Senior Analytics Engineer - (Remote - US)

Analyticsengineering; United States; Remote; USD 146,000 - 170,000; Full time

Job summary

An innovative company is seeking a Senior Analytics Engineer to transform complex data into actionable insights. In this pivotal role, you'll collaborate with business teams to design and optimize datasets and dashboards, enabling users to access data efficiently. Your expertise in SQL, data modeling, and visualization will drive the creation of scalable data pipelines and support ongoing analytics initiatives. Join a mission-driven workplace that values sustainability and innovation, offering competitive salaries and a flexible remote work environment. If you're passionate about data and ready to make an impact, this opportunity is perfect for you.

Benefits

Competitive Base Salary

Performance-Based Bonus

Full Health Coverage

Flexible Remote Work

Generous Paid Time Off

Career Development Support

Inclusive Workplace

High-Impact Data Projects

Qualifications

• 3-5 years of experience in analytics engineering or data analytics roles.
• Strong SQL skills with proven experience building and maintaining pipelines.

Responsibilities

• Partner with teams to deliver curated datasets and reports.
• Design dashboards that communicate business metrics and trends.
• Build and maintain reliable data pipelines using SQL.

Skills

SQL

Data Modeling

Data Visualization

Analytical Thinking

Problem Solving

Communication Skills

Education

Bachelor's in Computer Science

Bachelor's in Data Science

Tools

Tableau

ETL Tools

Git

JIRA

Job description

About Jobgether

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.

One of our companies is currently looking for a Senior Analytics Engineer in the United States.

In this role, you will work closely with stakeholders across the organization to design, build, and optimize curated datasets and business dashboards that turn complex data into actionable insights. You will play a vital part in streamlining analytics workflows, enabling business users to access data easily and efficiently. This position requires a strong foundation in SQL, data modeling, and visualization, along with a passion for transforming raw data into clear, impactful reporting. As part of a cross-functional analytics team, you will help lead the creation of scalable data pipelines and support ongoing analytics initiatives across departments.

Accountabilities:

• Partner with business teams to understand analytics needs and deliver curated datasets and reports
• Design and implement dashboards that clearly communicate business metrics and trends
• Build and maintain reliable data pipelines and transformation workflows using SQL
• Identify and resolve data issues, supporting ongoing data integrity across platforms
• Educate stakeholders on tools and dashboards, improving access to self-service analytics
• Collaborate with the broader analytics and data engineering teams to ensure consistency and maintainability of data models
• Assist in defining requirements for new data sources and platform enhancements

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related technical field, or equivalent experience
• 3–5 years of experience in analytics engineering, business intelligence, or data analytics roles
• Strong SQL skills with proven experience building and maintaining pipelines
• Proficiency in data visualization tools such as Tableau (or similar)
• Familiarity with ETL tools, Agile development practices, version control (Git), and project tracking (JIRA)
• Excellent communication skills and ability to collaborate with non-technical stakeholders
• Strong analytical thinking and problem-solving mindset
• Bonus: experience with Python or R, and knowledge of data platform best practices

Benefits:

• Competitive base salary ($146,000–$170,000 per year)
• Performance-based bonus opportunities
• Full health coverage: medical, dental, and vision
• Flexible remote work environment
• Generous paid time off and holidays
• Career development support and training resources
• Inclusive, mission-driven workplace focused on sustainability and innovation
• Opportunities to contribute to high-impact data projects at scale

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days. If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!