DigiOutsource
Who we’re looking for
We’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At DigiOutsource, every day is action-packed, and we expect you to bring your A-game. In return, you’ll find a supportive environment where your skills can flourish and your career can soar.
Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary.
Why we need you
We’re on a mission to create extraordinary experiences for our customers, and we believe that your unique skills, passion and superdrive will help us achieve our vision.
As part of the Data Team, we deliver information to the company that is timely, accurate, reliable, and relevant. Our information is utilised across the entire business from front facing customer hosts through to executives. Ongoing analysis and evaluation of results is a daily function. This role involves working closely with clients, providing analytical insights, and making data-driven recommendations to support business objectives.
What you’ll be doing
As part of your role, your responsibilities will include:
Performing statistical and data analysis.
Extracting relevant data from various internal and external sources for analysis.
Manipulating and analyzing raw application data from various systems to derive meaningful insights.
Developing and conceptualizing new reports and dashboards based on business needs.
Investigating and monitoring data trends proactively.
Conducting financial analysis and support data-driven business decisions.
Providing strategic recommendations based on data-driven insights.
Providing training and education on data systems, reports, and analytical outputs.
Delivering ad hoc data services and analytical consulting to clients.
Close collaboration with the Product Manager and Engineering team to understand business objective and key metrics to be analyzed.
Essential skills you’ll bring to the table
The necessary skills that we require for this role include:
A graduate/postgraduate degree in a relevant discipline (Mathematics, Actuarial Science, Mathematical Statistics or similar)
Minimum of 5 years’ experience in a data-related field (data engineering, data analytics, BI, etc.).
2 years of experience in a Data Analyst, BI Analyst role or similar
A sound understanding of relational databases
Hands-on experience with SQL and the Microsoft BI stack or equivalent.
Expertise in report writing and visualization technologies.
Superior applied excel knowledge.
Exposure to or interest in data mining technologies.
Experience in or exposure to analytical research/methodologies.
Very strong math and stats experience/skills.
Strong verbal and written communication skills, with the ability to convey complex ideas clearly and effectively.
Strong client interaction skills.
Business interpretation of decision support data.
Exceptional attention to detail, ensuring high standards of quality in all outputs.
Ability to adapt quickly to changing environments and priorities, maintaining effectiveness in dynamic situations.
Desirable skills you’ve got up your sleeve
It would be great if you also have some of the following skills:
Knowledge of advanced statistical methods such as regression analysis, hypothesis testing, time series analysis, and machine learning algorithms.
Practical experience with tools like R, Python, SAS, or SPSS for statistical modelling and analysis.
Expertise in data mining technologies.
Experience with cloud based data platforms.
Experience in data extraction, transformation, and loading (ETL) processes.
Familiarity with tools and technologies for managing and processing big data, such as Hadoop or Spark.
In-depth knowledge of sports betting markets, including odds calculation, betting types and market trends
Previous experience in the online gaming or casino industry, with a strong understanding of player behaviour and industry regulations
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