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Position: Senior Data Analyst
Institution: Rokt
Location: Sydney, New South Wales, Australia
Duties: Partner with Product and Engineering teams through analyses, reporting, modelling, and generate valuable insights to aid in decision making; Conduct quantitative analyses on partner, advertiser, and customer behaviour to help Product Managers and Engineering refine their product strategy; Provide product managers and engineering teams with recommendations that help them achieve business outcomes through by unearthing actionable insights across our product suite; Create and maintain dashboards and reports to baseline and monitor Product usage and company-wide metrics; Define measurement frameworks and analyze key metrics and to inform decision-making and measure success
Requirements: 6+ years of experience in Analytics or Data Science; Deep SQL skills and proficiency in working with big data and ETL management; Autonomous, detail-oriented, and comfortable with breaking down ambiguous problems into quantitative solutions; Passion for extracting actionable insights that move the business forward; Good business acumen and communication skills (written and verbal). Proficient in being able to distil complex findings and analyses into simple outputs, and engage with senior leadership; Experience with visualization tools such as Tableau
   
Text: Senior Data Analyst Partner with Product and Engineering teams through analyses, reporting, modelling, and generate valuable insights to aid in decision making; Conduct quantitative analyses on partner, advertiser, and customer behaviour to help Product Managers and Engineering refine their product strategy; Provide product managers and engineering teams with recommendations that help them achieve business outcomes through by unearthing actionable insights across our product suite; Create and maintain dashboards and reports to baseline and monitor Product usage and company-wide metrics; Define measurement frameworks and analyze key metrics and to inform decision-making and measure success 6+ years of experience in Analytics or Data Science; Deep SQL skills and proficiency in working with big data and ETL management; Autonomous, detail-oriented, and comfortable with breaking down ambiguous problems into quantitative solutions; Passion for extracting actionable insights that move the business forward; Good business acumen and communication skills (written and verbal). Proficient in being able to distil complex findings and analyses into simple outputs, and engage with senior leadership; Experience with visualization tools such as Tableau
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