Data Analyst (Remote - US) - job 1 of 11

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in the United States.

This role offers the opportunity to join a dynamic data science team focused on delivering actionable insights through advanced analytics and machine learning. The ideal candidate will work on projects that combine technical rigor with real-world impact, contributing to meaningful outcomes for stakeholders across multiple domains. You will work closely with cross-functional teams to collect, clean, and analyze complex datasets, leveraging modern data platforms and tools. Success in this position requires a balance of programming expertise, problem-solving ability, and strong communication skills to translate technical findings into clear, actionable recommendations. The role encourages creativity while maintaining robust, maintainable solutions and offers a supportive environment for professional growth. You will also have the opportunity to explore emerging AI technologies and NLP techniques to advance analytical capabilities.

Accountabilities:

• Collect, clean, and analyze data using Python, SQL, and related tools, ensuring data quality and accuracy.
• Work with large-scale data platforms such as Databricks, Snowflake, and AWS to support analytical pipelines.
• Apply natural language processing (NLP) techniques and machine learning methods to generate insights.
• Translate complex data findings into clear, actionable recommendations for technical and non-technical audiences.
• Collaborate across teams to gather requirements, define solutions, and communicate results effectively.
• Document workflows, follow software engineering standards, and maintain version control using Git.
• Explore and implement emerging AI technologies, including generative AI, LLMs, and entity recognition methods.
• Manage project timelines from intake to delivery, balancing multiple priorities and iterative feedback.

• 2–3 years of experience in data analysis or data science, with a focus on NLP or related techniques.
• Proficiency in Python and SQL; experience with PySpark and DBT is a strong plus.
• Familiarity with Databricks, Snowflake, and AWS ecosystems.
• Experience with object-oriented programming, data normalization using ontologies or taxonomies, and machine learning workflows.
• Strong problem-solving skills, creativity, and the ability to implement maintainable solutions.
• Excellent communication and stakeholder engagement skills, including presenting findings to technical and non-technical audiences.
• Ability to adapt to variable project timelines and collaborate effectively across teams.
• Time management and organizational skills to oversee projects from requirements gathering to presentation.

• Competitive salary: $53,300 – $76,200, dependent on skills, experience, and location.
• 401(k) savings plan with company match.
• Paid time off, holidays, and various leaves (maternity, parental, military).
• Health, dental, and vision benefits.
• Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).
• Life and disability insurance.
• Identity theft protection and pet insurance.
• Potential eligibility for a short-term incentive plan depending on position.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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