Sr. Data Scientist / Sr. Analytics Engineer (Remote - US)

Jobgether; United States; Remote; USD 170,000 - 180,000; Full time

Job summary

A leading company is seeking a Sr. Data Scientist / Sr. Analytics Engineer to transform raw data into actionable insights. This role involves data analysis, visualization, and collaboration with stakeholders. Ideal candidates should have strong SQL and Python skills, along with experience in data modeling and visualization tools.

Benefits

Competitive salary of $170,000-$180,000

Fully remote work with flexible scheduling

Comprehensive medical and dental coverage

Unlimited PTO and paid parental leave

Company equity, managed through Carta

401(k) with immediate 100% vesting and employer match

Free estate planning service

In-person company retreats several times per year

Qualifications

• 5+ years of experience in data analytics or engineering.
• Strong proficiency in SQL and Python for data manipulation.

Responsibilities

• Write clean SQL and Python code for data analysis.
• Build and maintain dbt models for data transformation.
• Develop dashboards and visual reports using Looker.

Skills

SQL

Python

Data Visualization

Analytical Thinking

Communication

Education

Bachelor's degree

Master's degree

Tools

dbt

Looker

Tableau

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 Sr. Data Scientist / Sr. Analytics Engineer in the United States.

This role is ideal for a data expert who thrives on transforming raw information into actionable insights and scalable data models. You'll work within a growing Analytics team to support business decision-making through rigorous data analysis, visualization, and transformation. Your work will span ad hoc analysis, data modeling using dbt, and reporting through SQL and visualization tools. You'll collaborate closely with stakeholders across the organization, making complex data accessible and usable for non-technical teams. This is not a machine learning-focused role, but one that requires strong analytical thinking and an engineering mindset for data infrastructure and communication.

Accountabilities:

• Write clean, efficient SQL and Python code to support data analysis and light ELT pipeline development
• Build and maintain dbt models to transform raw warehouse data into usable formats for analysis and reporting
• Conduct exploratory and deep-dive analysis to identify trends, answer business questions, and support strategic decisions
• Develop dashboards, charts, and visual reports using tools like Looker to share findings with stakeholders
• Partner with cross-functional teams to understand data needs and communicate analytical outcomes clearly and concisely
• Support experimentation efforts by analyzing A/B tests to assess performance and recommend improvements
  
  
  

Requirements

• Bachelor's degree with 5+ years (or a Master's with 3+ years) of experience in data analytics, data engineering, or a similar role
• Strong proficiency in SQL and Python for data manipulation and analysis
• Hands-on experience using dbt to model data in a modern data stack
• Advanced knowledge of data visualization tools such as Looker or Tableau
• Demonstrated ability to distill complex data into clear business insights and visualizations
• Strong communication and collaboration skills, especially when working with non-technical stakeholders
  
  
  

Benefits

• Competitive salary of $170,000-$180,000
• Fully remote work with flexible scheduling
• Comprehensive medical and dental coverage
• Unlimited PTO and paid parental leave
• Company equity, managed through Carta
• 401(k) with immediate 100% vesting and employer match
• Free estate planning service
• In-person company retreats several times per year
  
  
  

Jobgether hiring process disclaimer

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!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Non-profit Organizations and Primary and Secondary Education

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