Data Analytics Engineer - (Remote - US)

Analyticsengineering; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a Data Analytics Engineer to enhance its data function. In this pivotal role, you will design and maintain data models, write optimized SQL for ETL processes, and collaborate with cross-functional teams to drive data-driven decisions. You will also create dashboards and advocate for best practices in data usage. If you thrive in a fast-paced environment and are passionate about transforming data into actionable insights, this opportunity is perfect for you. Join a diverse team that values inclusion and offers a flexible work environment with competitive benefits.

Benefits

Competitive salary with stock options

Health benefits

Unlimited PTO

Parental leave

Tuition reimbursements

Flexible work environment

Performance-based bonuses

Equity options

Culture of diversity and inclusion

Qualifications

• 6+ years in analytics engineering or data engineering roles.
• Proficiency in writing optimized SQL and building ETL pipelines.

Responsibilities

• Design and maintain data models for key business metrics.
• Write optimized SQL for ETL processes and improve reporting workflows.

Skills

SQL

Data Architecture

Data Warehousing

ETL Pipelines

Communication Skills

Project Management

Tools

Tableau

Looker

Sigma

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 Data Analytics Engineer in the United States.

As a Data Analytics Engineer, you will be pivotal in shaping the company’s data function. You will build and maintain data models, improve data collection and reporting processes, and work cross-functionally to ensure reliable, accurate, and up-to-date data is available for decision-making. Your role will involve writing SQL for ETL flows, collaborating with engineering teams to evolve the data stack, and advocating for a data-driven culture throughout the organization. The ideal candidate thrives in a fast-paced environment, enjoys digging into data, and is passionate about creating impactful, actionable insights.

Accountabilities:

• Design, create, and maintain data models that capture key business metrics to inform operational and strategic decisions.
• Write optimized SQL for ETL processes, improving data collection and reporting workflows.
• Collaborate with cross-functional teams to understand data needs and develop solutions to enhance data-driven decision-making.
• Partner with engineering teams to evolve and maintain the data stack, including data warehouse, ETL processes, and BI tools.
• Create and maintain dashboards and visualizations to communicate insights effectively and facilitate informed decision-making.
• Evangelize a data-driven mentality and promote best practices for data usage across the organization.

Minimum Requirements:

• 6+ years of experience in an analytics engineering, data engineering, or business intelligence role.
• Solid experience with data architecture, data warehousing, and building ETL pipelines.
• Proficiency in writing high-performance, legible, and optimized SQL.
• Experience with at least one BI platform (Tableau, Looker, Sigma, etc.).
• Excellent verbal and written communication skills, with the ability to present complex technical information to various stakeholders.
• Strong project management skills and the ability to influence stakeholders across teams and levels.

Benefits:

• Competitive salary with stock options.
• Health benefits, unlimited PTO, parental leave, and tuition reimbursements.
• Flexible work environment with remote options.
• Performance-based bonuses and equity options.
• A culture of diversity and inclusion with opportunities to grow and make an impact.

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!