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Sporty Group

Senior Casino Business Insights Analyst

Job Posted 22 Days Ago Posted 22 Days Ago
Remote
29 Locations
Senior level
Remote
29 Locations
Senior level
The Senior Casino Business Insights Analyst leads marketing analysis, utilizes advanced data techniques, conducts market research, and provides insights to drive strategic decision-making in the Casino business.
The summary above was generated by AI

Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in.



Do you have a passion for the gaming industry?

Do you want to drive success and strategic decision-making for our rapidly growing Casino business?


Responsibilities


- Leading the analysis of marketing campaigns, customer behaviour, and market trends to provide actionable insights and recommendations;

- Utilising advanced analytical techniques and tools to measure and evaluate the effectiveness of marketing initiatives;

- Conducting in-depth market research and competitive analysis to identify industry trends, emerging opportunities, and potential threats, and provide strategic recommendations to stay ahead of the competition;

- Developing and maintaining marketing dashboards, reports, and visualisations to track KPIs and communicate insights and recommendations;

- Assisting in the forecasting and budgeting processes by providing data-driven insights and recommendations to optimize marketing spend and maximise ROI;

- Collaborating with external partners, agencies, and vendors to leverage their expertise and resources in executing marketing campaigns and initiatives.


Requirements


- Possess previous experience as a Marketing Analyst or similar role with a focus on data analysis and strategic marketing;

- Have analytical skills with expertise in statistical analysis, data modelling, and segmentation techniques;

- Possess a proficiency in data analysis tools such as Excel, SQL, and statistical software (e.g., R, Python);

- Have previous experience with web analytics tools (e.g., Google Analytics) and marketing automation platforms;

- Possess the ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced, dynamic environment;

- Have excellent communication and presentation skills, with the ability to effectively convey complex data insights to stakeholders at all levels.


Benefits


Quarterly performance bonuses

Flexible working hours

Top-of-the-line equipment

Referral bonuses

28 days paid annual leave

Highly talented, dependable co-workers in a global, multicultural organisation

Our teams are small enough for you to be impactful

Our business is globally established and successful, offering stability and security to our Team Members


Our Mission


Our mission is to be an everyday entertainment platform for everyone


Our Operating Principles


1. Create Value for Users

2. Act in the Long-Term Interests of Sporty 

3. Focus on Product Improvements & Innovation 

4. Be Responsible 

5. Preserve Integrity & Honesty 

6. Respect Confidentiality & Privacy 

7. Ensure Stability, Security & Scalability 

8. Work Hard with Passion & Pride


Working at Sporty


The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way.Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results. 


As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don’t have arbitrary shareholder or VC targets to cater to. 

We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.

Top Skills

Excel
Google Analytics
Python
R
SQL

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