Data Analyst

Overview
We are a startup founded in 2022 and doing software development outsourcing.As most US agencies, our business is inside the US, and outsource the projects to the worldwide agencies and developers. We mainly work on Upwork and Linkedin and have some resources there. For managing projects, our partners and developers cannot attend the meetings because they handle 2~3 projects, and the English level is not native, So we are looking for a business partner who is in native English and can attend the client meetings.
Goals
Attend the initial client meetings and help our agency to get the new project. (Introduction, Technical Challenges, Culture meeting and …)
Attend the meetings using my team member’s name, not your name.
Attend the ongoing meetings and maintain the projects assigned.
Specifications
This role is a bit tricky and candidates should have in-depth software development experience (more than 7 years) and native English speaking level. The right candidate needs to attend the technical meetings and then answer the technical questions and coding tests by screen sharing. It’s a beneficial position for the candidates who has rich experience in software development since it's a non-code and fun position.

Summary
IMPORTANT — REQUIRED VIDEO SUBMISSION
 
Every applicant MUST submit a 2–3 minute Loom video explaining a software project they have personally worked on.
 
In your video, please explain the project's purpose, your specific role, the technologies involved, and how you approached the technical challenges.
 
Speak naturally, as if you were explaining the project to a potential US client. We want to evaluate your English fluency, technical knowledge, confidence, speaking voice, and ability to communicate without a script.
 
Proposals without a Loom video link will NOT be considered. No exceptions.
 
About Us
 
We are a newly established software development agency focused on securing and delivering software projects for US-based clients.
 
Our team consists of experienced international software developers with strong technical capabilities. However, live English communication during client interviews can sometimes be challenging.
 
We are looking for a technically knowledgeable, confident English speaker who can represent our agency professionally and lead technical conversations with prospective clients.
 
Your main objective is to help us win software development projects by building client confidence through clear, natural, and technically credible communication.
 
Responsibilities
 
Lead live video interviews and technical discussions with prospective US clients.
 
Explain software solutions, technical approaches, architecture, and development processes clearly.
 
Confidently answer spontaneous technical questions.
 
Discuss project requirements, implementation strategies, timelines, and potential challenges.
 
Communicate our development team's capabilities effectively.
 
Ask insightful questions to identify client needs and demonstrate technical understanding.
 
Coordinate with our developers before interviews to understand project-specific details.
 
Help turn technical discussions into successful project engagements.
 
Requirements
 
Native or near-native American English fluency.
 
Strong verbal communication and conversational confidence.
 
A mature, authoritative speaking style. A naturally deep, resonant voice is strongly preferred.
 
Hands-on software development experience or a solid technical background.
 
Familiarity with modern software technologies such as .NET, Python, JavaScript, React, Node.js, APIs, databases, and cloud infrastructure.
 
Ability to discuss unfamiliar technical requirements intelligently.
 
Experience communicating with US clients in technical or consulting environments.
 
Comfortable leading Zoom or Google Meet meetings independently.
 
Availability during US business hours.
 
You do not need to be an expert in every technology. However, you must have enough practical software engineering knowledge to discuss projects intelligently, handle follow-up questions, and communicate technical concepts convincingly.
 
Engagement Details
 
Remote, part-time position.
 
Flexible schedule based on client interview bookings.
 
Compensation based on experience and qualifications.
 
Opportunity for long-term collaboration as our agency grows.
 
How to Apply
 
Step 1 — Mandatory Loom Video (2–3 Minutes)
 
Record yourself explaining a real software development project you personally contributed to.
 
Your video must cover:
 
What the project was and what business problem it solved.
 
Your specific role and responsibilities.
 
The technology stack and technical architecture.
 
One significant technical challenge and how you solved it.
 
The final outcome or results.
 
Please speak naturally and directly to the camera. We are particularly interested in how confidently and clearly you explain technical subjects.
 
Step 2 — Written Proposal
 
Include:
 
Your Loom video link.
 
A brief summary of your technical background.
 
Your experience communicating with US clients.
 
Your availability during US business hours.
 
Final Note
 
We are not looking for a generic salesperson, a scripted presenter, or someone who simply speaks fluent English.
 
We need someone who understands software engineering, communicates with authority, thinks on their feet, and can make US clients feel confident discussing their projects with our agency.
 
Again: A 2–3 minute Loom video is mandatory. Applications without the video will be rejected automatically.

I am Sadr, CEO of Oferli. We are building a high-performance, elite technical team, and I am looking for 5 to 10 dedicated founding technical partners to join me in this mission.
​The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
​What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
​Requirements:
​Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
​Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
​Professionalism: We operate with high standards. Communication and efficiency are key.
​How We Work:
​Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
​Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
​Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
​Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
​Let’s build the future, together.
​Sadr B
CEO, Oferli

About the Role

As a Senior AI Analytics Engineer in our Data Team, you will serve as a key link between Data Engineering, Technology, and Product teams. Your primary responsibilities will involve operationalizing AI/LLM models, developing scalable data transformation pipelines, standardizing data models, and implementing best practices.

