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Easygo

Data Analyst - Business Operations

Reposted 10 Days Ago
Be an Early Applicant
Melbourne, Victoria
Mid level
Melbourne, Victoria
Mid level
The Data Analyst will analyze datasets, develop reports and dashboards, and provide actionable insights to improve business operations and decision-making.
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Are you a Data Analyst with Campaign and Customer Analytics experience and strong business acumen? Look no further, Easygo has the perfect opportunity for you!


What's in it for you?

We are seeking a skilled Data Analyst with Campaign and Customer analysis experience to work in a newly created role.

By leveraging your analytical expertise, you will work closely with stakeholders across our business operations and on Customer-related projects as part of our Business Intelligence Team.


Your role with us: 

You will work closely with stakeholders across business operations to understand their functions, processes and pain points to deliver valuable insights, recommendations and/or improvements. 

You will use advanced analytics and statistical methods to analyse a wide variety of datasets (including campaign, customer and third-party data) to provide actionable insights to the decision-making process. You will work on ad hoc reports and projects, daily/weekly reports and also be given the chance to suggest extra projects once you get to know business operations and their challenges.

Who are we?
At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the iGaming industry, including Stake.com, Kick.com and Twist Gaming. Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, the vibrant live streaming platform, which connects millions of gamers and content creators worldwide. All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. 

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies. Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 450+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.
Click play, on your career today!

What you will do: 

  • Collect, clean, and preprocess large volumes of data from multiple sources including transactional databases, customer management systems, and other relevant data repositories.
  • Develop and automate daily and weekly reports, incorporating detailed analysis to support business operations and decision-making.
  • Design and maintain dashboards that meet the analytical needs of stakeholders, ensuring alignment with business objectives.
  • Translate raw data into actionable insights to drive informed business strategies.
  • Monitor and evaluate data outcomes to assess the effectiveness of key initiatives, including promotional activities.
  • Address ad-hoc analytical queries related to various business functions such as promotions and customer programs.
  • Conduct comprehensive analysis to understand the impact of products and operations on business performance across areas like compliance, customer value and marketing
  • Optimize and document data workflows, ensuring operational teams can efficiently access and utilize relevant information.
  • Oversee the development, maintenance, and enhancement of data integration tasks and visualization tools, ensuring data accuracy, security, and performance.
  • Stay current with industry trends and emerging technologies to implement best practices and drive continuous improvement in processes and tools. 

What you will bring:

  • Bachelor’s degree in Statistics, Mathematics, Analytics, Computer Science or a related field. Advanced degree preferred.
  • 2-3 years experience in data analysis, statistical modeling, and predictive analytics.
  • Proficiency in programming languages such as Python and SQL for data manipulation and analysis.
  • Experience with data visualisation tools such as Tableau.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.

Bonus points if you also have:

  • Experience working with cloud platforms such as AWS or similar environments.
  • Proficiency in ETL processes and tools, such as Matillion, AWS Glue, or equivalent technologies.
  • Familiarity with machine learning concepts and applications.
  • Background in iGaming or Gambling is highly desirable.
  • Proficient in productivity and collaboration tools, including Google Workspace (Drive, Sheets, Docs), Slack, JIRA, and Confluence.

Some of the perks of working for us:

  • EAP access for you and your family
  • Access to over 9,000 courses across our Learning and Development Platform 
  • Paid volunteer day
  • Two full-time baristas who will make your daily coffee, tea or fresh juice!
  • Daily catered breakfast
  • Massage Wednesdays - we get professionals to do this!
  • Team lunches and happy hour in the office from 4pm on Fridays
  • Fun office environment with pool tables, table tennis and all your favourite gaming consoles
  • Help yourself drink fridges and snack shelves

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Top Skills

AWS
Aws Glue
Confluence
Google Workspace
JIRA
Matillion
Python
SQL
Tableau

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