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For Companies At a Glance
- Tasks: Dive into data to create impactful dashboards and reports for key business decisions.
- Company: Join Sporty, a leading sports betting website with millions of active users.
- Benefits: Enjoy flexible work options, competitive perks, and a vibrant team culture.
- Why this job: Be part of a dynamic environment where your insights drive growth and innovation.
- Qualifications: 3+ years in a data role, strong SQL skills, and familiarity with Python and BI tools.
- Other info: Experience in the gaming industry is a plus; machine learning knowledge is a bonus.
The predicted salary is between 36000 - 60000 £ per year.
We consistently top the charts as one of if not the most used Sports Betting website in the countries we operate in.With millions of weekly active users, we strive to be the best in industry for our users.
As a BI Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.
Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders.
Our Stack
MySQL Python AirFlow AWS Metabase Redshift Linux
Responsibilities
Set up and execute extract, transformation and load (ETL) functions to build a data pipelineExtraction and analysis of large data sets from MySQL Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized Delivering clear analysis and reporting of core business metrics to shareholders Creation and management of reports and dashboards Data management Enhance and optimize existing reporting processes Ad hoc analysis and reporting to clients and shareholders Aid in reconfiguring existing architecture and database structure to address our shareholder\’s evolving needs Daily maintenance and monitoring of all BI related databases and dashboards, including proficient handling of emergencies Providing actionable insight to drive growth of core products
Requirements
3+ years experience in a similar data-driven role Excellent working knowledge of SQL Familiarity with Python and a range of BI and data visualization toolsStrong knowledge with ETL data pipelinesStrong knowledge of A/B TestingFamiliarity with AirflowUnderstanding of principles of relational databases and data warehouse Strong understanding of sports and gaming will be beneficial Proactive and self-driven with excellent analytical skills Ability to thrive in a fast paced and dynamic environment Great communication skillsRelevant knowledge or experience in the gaming industryNice to have hands-on experience with machine learning
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BI Analyst employer: Houston Texans
Contact Detail:
Houston Texans Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Analyst
✨Tip Number 1
Familiarise yourself with our tech stack, especially MySQL and Python. Being able to demonstrate your proficiency in these areas during discussions can set you apart from other candidates.
✨Tip Number 2
Showcase your experience with ETL processes and data pipelines. Be prepared to discuss specific projects where you've successfully implemented these methodologies, as this is crucial for the role.
✨Tip Number 3
Highlight any experience you have with A/B testing and data visualisation tools. This will demonstrate your ability to provide actionable insights and support decision-making processes effectively.
✨Tip Number 4
If you have a background in sports or gaming, make sure to mention it! Understanding the industry will help you connect better with our team and show that you're passionate about what we do.
We think you need these skills to ace BI Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the BI Analyst position at Sporty. Familiarise yourself with the tools and technologies mentioned in the job description, such as MySQL, Python, and ETL processes.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in SQL, data analysis, and any experience you have with BI tools or the gaming industry.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and the gaming industry. Mention specific projects or experiences that demonstrate your ability to provide actionable insights and improve reporting processes.
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive business decisions in previous roles. Highlight any experience with A/B testing, performance tuning, or creating dashboards that have impacted stakeholders positively.
How to prepare for a job interview at Houston Texans
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and any BI tools you've used. Be prepared to discuss specific projects where you implemented ETL processes or created dashboards, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Familiarise yourself with the sports betting industry and the company's position within it. Being able to discuss how your insights can drive business decisions will show that you understand the bigger picture and are ready to contribute.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical skills and problem-solving abilities. You might be asked to walk through how you would approach a specific data challenge or optimise a reporting process, so think of examples from your past experience.
✨Communicate Clearly and Effectively
Since you'll be delivering insights to various stakeholders, strong communication skills are essential. Practice explaining complex data concepts in simple terms, and be ready to discuss how you tailor your reports for different audiences.
