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# Analytics Engineer

- **Company:** OpenKyber LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $111,000.0 - $138,700.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, Data Analysis, Data Presentation, Data Structures, Cursor, Web Platforms, Usage Analysis, Scripting, Large Language Models, Agentic-AI, Build Management, Information Technology, Claude, GPT, Data Pipelines
- **Published:** October 7, 2026
- **Apply:** https://www.careerjet.com/jobad/us15831289494e790842d95417b1fd756a

## About the Role

* Advanced SQL querying and data analysis.
 * Experience with business intelligence (BI) tools and dashboard development.
 * Knowledge of experimentation frameworks, A/B testing, and statistical analysis.
 * Requirements gathering and stakeholder management experience.
 * Strong analytical thinking and problem-solving skills.
 * Excellent communication, presentation, and data storytelling abilities.
 * Experience building foundational data structures and dataset models from scratch.
 * Hands-on experience or familiarity with data pipeline automation tools (e.g., Airflow, Composer, or similar).
 * Strong adaptability and proven track record of rapidly learning and transitioning between new tools and domain areas.

Preferred Qualifications:

 * Experience supporting product analytics, customer experience, digital platforms, or AI-related initiatives.
 * Ability to translate business objectives into measurable metrics and analytical frameworks.
 * Experience delivering insights to both technical and non-technical audiences.
 * Experience or interest in leveraging generative AI tools (e.g., Claude, ChatGPT, Cursor) or AI agents for query development, scripting, and dashboard automation.
 * Background in product analytics within digital platforms, e-commerce, or personal finance domains.

Education Bachelor's or Master's degree in a quantitative field such as: Computer Science Statistics Applied Mathematics Econometrics Operations Research Data Science or related discipline
For applications and inquiries, contact:hirings@openkyber.com

## Description

We are seeking a Business Data Analyst to support product, customer experience, and AI-driven initiatives. This role will partner closely with business stakeholders to define key performance metrics, develop reporting and dashboards, conduct deep-dive analyses, and design experiments that drive data-informed decision making.
The ideal candidate combines strong analytical skills with business acumen and can effectively translate complex data insights into actionable recommendations for stakeholders. Key Responsibilities:

 * Define, refine, document, and maintain business metrics and reporting methodologies.
 * Design and execute experiments and A/B tests, including hypothesis creation, success metric definition, test setup, and results analysis.
 * Build, maintain, and optimize dashboards and KPI reporting solutions.
 * Perform ad hoc analyses and deep-dive investigations to answer business questions and identify opportunities.
 * Partner with stakeholders to gather requirements, prioritize requests, and scope analytical projects.
 * Investigate and resolve data discrepancies impacting reporting accuracy.
 * Communicate findings and recommendations through clear presentations and data storytelling.
 * Create and maintain documentation for metrics, reporting logic, and experimentation methodologies.
 * Build Foundational Data Structures: Partner directly with senior data science team members to design and build foundational data structures, tracking models, and reporting pipelines for emerging AI-driven product features (including LLM chat interfaces and conversational tools).
 * Support Core & Emerging Products: Provide flexible analytical support across high-priority surfaces, balancing focus between new AI initiatives and core application user flows (including primary home screen surfaces and key engagement drivers).
 * Adaptable Product Analytics: Serve as a versatile analytical partner across multiple product surfaces to free up capacity for senior data science initiatives, support end-to-end experiment execution, and maintain business-critical KPI reporting.
 * Build foundational dataset tables and data models from scratch for newly launched products and services.
 * Automate data pipelines using workflow orchestration tools (e.g., Airflow / Composer) to streamline reporting and analytics workflows.
 * Conduct midpoint reads and performance tracking on active A/B experiments across AI initiatives and main application screens.
 * Serve as analyst across AI products and core app services.