Data Analytics Engineer - (Remote - US)

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

Job summary

An innovative talent matching platform is seeking a Data Analytics Engineer to shape its data function. In this role, you will create and maintain data models, improve data collection processes, and collaborate with cross-functional teams to ensure reliable data for decision-making. Your expertise in SQL and data architecture will be crucial as you advocate for a data-driven culture. Join a dynamic environment that values diversity and offers flexible work options, competitive salaries, and opportunities for growth. If you're passionate about data and want to make an impact, this is the perfect opportunity for you.

Benefits

Competitive salary with stock options

Health benefits

Unlimited PTO

Parental leave

Tuition reimbursements

Flexible work environment

Performance-based bonuses

Equity options

Diversity and inclusion culture

Qualifications

• 6+ years in analytics engineering or data engineering roles.
• Proficient in SQL and data warehousing.

Responsibilities

• Design and maintain data models for business metrics.
• Collaborate with teams to enhance data-driven decision-making.

Skills

SQL

Data Architecture

ETL Processes

Business Intelligence

Project Management

Communication Skills

Education

Bachelor's Degree in a related field

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.

Position: Data Analytics Engineer
Location: 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

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

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:

Mid-Senior level

Employment type:

Full-time

Job function:

Information Technology

Industries:

Non-profit Organizations and Primary and Secondary Education