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Data Analyst - Job Opportunity at Progressive Technology Solutions

Vienna, United States
Full-time
Mid-level
Posted: June 4, 2025
Hybrid
USD 133,120 - 141,440 per year

Benefits

Flexible hybrid work arrangement providing optimal work-life balance while maintaining collaborative opportunities
Competitive hourly compensation structure offering potential for higher earnings than traditional salary positions
Full-time contract position providing stability with potential for conversion to permanent employment
Access to cutting-edge data science tools and technologies enhancing professional development

Key Responsibilities

Drive organizational transformation by performing independent data analysis that directly influences mission-critical strategic decisions across all business units
Architect and deploy advanced predictive models and algorithms that provide competitive advantage through data-driven forecasting and optimization
Uncover hidden business opportunities by identifying complex trends and patterns in large-scale datasets that reveal actionable market insights
Deliver executive-level intelligence through sophisticated descriptive, predictive, and prescriptive analytics that shape corporate strategy
Empower C-suite decision-making through compelling data visualizations using enterprise-grade tools like Power BI and Tableau
Lead scientific approach to business problem-solving by designing and executing hypothesis testing with clear, persuasive presentation of findings
Streamline organizational efficiency by developing automated analytical workflows and moderately complex programming solutions
Foster cross-functional innovation by building strategic relationships with stakeholders and driving collaborative data initiatives
Champion ethical AI practices while establishing industry best practices for responsible data usage and model development
Spearhead project leadership in data initiatives while translating complex business challenges into scalable data-driven solutions

Requirements

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field

Experience

3–5 years of experience in data analysis, statistical modeling, or business intelligence

Required Skills

Strong proficiency in Excel and at least one data visualization tool (Power BI, Tableau, etc.) Proficiency in SQL, and working knowledge of programming languages such as Python, R, or SAS Understanding of data modeling, simulation, and predictive analytics Ability to develop models through full lifecycle: exploration, development, testing, and deployment Excellent communication skills, with the ability to simplify technical concepts for non-technical stakeholders Strong attention to detail, critical thinking, and problem-solving skills Solid grasp of statistics and analytical methodologies A collaborative, proactive mindset with the ability to work independently
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Sauge AI Market Intelligence

Industry Trends

The data analytics field is experiencing unprecedented growth driven by digital transformation initiatives across all industries, with organizations increasingly recognizing data as their most valuable strategic asset. Companies are moving beyond basic reporting to advanced predictive analytics and machine learning applications, creating substantial demand for analysts who can bridge technical capabilities with business strategy. Hybrid work models have become the new standard in data analytics roles, reflecting the industry's recognition that analytical work benefits from both collaborative innovation and focused independent work. This trend is particularly strong in the Washington D.C. metro area where government contractors and technology firms are competing for top talent by offering flexible work arrangements. The integration of AI and machine learning into traditional data analysis roles is accelerating rapidly, with employers expecting analysts to understand not just descriptive analytics but also predictive modeling and algorithmic development. This shift is creating a premium market for professionals who can work across the entire data science spectrum rather than being limited to traditional reporting functions.

Salary Evaluation

The offered compensation of $133,120-$141,440 annually is highly competitive for the Washington D.C. metro market, positioning in the 75th-85th percentile for mid-level data analyst roles. This premium reflects both the high cost of living in the Vienna, VA area and the advanced skill requirements including machine learning and predictive modeling capabilities.

Role Significance

Typically operates within a 4-8 person data science or analytics team, with this role likely serving as a senior contributor who mentors junior analysts while reporting to a data science manager or director of analytics.
This role represents a senior mid-level position with significant autonomous decision-making authority and strategic impact. The emphasis on independent analysis, stakeholder relationship building, and project leadership indicates this is a role designed for someone ready to transition toward senior analyst or data science manager positions within 18-24 months.

