements with the need to deliver cutting-edge analytics solutions. Project management capabilities for handling multiple concurrent client engagements while maintaining quality standards and meeting government delivery timelines and documentation requirements.

Market Demand

High demand driven by federal modernization initiatives, security clearance requirements creating supply constraints, and increasing government investment in data-driven decision making capabilities.

Important Skills

Critical Skills

Security clearance eligibility and maintenance represents the most critical differentiator, as this requirement eliminates the majority of potential candidates and provides long-term career protection within the government consulting market. SQL and database management skills form the foundation for all other analytics work, particularly in government environments where data quality issues and legacy system integration present constant challenges requiring deep database expertise. Multiple business intelligence platform experience (Qlik, Tableau, PowerBI) provides essential client adaptability, as government agencies often have established tool preferences and switching costs make platform flexibility crucial for consultant success. AWS cloud experience aligns with federal cloud-first policies and FedRAMP requirements, making cloud expertise essential for future-proofing career development in government analytics.

Beneficial Skills

Natural Language Processing and Large Language Model experience positions candidates for emerging government AI initiatives and provides competitive advantage as agencies explore automated document processing and intelligence analysis capabilities. Time-series analysis and forecasting skills directly support predictive analytics initiatives that are increasingly important for resource planning, threat assessment, and operational optimization within government agencies. Geospatial analytics expertise complements border security applications and provides valuable specialization for homeland security, defense, and transportation analytics projects that often have significant geographic components.

Unique Aspects

Security clearance requirement creates significant barrier to entry and provides long-term career security within the government contracting space, as cleared professionals maintain premium market value
Direct support to U.S. Customs and Border Protection offers exposure to cutting-edge border security technology and national security applications of data science
Employee stock ownership program unusual in government consulting space, providing direct financial incentive aligned with company growth and success
30-year company history in data mining predating the current analytics boom, suggesting deep institutional knowledge and established methodologies
Remote work arrangement in government consulting context is relatively rare and provides significant lifestyle advantage over traditional on-site government contractor positions

Career Growth

Typical progression to senior roles within 2-3 years given the specialized nature of government consulting and security clearance advantages. Leadership roles typically achievable within 4-5 years with strong performance and continued clearance maintenance.

Potential Next Roles

Senior Data Scientist positions within government consulting focusing on advanced machine learning and AI implementation Principal Analytics Consultant roles involving client relationship management and technical solution architecture Government Program Manager positions overseeing large-scale analytics initiatives and multi-contractor teams Technical Director roles within federal consulting firms specializing in data science and analytics delivery

Company Overview

Elder Research

Elder Research represents a mature, specialized analytics consulting firm with nearly three decades of experience in predictive analytics and data mining. The company has established itself as a niche player in government consulting while maintaining a boutique approach that emphasizes employee development and long-term career growth rather than rapid scaling.

Positioned as a premium specialized provider in the government analytics space, competing with larger firms like Booz Allen Hamilton and CACI but differentiating through deep technical expertise, employee ownership culture, and focus on data science innovation rather than broad IT services.
Strong presence in the National Capital Region with established government client relationships, particularly in homeland security and border protection analytics. The company's 30-year history suggests stable government contract relationships and repeat client engagement.
Employee-centric culture emphasizing work-life balance, continuous learning, and technical excellence. The stock ownership program and focus on career development rather than contract-based employment suggests a culture that prioritizes employee retention and long-term relationship building over short-term profit maximization.
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