Data Engineer

Job Summary.

Join our team and shape the future.

Leverage data-driven insights.

Collaborate w/ talented professionals.

Demonstrate SQL, Python, analytics skills.

Job Description company Overview : .

Outsourced is a premium ISO-certified offshore staffing company that leverages global talent and cutting-edge technology in helping businesses thrive.

We offer dedicated offshore teams and experts that seamlessly integrate in the business, providing the expertise and resources our clients need to maximize ROI while maintaining the highest standards of quality and security.

Responsibilities.

Establish a deep understanding of clients customer base (supply and demand) and proactively identify opportunities for product changes/experiments based on analysis.

Influence product strategy and investment decisions with data, be focused on impact, by collaborating with Product, Marketing, Engineering and Design teams.

Use SQL to develop data pipelines, write complex queries, and perform analysis.

Break down nuanced, complex data for partners, keeping context at the forefront of communication.

Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.

Define and monitor key metrics; investigate changes in metrics and propose next steps.

Explore clients data and highlight key insights to feed product development.

Foster a data-driven, test-and-learn culture with your passion for telling stories with data.

Requirements.

Team Player and Problem Solver.

Value an empathic and kind team.

5+ years professional experience in a product, growth or data analytics role.

Expert fluency in SQL-based data manipulation.

Experience building aggregates and optimizing data workstreams.

Experience with Excel and some dash-boarding/data visualization tools (i e Mode, Tableau, Mixpanel or similar).

Familiarity with some web analytics tools (i e Google Analytics or similar).

Experience accessing and manipulating database data using Python preferred.

Bachelors degree in statistics, computer science, business analytics, or a related field.

An advanced degree in a relevant field is a plus.

Hardworking, personable, organized, excellent communicator, critical problem solver.

Ability to work cross-functionally, deal with ambiguity and adopt well to a fast-paced working environment.

Professional, positive, upbeat attitude and a strong desire to learn.

What We Offer : competitive salary.

Performance Incentives.

HMO/Health Benefit.

Flexible schedules.

Exciting and impactful projects.

Collaborative and inclusive work culture.

Professional growth and development opportunities.

Flexible Work Arrangements (Remote and Hybrid).

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