Key Projects

Development and deployment of customer segmentation models for targeted marketing campaigns Creation of predictive maintenance algorithms for operational efficiency optimization Design of financial forecasting models for budget planning and resource allocation Implementation of real-time dashboard systems for executive performance monitoring Leading cross-departmental data integration projects to establish single source of truth reporting

Success Factors

Ability to translate complex statistical findings into compelling business narratives that drive executive action, requiring both technical depth and exceptional communication skills that can influence decision-makers at all organizational levels. Mastery of the complete model development lifecycle from initial data exploration through production deployment, including the critical skills of model validation, performance monitoring, and iterative improvement based on business feedback. Strong project management capabilities combined with stakeholder relationship management skills, as success in this role depends heavily on the ability to coordinate cross-functional initiatives while maintaining trust and credibility across diverse business units. Ethical leadership in AI and data practices, positioning oneself as a trusted advisor who can navigate the increasing regulatory and reputational risks associated with algorithmic decision-making in business applications.

Market Demand

Exceptionally high demand exists for this role profile, with data analyst positions in the D.C. metro area typically receiving 200-300% more applications than average due to the concentration of government contractors, consulting firms, and technology companies requiring advanced analytical capabilities.

Important Skills

Critical Skills

SQL proficiency serves as the foundational skill enabling all data extraction and manipulation activities, with advanced SQL capabilities including window functions, CTEs, and performance optimization being essential for handling the large-scale datasets typical in enterprise environments. Python or R programming skills are absolutely essential for implementing machine learning models and automated analytical workflows, with Python being particularly valuable due to its extensive libraries for data science and its adoption as the standard in most enterprise environments. Data visualization expertise using tools like Tableau or Power BI is critical for translating analytical insights into executive-level presentations that drive strategic decision-making, requiring both technical proficiency and design sensibility to create compelling visual narratives. Statistical methodology knowledge forms the theoretical foundation for all analytical work, ensuring that insights are scientifically valid and that model assumptions are properly validated, which is particularly important in regulated or high-stakes business environments.

Beneficial Skills

Cloud platform experience with AWS, Azure, or GCP provides significant competitive advantage as organizations increasingly migrate analytical workloads to cloud environments for scalability and cost efficiency, with cloud skills commanding premium compensation in the current market. Big Data technologies like Hadoop or Spark become increasingly valuable as organizations deal with growing data volumes and velocity, positioning professionals for roles in large-scale data processing and real-time analytics applications. Project management capabilities and experience leading small initiatives demonstrate leadership potential and prepare professionals for advancement to senior individual contributor or management roles within data science organizations. Technical writing and documentation skills are increasingly valuable as organizations recognize the importance of knowledge transfer and model explainability for regulatory compliance and operational sustainability.

Unique Aspects

The role explicitly emphasizes ethical AI frameworks and responsible model development, indicating the client organization is forward-thinking about AI governance and regulatory compliance, which is increasingly critical in government contracting and regulated industries.
Strong emphasis on data storytelling and executive-level communication suggests this position involves regular interaction with C-suite executives, providing exceptional visibility and career development opportunities not typically available in junior analytical roles.
The combination of traditional business intelligence skills with advanced machine learning capabilities creates a hybrid role that bridges multiple disciplines, offering comprehensive professional development across the full spectrum of data science applications.
Location in Vienna, VA positions this role within one of the nation's highest-concentration technology corridors, providing extensive networking opportunities and exposure to cutting-edge projects across government, defense, and commercial sectors.

Career Growth

Advancement to senior individual contributor roles typically occurs within 2-3 years, while transition to management positions generally requires 3-5 years of demonstrated leadership and project success in similar environments.

Potential Next Roles

Senior Data Scientist with focus on advanced machine learning and AI model development Data Science Manager leading a team of analysts and scientists across multiple business units Business Intelligence Director overseeing enterprise-wide analytics strategy and implementation Principal Data Analyst specializing in specific industry verticals or advanced analytical techniques

Company Overview

Progressive Technology Solutions

Progressive Technology Solutions operates as a specialized staffing and consulting firm focused on placing high-caliber technology professionals in contract and permanent positions with established enterprises and government contractors in the greater Washington D.C. area.

Positioned as a mid-tier technology staffing firm with strong relationships in the government contracting space, competing effectively against larger national firms by offering personalized service and deep local market knowledge in the high-demand D.C. technology corridor.
Strong regional presence in the Washington D.C. metro area with particular expertise in placing professionals in defense contracting, federal consulting, and technology services roles that require security clearances or government sector experience.
Emphasizes professional development and career advancement for placed candidates, with a collaborative approach that balances consultant autonomy with client service excellence, typical of boutique consulting environments.
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