At a Glance
- Tasks: Build and maintain data infrastructure for analytics and support business reporting.
- Company: Join OEC, a forward-thinking company transforming the auto repair industry.
- Benefits: Fully remote work, quarterly meet-ups, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and excellence.
- Why this job: Make a real impact by optimising data processes and supporting businesses in their success.
- Qualifications: 4+ years in data management with skills in SQL, Python, and data visualisation tools.
The predicted salary is between 63000 - 77000 £ per year.
The Analytics Engineer will help us build and maintain infrastructure for data and business analytics, financial data visualization, and exploratory data analysis. Responsible for managing data systems and ensuring information accuracy to support business operations and requirements. This position will work with OEC engineers to maintain all the database's safety and security to prevent unauthorized access and potential leaks of confidential data.
What You’ll Accomplish:
- Develop and maintain data infrastructure for analytics here at OEC.
- Build pipelines to extract data from primary and secondary sources.
- Build and support data visualization for Business and Product needs.
- Work with business and tech Product Managers to define reporting and prepare reports to assist with tracking and achieving their goals.
- Analyze parts and application data for trends, patterns, errors.
- Work with Engineers and Software Developers to identify potential data issues and help fix them.
- Build and maintain our data architecture by staging, transforming and finalizing datasets that meet our high standards of quality through out of box & custom testing as well as QA and are used across the organization.
- Develop and document this central source of truth for OEC and assist in our internal digital transformation.
Who You Are:
- You are well-versed in Mathematics and/or Statistics.
- You enjoy critical thinking, data-oriented, systematic approaches to solving problems.
- You have 4+ years of experience in high-volume data management.
- You are proficient with most of the following: SQL, R, Python, Database Design, Data Models, ETL Frameworks, Data Mining and Segmentation, Sigma/Tableau/Looker/Power BI, DBT, AWS Glue, AWS Redshift, Snowflake, Google BigQuery.
- You are familiar with Excel.
- Other Skills: Data Visualization, Revenue Analysis and Modeling.
- You are articulate. Your communication skills are top-notch, both in writing and verbal.
- Able to keep track of multiple projects concurrently.
- Ability to work independently in an environment that expects great things every day.
- You pride yourself on being tech-savvy.
- You learn new processes and software tools quickly.
- You’re very detail-oriented and organized.
- You believe in neatness, and you take pride in a job that is well done!
Why You Should Join Us:
Our vision is to make it fast and easy for auto repair shops to find the right parts across all of their suppliers with one search. Together, OEC’s team helped countless businesses save valuable time so they can focus on their customers — and we’re just getting started. The position is fully remote, with the requirement to attend quarterly in-person meetings.
Analytics Engineer employer: OEC
As an Area Sales Manager in the automotive parts sector, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. Our company fosters a culture of collaboration and innovation, offering competitive benefits and opportunities for professional advancement within the vibrant Manchester Area and Northern Ireland. Join us to make a meaningful impact on sales performance while enjoying a rewarding career in a thriving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like OEC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at OEC.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like OEC.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at OEC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at OEC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at OEC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at OEC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at OEC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
