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Data Analyst I (Contingent) - Job Opportunity at Amazon

Boston, US
Contract
Entry-level
Posted: June 21, 2025
On-site
USD 40-43 per hour

Benefits

Equal opportunity employment with comprehensive anti-discrimination protections covering all legally protected classes
Contract flexibility allowing for specialized project focus without long-term organizational constraints
Exposure to Amazon's advanced operational systems and strategic decision-making processes

Key Responsibilities

Drive strategic capacity planning decisions through comprehensive economic, financial, and market analysis that directly impacts Amazon's operational efficiency and investment allocation
Lead enterprise-level forecasting and budgeting initiatives for operating expenses and capital allocation, influencing multi-million dollar resource decisions
Architect and deploy scalable business intelligence systems and analytical tools that support rapidly evolving business requirements across multiple Amazon divisions
Develop and maintain mission-critical performance dashboards for CAR tracking and cross-functional reporting that enable data-driven decision making at the executive level
Support high-stakes strategic business reviews including XPPR and OHR mechanisms while maintaining internal operational tools that drive organizational efficiency
Design and implement automated workflow solutions for business reporting that reduce manual effort and increase accuracy of strategic business insights
Ensure alignment between planning initiatives and operational data to maintain accuracy and timeliness of business-critical support functions

Requirements

Education

Bachelor's degree in business, finance, engineering, or a related field

Experience

0–3 years of experience in capacity planning or a related field

Required Skills

Strong data analytics capabilities with experience in financial modelling and variance analysis Program management skills with the ability to manage multiple projects and priorities Proficiency in MS Excel; knowledge of SQL and Python is a strong plus Excellent written and verbal communication skills Ability to work independently and adapt to a continuously changing environment
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Sauge AI Market Intelligence

Industry Trends

The data analytics field is experiencing unprecedented growth driven by digital transformation initiatives, with organizations increasingly relying on data-driven decision making for competitive advantage. Cloud computing giants like Amazon are leading this transformation by integrating advanced analytics into every aspect of their operations, creating substantial demand for professionals who can bridge business strategy and technical implementation. Financial modeling and capacity planning roles are becoming increasingly sophisticated as companies adopt predictive analytics and machine learning technologies. The integration of traditional financial analysis with modern data science tools is creating hybrid roles that require both quantitative skills and business acumen, particularly in high-growth technology companies. The contract and contingent workforce market in data analytics has expanded significantly, with companies preferring flexible staffing models for specialized projects. This trend allows organizations to access top-tier analytical talent while maintaining operational agility, particularly beneficial for roles requiring specific technical expertise in rapidly evolving business environments.

Salary Evaluation

The hourly rate of $40-43 represents a competitive entry-level compensation package for the Boston market, translating to approximately $83,200-$89,440 annually for full-time equivalent work. This rate aligns well with industry standards for contract data analyst positions at major technology companies, offering premium compensation compared to permanent entry-level roles which typically range from $65,000-$75,000 annually in the Boston area.

Role Significance

Typically operates within a team of 5-8 analytical professionals, reporting to senior analysts or managers while potentially supervising junior analysts or interns. The role serves as a key contributor to cross-functional teams involving operations, finance, and strategy departments.
This is a foundational professional role with significant strategic impact despite the entry-level classification. The position provides direct input into Amazon's capacity planning and financial decision-making processes, offering substantial responsibility and visibility typically reserved for more senior positions in smaller organizations.

