Our Biz Ops team is growing, expanding its market presence and we׳re looking for a highly motivated Business Analyst to join us. The successful candidate will take an active role in generating insights and driving business processes and decisions creating an impact across business, product, marketing and operational activities.
The ideal candidate should be interested in working in a fast-paced global tech company and should have excellent service capabilities.
As a Business Analyst, you will report to the Head of Business Operations & Data and be a part of the analytics team, performing hands-on analysis and developed analytics methodology with in the Biz Ops team handling all business aspects supporting our global and growing company commercial activity. This is a significant role-impacting strategic direction and ongoing business model.
Roles and Responsibilities
The responsibilities of the Biz Ops Analytics team are to generate data insights, KPIs, reports and analytics across our business and operations, maximizing business value and accelerating the company's profitable growth. This includes:
· Planning and managing budgets for revenue, expenses and production
· Demand and production forecasts
· Performing deep market analysis and research for our Global markets
· Analysis of current and new business models by market/customer and regular delivery of portfolio analysis reports
· Analyzing and providing business insights from activity in the CRM and other systems
· Analyze large, complex data sets to address strategic and operational business questions
· Design data models, tables and dashboards and reports to facilitate measurement of KPI's and prediction of future performance
· Measure results, identify impact and provide actionable recommendations and conclusions
· Ensure that reporting and data solutions are tested and in line with business logic and data requirements and meet a high standard of quality.
· Take part in designing data collection and data management procedures and methodologies
· Data analysis via implementation of advanced tools (statistical, ML and AI algorithms)
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