לוח משרות דרושים Data Analyst בתל אביב יפו

We are a high-tech boutique iGaming company. We love what we do, and people who do it.
And not to brag too much, but over 500 of them already and growing!
With hubs in Europe, Africa, LATAM, we harness & celebrate the unique perspectives everyone brings.
It allows us to see the full picture of the betting world in all its spectrum and trust us, its beautiful.

We recruit, grow and develop our employees, no matter what career stage they're at. Can't spell success without U.
This is how we keep it cool:
- Promote Diversity
- Invest in People
- Be Responsible
- Have fun
- For the bettor
With two decades packed in our duffle, we've charted a course where you're always in the spotlight.

Bringing us to our current spot for the role of a CRM Data Analyst, who is instrumental in analyzing customer relationship management (CRM) data to enhance customer engagement, optimize marketing strategies, and drive players growth.
Play a pivotal role in understanding customer behaviors, segmenting audiences, and aiding in the development of targeted marketing campaigns, providing actionable insights to support business objectives.

Responsibilities:
- Analyze customer data to identify trends, behaviors, and opportunities for business growth.
- Design, maintain, and analyze BI reports to gain insight into customer behavior.
- Support the CRM team in developing and implementing CRM strategies to improve customer engagement and retention.
- Develop data-driven recommendations to improve for enhancing customer experience, loyalty, and social growth based on data analysis.
- Stay up to date on the latest CRM trends and technologies within the iGaming industry.
- Maintain data quality and integrity within the CRM system.

10 reasons to join 10Bet:
1. Competitive remuneration & bonuses (your awesome work deserves rewarding).
2. Fun perks & benefits (goes without saying!)
3. Smart, Senior and Competent colleagues to learn from and grow (and were just starting to expand and welcome Talents like yours).
4. Very dynamic and proactive HR! Always something cooking around here: team buildings,
parties, knowledge-sharing, etc. you name it.
5. Individual Development Program and continuous learning to fuel your professional growth
6. Psychological safety and diversity. Culture Adds instead of Culture Fits.
7. Pet-friendly office (just in case youre in the mood of showing-off your significant-other.
8. Responsible gambling (with great fun comes great responsibility!)
9. Open Doors, Open Minds: Transparency and Communication to share your thoughts, make the difference
10. Global Stage, Local Touch. We operate internationally, but build culture on close-knit relationships and a supportive environment.

We develop cutting edge API driven banking solutions to some of the largest names.

You will:
Manage a team that will design, develop, and implement predictive models, Machine Learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination
Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices
Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results
Collaborate with cross-functional teams to understand business requirements and develop data -driven solutions for Fair Lending compliance
Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities

We develop cutting edge API driven banking solutions to some of the largest names.

You will:


Design, develop, and implement predictive models, Machine Learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination
Analyze large datasets to identify patterns, trends, and potential areas of concern related to Fair Lending practices
Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results
Collaborate with cross-functional teams to understand business requirements and develop data -driven solutions for Fair Lending compliance
Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices