Revenue Assurance Analyst at Quidax

Quidax is the simplest and most secure way to buy and sell bitcoin, ethereum, ripple and other altcoins.What you’ll be doing

Quidax is building a team of high performers just like that of the Avengers and we’d like to hire a Revenue Assurance Analyst who loves solving complex problems across a full spectrum of technologies. Do you enjoy working with data? or do you even dream about the nuances in dealing with messy data?
Then we're looking for you.

What your day-to-day looks like

Create and construct Revenue Assurance measures, reporting systems and visual displays, with the primary objective of minimising revenue losses and identifying revenue recoveries and cost-saving opportunities.
Evaluate Revenue Assurance controls, reporting and dashboards to detect risks associated with revenue and propose, execute, and oversee remedial measures.
Conduct analysis and manipulation of diverse internal and external data sources to produce practical insights.
Conduct independent study to discover potential prospects or cases of generating income or excessive billing.
Produce business case and/or cost benefit statements to justify analysis and significant discoveries for potential revenue recovery possibilities.
Cooperating with essential stakeholders from various departments to address problems or discover and execute initiatives that enhance operational procedures.
Provide assistance in process automation, including technical and analytical support to operational and management teams as needed.
Identify potential ways to utilize advanced analytics, particularly predictive analytics, in order to achieve improved business results.
Assist in the implementation of data stewardship and data governance activities and initiatives as required.

Job requirements

What you need to have

Bachelor's degree from a recognized university (Most preferably in Mathematics, Statistics, Engineering and Accounting ).
3-5 years of demonstrated business reporting and analytical experience, preferably within the Financial industry.
Experience analyzing, manipulating, transforming, and interpreting large and complex datasets (i.e., millions of rows in excel).
Technical Aptitude and Intermediate knowledge of database queries, structures, and data management principles. SQL, Excel/VBA, Big Query.
Experience with one or more current BI and visualization tools such as Tableau and Power BI.
Exceptional analytical and problem-solving skills; and highly detail oriented.
Excellent interpersonal and communications skills with ability to work with cross-functional teams.
Strong planning and organizational skills and ability to contribute to and support multiple projects in a high-paced performance environment.

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