Analytics Engineer

As an Analytics Engineer at US Mobile, your responsibilities include designing and developing data structures for deeper analysis, working closely with engineering teams, and building visually impactful reports and dashboards using tools like Tableau. You'll also optimize data models to support self-serve analytics and ensure data integrity, while collaborating with stakeholders to uncover meaningful insights.

To apply for the Analytics Engineer position at US Mobile, you should have at least 4 years of professional experience in data science, analytics, or data engineering. A strong understanding of data architecture, ETL/ELT processes, and proficiency in SQL are essential. Familiarity with data orchestration tools and experience in a fast-paced startup environment are also necessary.

At US Mobile, we value continuous learning and career growth. As an Analytics Engineer, you will have access to a range of professional development opportunities, including hands-on projects, mentorship from experienced engineers, and the chance to influence important company decisions. We believe in investing in our employees to foster a dynamic and innovative work environment.

In your role as an Analytics Engineer at US Mobile, you will utilize several tools and technologies, including data orchestration tools like Airflow, data modeling frameworks like dbt, and business intelligence tools such as Tableau and Looker. Your proficiency in Python for data processing and analysis will also be vital in building scalable solutions.

The company culture at US Mobile is dynamic, diverse, and innovative. We celebrate employee backgrounds from over 20 countries and promote a collaborative environment. As an Analytics Engineer, you’ll be part of a recognized team by Forbes as one of the top 500 best startup employers, where your input is valued, and fun is encouraged while tackling complex challenges.

When answering this question, highlight specific projects where you designed and implemented data pipelines. Discuss the tools and technologies used, the challenges faced, and the outcomes achieved. Emphasize your understanding of workflows and best practices in data engineering.

In your response, outline your methodology for data modeling, including how you assess requirements, design schemas, and validate data integrity. Mention any frameworks you prefer and how you ensure that your models support self-service analytics effectively.

Discuss your strategies for maintaining data integrity, such as implementing automated testing, validation checks, and documentation practices. Provide examples of how you’ve identified and resolved data quality issues in previous projects.

Choose a project that showcases your problem-solving skills. Describe the challenge, the steps you took to resolve it, the technologies you used, and the impact it had on the business or stakeholders. Be specific about your contributions.

Explain your methods for prioritizing tasks based on deadlines and business needs. You might discuss using project management tools, setting clear goals, or collaborating with teams to establish priorities. Highlight your adaptability to changing requirements.

When answering, mention the visualization tools you're proficient in, such as Tableau, Looker, or others. Provide examples of how you've used these tools to create impactful reports that communicate insights effectively, and how you consider user experience.

Describe your communication strategy with business stakeholders, including how you gather requirements, present findings, and ensure alignment on objectives. Provide examples of successful collaborations and how they impacted decision-making.

Discuss your experience with automating repetitive tasks and workflows, explaining how this has improved efficiency and data accuracy. Highlight specific automation tools you've used and the benefits derived from automating data processes.

Describe your openness to constructive feedback. Explain how you incorporate it into your work to improve future analyses, showcase your willingness to learn, and how you maintain communication with stakeholders throughout the feedback process.

Tailor your response to reflect your passion for connectivity and analytics. Discuss how US Mobile's innovative approach and culture align with your career goals. Share your enthusiasm for contributing to a fast-growing company and how your skills can impact its mission.