Data Analyst (Part-Time Contractor)

Stable Kernel • Atlanta, GA

20h • Hybrid

About The Position

As a Data Analyst (DA2) at Stable Kernel, you will play a key role in converting data into insights that inform client and internal product roadmaps. Working with cross-functional teams, you will independently design dashboards, build reporting queries, and translate high-level questions into measurable metrics. Your blend of analytical, communication, and problem-solving skills will help clients evaluate how their products operate and identify opportunities for improvement. Data Analysts report directly to our Principal Data Strategist.

Requirements

• 3-5 years of experience as a data analyst.
• Experience working in a consulting or professional services organization.
• A bachelor’s degree in data analytics, data science, a quantitative/analytical field, or similar.
• Intimate, Working Familiarity With: Familiarity with data warehouses, product analysis, statistical analysis tools and experience with large data sets and has managed their reliability and consistency.
• Experience with implementing and maintaining product analytics tools (such as GA4, Pendo, Amplitude) and strategy.
• Experience with app performance, analysis, app store optimization and A/B testing.
• Experience with data activation tools.
• Experience using SQL and Python.
• Experience with observability and data visualization tools such as Grafana, DataDog, Tableau, Looker or PowerBI.
• Experience using analytics-related tools such as Databricks or Amplitude.
• Familiarity with Microsoft Office Suite.

Nice To Haves

• Ability to effectively test APIs using standard tools such as Postman and curl.
• Experience using agile work management tools such as Jira.

Responsibilities

• Designing and building dashboards and reports that align with business objectives, using advanced features of business intelligence tools (e.g., complex SQL, calculated fields and advanced charting).
• Defining success metrics and measurement plans for new products and features.
• Tracking design and data requirements, suggesting scalable and reusable solutions.
• Monitoring dashboard and data health, investigating anomalies and resolving data quality issues.
• Contributing to documentation updates and maintaining data dictionaries to ensure shared understanding across projects.
• Improving the efficiency or usability of existing reports and solutions by creating reusable queries or components and training junior analysts on tool basics.
• Collaborating with product and engineering to understand technical dependencies and translate business questions into data solutions, sharing insights during cross-functional meetings.
• Translating high-level client or project goals into data questions and metrics; validate that analyses align with these objectives and advise on measurement priorities.
• Providing actionable insights that inform decisions and connect analysis outcomes clearly to business KPIs, suggesting optimizations based on trends or findings.
• Breaking down analysis tasks, providing accurate estimates, and communicating expected effort and trade-offs while factoring in data complexities.
• Building a strong understanding of the client domain and user journeys, incorporating domain nuances into analyses and understanding dependencies with engineering, product and marketing processes.
• Supporting development of reusable dashboards, frameworks and templates, contribute to internal best practices and documentation, and share learnings across projects.
• Coordinating closely with cross-functional teams to understand dependencies and identify data needs or risks early.
• Building trust through reliable delivery and begin advising on analysis prioritization based on business impact.
• Supporting roadmap discussions with data-backed insights, help triage competing requests and propose small enhancements where data can add value.
• Suggesting improvements to existing metrics or frameworks and contributing to proposal or workshop preparation.
• Coordinating analytics tasks within cross-functional pods, clarifying dependencies with product, design and engineering teams.
• Supporting project planning and sprint alignment by providing clear, structured updates in stand-ups and reviews.
• Sharing insights that inform product or marketing decisions, recommending reporting improvements or new analyses and advising on best practices for metrics interpretation.
• Supporting teammates by providing tool and process guidance, proactively communicating risks and mitigation plans, and documenting progress in shared tools.
• Solving moderately complex analysis challenges independently by proposing hypotheses, validating with data and recommending actionable insights.
• Defining scope when details are unclear, suggest initial approaches to move work forward and clarify assumptions in analysis.
• Identifying data or analysis risks and proposing mitigation steps, communicating risks clearly to project teams and escalating blockers or risks appropriately with context.
• Documenting troubleshooting steps before escalation.
• Identifying inefficiencies in workflows within the team and suggesting and implementing process improvements.
• Promoting data quality and consistency by encouraging adherence to standard metrics and definitions and providing guidance to junior analysts on tools and approaches.
• Sharing knowledge in informal training and leading small analytics projects or pods, coordinating task execution and dependencies to ensure alignment on goals.

Benefits

• Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
• 401k with above-average company matching
• Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
• Optional Flexible Spending Account, Dependent Care Flexible Spending Account, and Health Savings Account participation
• Voluntary Life, Critical Illness, and Accident insurance
• EAP and Health Advocacy program available at no cost to employees and their dependents
• $1500-3000 annual industry educational budget
• Paid time off and paid holidays
• Access to Perks at Work program featuring a variety of discounted products and services

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level