Do you want to be part of a passionate team that is transforming data into insights, working across engineering, marketing and sales teams to drive usage and revenue growth, based on telemetry and data science with the opportunity to impact millions of people? The Microsoft Business Applications Group is looking for an experienced software engineer for the Analytics and Insights team in the Dynamics 365 Customer and Partner Success team. Our team was established to provide state-of-the-art customer, partner and user analytics to drive decision, product usage and revenues. Our team owns production services like Net Promoter Score and Recommendation pipelines for multiple Microsoft marketplaces. We also support senior leadership, product development, finance, sales and marketing with analysis, insights and reporting. We use data science to drive usage and revenue growth through machine learning models for personalized recommendations, marketing automation and lead scoring.
Design and development of ML based growth hacking solutions Work with data scientists to identify new actionable insights that improve the customers' experience Build aggregates and data pipelines required for the models and ad hoc analysis
Required : Minimum of 1 year of relevant work experience in data analytics and/or growth hacking Preferred: At least 1 year of big data experience like Cosmos, Hadoop, Azure data lake, etc. Experience implementing ML models for day-to-day operations At least 3 years of experience as a software or data engineer Solid understanding of telemetry and data analytics technologies like: Power BI, SQL, Cosmos, Kusto, Azure ML, R, Python, Spark, Hadoop. Passion for data and the desire to learn and adopt new technologies and analysis methodologies Demonstrated experience with data analysis and visualization