In addition to your core duties in analytics engineering, you will also be involved as a technical Business Analyst on certain data projects, collaborating with business units to translate operational needs into clear technical requirements.

Key Responsibilities

Data & AI Architecture: Develop and manage production-quality data models to connect raw data streams with downstream tools and BI, utilizing AI tools for data documentation, writing SQL/Python transformations, handling warehouse dialect conversions, and troubleshooting pipeline errors.

Analytics Engineering: Establish standardized data modeling approaches and build strong semantic layers to deliver clean, reliable data for analytics and reporting downstream.

Business & Requirements Analysis: Lead scoping discussions with various stakeholders to convert business requirements into functional specifications, user stories, and data mapping documents.

Business Logic Translation: Manage the alignment of data definitions across departments, a critical task that requires human intervention.

Data Quality & Governance: Implement automated testing, monitoring, and governance frameworks to ensure high reliability.

Performance Optimization: Enhance query performance, reduce warehouse costs, and streamline pipeline orchestration.

Requirements & Qualifications

Experience: Minimum of 5 years in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI-focused environment.

Technical Mastery: Advanced skills in SQL, proficiency with modern data transformation and orchestration tools such as dbt, Airflow, Prefect, and Dagster, and deep knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery.

AI Technical Stack: Understanding of feature engineering, AI workflow lifecycles, and evaluation metrics, along with experience deploying AI workflows in production settings.

Business Analysis Skills: Ability to collect business requirements, define key metrics, and translate stakeholder needs into structured data assets as needed.

Software Engineering Principles: Strong background in version control using Git, CI/CD practices for data pipelines, and code testing for production environments.

We may utilize artificial intelligence tools for applicant screening, but final hires are based on human evaluation in conjunction with tool insights.

Job Overview

This part-time role requires working Friday to Sunday from 10:00 p.m. to 6:00 a.m. The Global Security Operations Center (GSOC) Agent plays a crucial role in supporting CleanSpark’s enterprise security operations by monitoring in real-time, detecting incidents, and coordinating responses across corporate and operational settings. Positioned at a 24/7 control center, this position involves maintaining awareness of situations, monitoring security technologies, coordinating responses, and ensuring prompt escalation of security events to safeguard CleanSpark’s personnel, assets, and activities.

To excel in this position, individuals must exhibit good judgment, meticulous attention to detail, effective communication skills, and the ability to stay updated on evolving security technologies and operational tools. This role operates on scheduled shifts within a 24/7 environment and involves participation in pre-shift and post-shift briefings to ensure operational consistency.

Key Responsibilities

Monitor various enterprise security systems such as CCTV, access control, alarm monitoring, drone platforms, Blue Force Tracking, OSINT resources, and related security technologies.

Detect, evaluate, prioritize, and escalate security incidents following established procedures and escalation guidelines.

Uphold enterprise-wide situational awareness by observing operational conditions, system alerts, and potential threats.

Act as the central communication hub during security incidents by liaising with on-site personnel, internal stakeholders, and emergency responders.

Dispatch and monitor security resources while documenting incidents and response actions within incident management systems.

Review videos, compile detailed documentation, and assist in security investigations when required.

Conduct regular system assessments and execute responsibilities in compliance with set Standard Operating Procedures (SOPs) and operational playbooks.

Engage in requisite training, maintain proficiency with GSOC technologies and security platforms, and contribute to continuous enhancement efforts.

Attend scheduled pre-shift and post-shift briefings to facilitate effective communication, operational preparedness, and smooth shift handovers.

This position demands professionalism, respect, effective communication, and collaborative teamwork within an inclusive environment.

Required Qualifications

High school diploma or equivalent; an associate’s or bachelor’s degree in related fields like Criminal Justice, Emergency Management, Homeland Security, is preferred.

1–3 years of experience in GSOC, SOC, dispatch, emergency communications, monitoring centers, military, law enforcement, or similar operational settings.

Proficiency in utilizing security technologies like CCTV, access control, alarm monitoring, or similar systems.

Capability to learn and proficiently operate multiple security platforms, monitoring systems, and operational technologies.

Strong analytical, organizational, and communication competencies.

Ability to maintain composure, apply sound judgment, and handle multiple priorities in a fast-paced environment.

Flexibility to work designated shifts, which may include nights, weekends, holidays, and overtime as necessary.

The compensation for this role is $26 - $28 per hour. The responsibilities may involve tasks that necessitate using a company vehicle or traveling between job sites. Candidates must meet the insurability criteria under CleanSpark's vehicle insurance policy.

CleanSpark upholds Equal Opportunity Employment principles. It offers equal employment opportunities, prohibits discrimination or harassment based on various characteristics, and aligns its policies with federal, state, and local laws governing employment terms and conditions.

The hiring process at CleanSpark may involve the use of Artificial Intelligence (AI) tools for tasks like application review, resume analysis, and response assessment. These AI tools support the recruitment process but do not supplant human judgment. Final hiring decisions are made by humans. For more information on the data processing procedures, applicants may reach out to CleanSpark for clarification.