14 Apr 2018
17 Apr 2018
Contract Type
Full Time
An experienced Games Analyst with strong domain knowledge, technical andcommunication skills, to empower decision-oriented development of Rare'stitles and services. Qualifications Rare is an equal opportunity employer. All qualified applicants willreceive consideration for employment without regard to age, ancestry,color, family or medical care leave, gender identity or expression,genetic information, marital status, medical condition, national origin,physical or mental disability, political affiliation, protected veteranstatus, race, religion, sex (including pregnancy), sexual orientation,or any other characteristic protected by applicable laws, regulationsand ordinances. 3+ years of relevant business experience ideally in gaming, butalternatively in an internet or technology environment. High level of numeracy with Quantitative/statistical analytic skills. Proficiency with SQL, Hive and big data transformations. Experience with visualizing data in reports, dashboards and decks. Strong attention to detail, natural curiosity with ability toproblem-solve creatively Exceptionally strong communication skills (both written and verbal),strong collaboration skills, and the ability to work effectively with adiversity of business users, of different technical abilities. Self-starter who can effectively manage time and work load. An independent learner who can identify knowledge gaps and opportunitiesfor improvements and reach out for resource. Desirable Experience with PowerBI Experience with the Azure data stack Experience with Machine LearningResponsibilities Maintain regular engagement syncs with teams across the business togather new analytic requirements, share insights and iterate on deliverables. Support business stakeholders in different disciplines with questionframing and success criteria. Construct aligned, accurate and actionable metrics and identify requireddata signals to support them. Carry out bespoke research/analysis to uncover actionable insights tofeed into product development. Deliver those insights effectivelythrough decks and reports. Produce, maintain and regularly publish scorecards and reports. Within the BI team, own, improve and promote analytic practicesscientific approach. Endeavour to grow internal capability and skills,actively contributing to continuous growth. - provided by Dice AZURE, BI, BIG DATA, INTERNET, MACHINE LEARNING, SQL