Senior Data Analyst

Company: Get ResQ Ltd
Location: Denver
Posted on: November 1, 2024

Job Description:

ResQ was founded with the belief that restaurant operators and service providers should have a much better way to operate their businesses. As a first step towards our mission, we have built a SaaS-enabled marketplace that helps fast-growing restaurants manage their repairs and maintenance, empowering them to focus on their customers.Repair and maintenance is the heartbeat of any restaurant's operations, yet the existing management methods are complex, expensive, and time-consuming. With ResQ, restaurants can simply get connected to qualified service providers, submit jobs, track progress, and pay, all in one place.We are trusted by the world's leading restaurant brands and are venture-backed by top-tier global VCs - and we are just getting started!Hello Future ResQer!ResQ is looking for a Senior Data Analyst to join our Engineering team and help us take ResQ to the next level.As a Senior Data Analyst joining ResQ, you will play a pivotal role in driving the strategic direction of our product line. You'll generate insights to guide product development, optimize user experiences, and ensure alignment with business objectives. Your expertise will be crucial in guiding the product development organization to collect data for analysis and experimentation.What you will do:

• Data Analysis & Insights: Conduct in-depth analysis of product performance metrics, user behaviour, and market trends to inform product strategy. Develop and maintain dashboards and reports to track key performance indicators (KPIs) and product health. Use advanced statistical techniques and tools to uncover insights and patterns in complex data sets.
• Product Strategy & Roadmap: Collaborate with product managers, engineers, and designers to define product requirements and prioritize features based on data-driven insights. Support the development of product roadmaps by providing actionable recommendations and identifying opportunities for enhancement.
• Cross-Functional Collaboration: Collaborate with engineers to ensure data collection thoroughness, accuracy, and quality. Work with product, engineering, marketing, and sales teams to enable their work by delivering knowledge on the product and our users. Collaborate with data scientists and data engineers to define and execute on our data warehousing processes.Who You Are:
• Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science, or a related field.
• 5+ years of experience in product analysis or a related analytical role within a SaaS environment.
• Proficiency in data technologies such as SQL and DBT, and in programming in Python.
• Experience in using dashboarding software such as Looker and creating ad-hoc analyses using notebooking software such as Jupyter Notebooks.
• Excellent analytical skills with the ability to explore large datasets and translate complex data into actionable insights.
• Proven experience in working with cross-functional teams and presenting data-driven recommendations to senior stakeholders.
• Strong understanding of product development processes.
• Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.Nice To Haves:
• Experience with data engineering and ETL, including building new data warehousing transformations using DBT and using Airflow to schedule and execute those jobs.
• Knowledge of machine learning and inference, including data mining.How you will do it:
• A self-starter: You wake up, form a plan, and get going!
• Practice Extreme Ownership - including exhibiting a bias for action, a deep desire to understand all parts of our business, including our customers, and partners; taking risks, adapting and learning till you succeed; a mindset to persevere!
• Be open to feedback; listen, learn, and iterate. We're all One Team!What to expect as a candidate:While we are never perfect, we have aimed to build a process that fosters fairness and helps to minimize bias, this includes structured processes and interviews. Our goal is that everyone interviewed has a positive experience, regardless of the outcome.Stage: Send us your resume and a note about how your story connects to ours. Feel free to focus on what you have learned rather than just a list of responsibilities. Tell us your story! We'll aim to tell you quickly if it is not the right fit so you are always informed.Stage: Successful candidates will meet with our Talent lead. It will be standardized to keep things fair but also with enough room to show your uniqueness. We'll communicate the salary range now for full transparency. If you like us and we also think there is a fit, we'll invite you to the next stage.Stage: A call with our Head of Engineering who will ask you more in-depth questions about your experience and skills. Come with questions! If this call goes well and we both want to move forward with each other we will ask you to complete a case study.Stage: This stage will be with both our Head of Engineering and another member from the team. We will take you through a technical case study to better understand your technical skills. We will also leave time to give feedback and ask some more questions.Stage: This round will be an interview with our Head of Product and another member from our product team. This will give you an opportunity to understand how we operate cross-functionally and assess more of your business thinking.Stage: This is the final stage in the process where you will meet our CEO, KJ. This stage will be more of an introductory call and less focused on your in-depth skills and knowledge. KJ will share with you more about ResQ's vision and mission. He will also ask you some more questions and he will, of course, be able to answer any additional questions you might have.Want to learn more? Keep Reading!We are a mission-driven team and have a big vision to revolutionize the service industry. While on that journey, we recognize that building a startup is very hard. Turning vision into reality in a fast-growing environment takes superhuman efforts and is often one of the most difficult, yet rewarding, things one can do.We do our best to ensure transparency during all stages of the interview process but we realize it's a lot of information to take in at once so we wanted to centralize everything to make it easier for you to navigate through. We have created a Talent Notion page which will help you learn more about us during the recruitment process.ResQ strongly believes that diversity of experience, perspectives, and background will result in a better environment for our employees and a better product for our users. ResQ is an equal opportunity employer. We do not discriminate against applicants based on race, colour, religion, sex, national origin, or disability, or any other status or condition protected by Ontario or local law. ResQ is committed to workplace diversity and will provide accommodation to applicants with disabilities throughout the hiring process.Not Sure You Meet all the Requirements? We know the can get in the way of meeting spectacular candidates, so please don't hesitate to apply - we'd love to hear from you!
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Keywords: Get ResQ Ltd, Longmont , Senior Data Analyst, Professions , Denver, Colorado