Key Projects

Development and maintenance of enterprise-wide capacity planning models that inform multi-million dollar infrastructure investments Creation of automated reporting systems that provide real-time operational insights to executive leadership teams Implementation of variance analysis frameworks that identify operational inefficiencies and cost optimization opportunities Design of predictive models for resource allocation across multiple business units and geographical regions

Success Factors

Mastery of advanced Excel functions and financial modeling techniques, with progressive development of SQL and Python skills to handle increasingly complex analytical challenges Strong business acumen combined with technical proficiency to translate complex analytical findings into actionable business recommendations for diverse stakeholders Exceptional project management capabilities to handle multiple concurrent initiatives while maintaining accuracy and meeting tight deadlines in a fast-paced environment Effective communication skills to present analytical insights to both technical and non-technical audiences, including senior leadership and cross-functional teams Adaptability and continuous learning mindset to keep pace with Amazon's rapidly evolving business requirements and technological innovations

Market Demand

High demand driven by Amazon's continued expansion and the critical nature of capacity planning in e-commerce operations. The specialized combination of financial modeling, data analytics, and program management skills creates strong market positioning for candidates, with limited supply of professionals possessing this hybrid skill set.

Important Skills

Critical Skills

Financial modeling expertise is absolutely essential as this role directly supports capacity planning and investment decisions worth millions of dollars. The ability to create accurate, scalable models that can adapt to changing business conditions is fundamental to success in this position. Advanced Excel proficiency serves as the foundation for most analytical work, with complex functions, pivot tables, and data manipulation capabilities being used daily. This skill directly impacts productivity and the ability to handle sophisticated analytical challenges. Program management capabilities are crucial for managing multiple concurrent projects while maintaining quality and meeting deadlines. The fast-paced Amazon environment requires exceptional organizational skills and the ability to prioritize competing demands effectively.

Beneficial Skills

SQL and Python programming skills represent the future of data analytics and will significantly enhance career advancement opportunities. These technical skills enable more sophisticated analysis and automation of routine tasks. Experience with business intelligence tools and dashboard development will become increasingly valuable as organizations continue to invest in self-service analytics and real-time reporting capabilities. Understanding of operations research and optimization techniques will differentiate candidates as businesses seek to maximize efficiency and minimize costs through advanced analytical methods.

Unique Aspects

Direct exposure to Amazon's legendary operational excellence methodologies and data-driven culture, providing invaluable experience in world-class business operations
Opportunity to work with proprietary analytical tools and systems that are at the forefront of industry innovation, including advanced forecasting and capacity planning technologies
Contract structure through Allegis Global Solutions provides flexibility while maintaining access to Amazon's resources and strategic initiatives
Integration with high-stakes strategic business reviews and executive-level decision-making processes typically reserved for more senior positions
Access to Amazon's vast operational data and complex business challenges that span multiple industries and geographical markets

Career Growth

Progression to mid-level roles typically occurs within 18-24 months given the accelerated learning environment and high-impact project exposure at Amazon. Senior-level positions become accessible within 3-4 years with demonstrated performance and continued skill development.

Potential Next Roles

Senior Data Analyst positions with expanded analytical responsibilities and team leadership components Business Intelligence Manager roles overseeing analytical teams and strategic reporting initiatives Financial Planning and Analysis Manager positions focusing on corporate finance and strategic planning Operations Research Analyst roles developing optimization models for complex business problems Product Manager positions leveraging analytical background to drive data-driven product decisions

Company Overview

Amazon

Amazon represents the global leader in e-commerce and cloud computing services, with annual revenues exceeding $500 billion and operations spanning virtually every major market worldwide. The company's commitment to data-driven decision making and operational excellence creates an environment where analytical professionals can access cutting-edge tools, methodologies, and business challenges at unprecedented scale.

As the world's largest e-commerce platform and a dominant force in cloud computing through AWS, Amazon maintains a commanding market position that provides unparalleled career development opportunities. The company's continuous innovation and expansion into new markets creates sustained demand for analytical talent across diverse business units.
Boston serves as a significant technology hub for Amazon, housing teams focused on advanced analytics, machine learning, and strategic operations. The city's proximity to world-class universities and established technology ecosystem provides access to top-tier talent and innovative business practices.
Amazon's culture emphasizes high performance, customer obsession, and long-term thinking, creating an environment where analytical professionals are expected to deliver measurable business impact. The company's leadership principles foster ownership, innovation, and continuous improvement, providing substantial professional development opportunities for ambitious individuals.
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