Join us at Enquo, where we're dedicated to harnessing the transformative power of data and technology. As leaders in technology and data solutions, we prioritize humanity in everything we do. Our mission is clear: to empower organizations to unlock the full potential of their data through cutting-edge technology and exceptional services.

We envision a brighter future, where technology ignites extraordinary achievements and drives profound transformation. Here at Enquo, challenges are opportunities, and our passionate team thrives on making meaningful impacts on society. With humility and a collaborative spirit, we leverage teamwork and creative thinking to deliver optimal and trustworthy solutions.

Asa purpose-driven company, were passionate about using data and technology as catalysts for positive change. Our vision extends to a world where everyone can harness the power of data to reach their fullest potential. At Enquo, honesty, trust, and empathy form the foundation of our simple business language. Were agile, adaptable, and committed to bridging any business need with innovative data solutions.

Join our journey, where curiosity and entrepreneurship drive us to explore uncharted territories and create solutions that truly matter. We foster a collaborative and inclusive environment, valuing every team member's contributions. If you're a talented, curious, and creative individual who thrives in a fast-paced, dynamic setting, we invite you to be part of our mission. Together, let's create new opportunities through data and technology, shaping a more humane future for all.

Enquo: fueling a better future through innovation, data, and technology.

As a Analytics Engineer I, you will play a critical role in enabling the company to be data-driven through the creation of highly-scalable production data pipelines as well as visually appealing and effective data visualizations (e.g., static reports, slice-and-dice dashboards, interactive data apps) that tell compelling stories about the current and projected health of ongoing initiatives and the overall organization. The ideal candidate will have a passion for data, a strong technical background, expertise in data visualization tools and techniques, a keen eye for design, and the desire to create visualizations that communicate complex information in an elegant manner to a variety of audiences.

• Collaborate with business stakeholders to understand their data requirements and develop engaging data visualizations that provide meaningful insight
• Work with data scientists and engineers to integrate data visualizations into existing data pipelines and applications
• Collaborate with UX designers and product managers to ensure a seamless user experience for data consumers
• Develop, maintain, and enhance reports, dashboards, and data apps using Power BI, HEX, Python Streamlit, and other data visualization tools to track key performance metrics
• Write efficient and optimized code (using SQL and dbt) to extract and merge data from various sources and prepare it for analysis
• Survey the state of the relevant statistics in use and the availability of relevant data to reliably build a performance metric that will inform the decision-making process for important business initiatives
• Use aesthetically pleasing data visualization techniques to effectively present complex findings in a clear and concise manner, highlighting key insights and trends
• Implement exception-based functionality to alert stakeholders and refer them to the appropriate data visualization when pre-defined rule-based or statistical-based criteria are met.
• Develop and implement processes to ensure data accuracy and consistency across all visualizations
• Help support design and data visualization and its value within the organization

• Bachelor's degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, Engineering, Information Systems, or related technical field
• Master’s degree preferred or equivalent combination of education and/or experience
• 1 or more years of experience in data visualization, business intelligence, data analysis, data engineering, data science, machine learning, mathematics, statistics, and/or software engineering
• 1 or more years experience in writing SQL and Python
• 1 or more years experience with data visualization tools (e.g., Power BI, HEX, R Shiny, Streamlit)
• Experience with building data pipelines (eg. dbt)
• Experience working with various stakeholders from different backgrounds
• Experience analyzing data, systems, and processes to identify gaps and inconsistencies
• Strong data storytelling skills; able to explain complex data and findings in a clear and concise manner
• Able to multitask, prioritize, and manage time effectively
• Ability to think conceptually, analytically, and creatively; comfortable with ambiguity
• Experience in extracting and analyzing complex data sets
• Familiarity with Streamlit or R Shiny; experience with GitHub or GitLab
• Experience with cloud-based data and analytics environment (e.g., AWS)
• Experience with A/B testing and experimental design is a plus
• Familiarity with data modeling concepts and data warehousing principles is a plus
• Strong attention to detail and ability to work independently or as part of a team
• Excellent problem-solving and critical thinking skills
• Excellent written and verbal communication skills