Home Jobs Data Analyst
Back to Jobs

Data Analyst - Job Opportunity at Leadstack Inc

Remote, US
Contract
Mid-level
Posted: June 25, 2025
Remote
USD 75 per hour

Key Responsibilities

Drive strategic business understanding through advanced quantitative analysis of key performance drivers and market dynamics
Lead product analytics experimentation programs to validate business hypotheses and optimize user experience outcomes
Transform complex statistical findings into actionable business recommendations that directly influence marketplace strategy and user engagement initiatives
Establish collaborative partnerships with engineering teams to implement robust data logging frameworks and monitoring systems that support data-driven decision making
Influence high-level business strategy through strategic collaboration with product managers and business stakeholders on critical initiatives

Requirements

Education

Master's degree in Mathematics, Statistics, Computer Science, Engineering or related field

Experience

3+ years of experience in Data Science or Analytics required (preferably, in consumer facing product role)

Required Skills

Proficiency in SQL A/B testing dashboards familiarity with Python
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The data analytics field is experiencing unprecedented growth driven by digital transformation initiatives across industries, with companies increasingly recognizing data as a critical competitive advantage. Organizations are investing heavily in analytics infrastructure and talent to support real-time decision making and predictive modeling capabilities. Consumer-facing product analytics has become particularly crucial as businesses focus on user experience optimization and personalization at scale. The demand for professionals who can bridge technical analysis with product strategy continues to outpace supply, creating favorable market conditions for experienced analysts. Remote work arrangements have become standard in the analytics field, with companies embracing distributed teams to access top talent regardless of geographic location. This shift has intensified competition for skilled analysts while expanding opportunities for professionals seeking flexible work arrangements.

Salary Evaluation

The hourly rate of $75 represents competitive compensation for a mid-level Data Analyst role, translating to approximately $150,000-$156,000 annually based on standard contract calculations. This rate aligns well with market expectations for professionals with 3+ years of experience in consumer product analytics, particularly for remote contract positions that offer flexibility premium.

Role Significance

Typically operates within a cross-functional team of 5-8 members including product managers, engineers, and business stakeholders, with potential oversight of junior analysts or interns as the team scales.
This mid-level position represents a strategic individual contributor role with significant influence on business decisions and product direction. The role combines technical expertise with business acumen, positioning the analyst as a key bridge between data insights and strategic initiatives.

Key Projects

Implementation of comprehensive A/B testing frameworks to optimize user conversion funnels and product feature adoption rates Development of executive-level dashboards and KPI monitoring systems that track business performance and market trends Analysis of user behavior patterns and marketplace dynamics to inform product roadmap decisions and market expansion strategies Collaboration on data infrastructure projects to improve logging, monitoring, and analytics capabilities across the product ecosystem

Success Factors

Strong ability to translate complex statistical findings into clear, actionable business recommendations that resonate with non-technical stakeholders and drive strategic decision making Proficiency in building and maintaining collaborative relationships across engineering, product, and business teams while managing competing priorities and project timelines Expertise in designing and executing statistically rigorous A/B testing programs that generate reliable insights for product optimization and user experience enhancement Capability to independently manage end-to-end analytics projects from hypothesis formation through implementation monitoring and results communication Adaptability to work effectively in a remote environment while maintaining strong communication and project coordination with distributed team members

Market Demand

High demand driven by digital transformation initiatives and increased focus on data-driven decision making across industries

Important Skills

Critical Skills

SQL proficiency is fundamental for data extraction and analysis across all business intelligence platforms and databases, serving as the foundation for all analytical work and reporting capabilities in modern data environments A/B testing expertise is essential for product optimization and user experience enhancement, requiring statistical knowledge to design valid experiments and interpret results that directly impact business performance and revenue generation Dashboard development skills enable effective communication of insights to stakeholders and establishment of ongoing monitoring systems that support data-driven decision making across the organization

Beneficial Skills

Advanced Python programming skills would significantly enhance analytical capabilities, enabling machine learning applications, automated reporting, and complex statistical modeling that extends beyond basic SQL analysis Experience with cloud-based analytics platforms such as AWS, Google Cloud, or Azure would align with modern data infrastructure trends and expand technical versatility in diverse technology environments Knowledge of advanced statistical methods and predictive modeling techniques would differentiate candidates and support progression toward data science roles with expanded analytical responsibilities

Unique Aspects

The role specifically emphasizes consumer-facing product experience, indicating direct impact on user experience and revenue-generating activities rather than internal operations analytics
Strong focus on collaborative engineering relationships suggests involvement in technical infrastructure decisions and data architecture planning beyond typical analyst responsibilities
The combination of statistical analysis expertise with business strategy influence positions this role as a strategic business partner rather than a pure technical contributor
Contract structure with competitive hourly compensation provides flexibility for both employer and analyst while potentially offering higher total compensation than equivalent full-time positions

Career Growth

Typical progression to senior-level positions occurs within 2-3 years with demonstrated impact on business outcomes and technical skill advancement

Potential Next Roles

Senior Data Analyst with expanded scope including team leadership and strategic planning responsibilities Product Analytics Manager overseeing analytics strategy and team development across multiple product lines Data Science roles focusing on machine learning and predictive modeling applications Business Intelligence Manager responsible for enterprise-wide analytics infrastructure and reporting systems

Company Overview

Leadstack Inc

Leadstack Inc appears to be a technology company with a focus on consumer-facing products, based on their emphasis on marketplace dynamics and user behavior analytics. The company likely operates in the digital services or e-commerce space, requiring sophisticated data analysis capabilities to drive product decisions and market strategy.

As a company actively hiring specialized analytics talent, Leadstack Inc demonstrates commitment to data-driven operations and likely competes in markets where user experience and product optimization are critical success factors.
The fully remote position structure suggests either a distributed company model or expansion beyond a single geographic market, indicating scalability ambitions and modern workforce management approaches.
The emphasis on collaboration across multiple teams and the remote-first approach suggests a modern, flexible work environment that values cross-functional partnership and results-oriented performance measurement.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.