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Regional Analytics Manager (Jakarta, DKI Jakarta Jakarta, ID) @ Bayer

Jakarta, IDOnsiteFull-time
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<table border="0" cellpadding="0" cellspacing="0" style="width:970.0px"> <tbody> <tr> <td colspan="4"> <table border="0" cellpadding="0" cellspacing="0" style="width:970.0px"> <tbody> <tr> <td style="background-color:white"><img border="0" src="https://career.bayer.com/sites/g/files/kmftyc1291/files/Internal%20Job%20Postings.jpg"></td> </tr> </tbody> </table> </td> <td> </td> </tr> <tr> <td colspan="4" style="vertical-align:top"> <p align="justify"> </p> <p align="justify"><span style="font-size:28.0px"><span style="font-family:arial, helvetica, sans-serif"><b>Regional Analytics Manager</b></span> </span></p> </td> <td style="vertical-align:top"> </td> </tr> <tr> <td colspan="4" style="vertical-align:top"> </td> <td style="vertical-align:top"> </td> </tr> <tr> <td colspan="4" style="vertical-align:top"> </td> <td style="vertical-align:top"> </td> </tr> </tbody> </table> <p><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><strong>PURPOSE</strong></span></p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Reporting to the VP, Customer Experience and Digital Farming Asia, this role is designed to build an understanding of our customers (farmers) and businesses (seeds, crop protection, crop solutions &amp; services, and digital) and bring expertise to executive-level relationships to drive data-driven decision-making and help cross-functional leaders deliver their strategies. You will leverage expertise promoting data analytics, collaborating with teams to deliver actionable insights. The role also includes developing and maintaining analytics systems, working with relevant internal capability teams to expand and optimize data pipelines and architecture across Bayer&apos;s digital ecosystem.</span></p> <p> </p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><strong>MAJOR TASKS &amp; RESPONSIBILITIES</strong></span></p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Customer and User Experience</span></p> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Lead the analysis of customer experience (phygital; i.e., physical interactions &amp; digital SaaS) success metrics to extract actionable insights, develop predictive models, and present executive-level reports on trends and their business impact.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Work with Executives and Business Leaders to calibrate business against the objectives and key results, forecast and report the state of the business for the assigned customer experience journey.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Identify key drivers of customer and user satisfaction, and work with product and customer teams to develop strategies to address pain points, and lead initiatives to close the feedback loop with customers and users.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Enable the implementation of customer experience success metric improvements, develop customer and user retention programs, and incorporate feedback into physical business process and digital SaaS enhancements.</span></li> </ul> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Insights &amp; Data Driven Decision Making</span></p> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Create business and customer reports that facilitate data-driven decision making. Build reports, dashboards, and metrics to monitor the performance of our offerings.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Data mining, statistical analysis, and data visualization to help understand how customers (farmers) are interacting with our businesses (seeds, crop protection, crop solutions &amp; services, and digital).</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Own the design, development, and maintenance of ongoing reports, dashboards, etc. Maintain and continuously add to a robust reporting framework with dashboards and extensible emailers and notifications.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Improve accuracy and coverage (instrument as many things as possible) of data.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Stay abreast of industry best practices, implement innovative approaches to gathering and utilizing customer feedback, and continuously refine customer experience metric methodologies.</span></li> </ul> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Pipeline</span></p> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Maintain and improve data pipeline including instrumentation.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Optimize for efficiency in being able to read data and summarize reports.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.</span></li> </ul> <p> </p> <p> </p> <p> </p> <p><span style="font-size:12.0pt;font-family:arial, helvetica, sans-serif"><strong>SKILLS &amp; REQUIREMENTS</strong></span></p> <p> </p> <p> </p> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Bachelor&apos;s degree in Computer Science, Information Systems, Data Engineering, or a related field.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">5+ years of relevant experience in customer experience management, data engineering, data science, analytics, or a related field, with hands-on experience in data and product analytics.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Experience in developing business requirements and defining metrics for reporting, along with proficiency in data visualization tools (Preferably- Power BI, &amp; Tableau, Looker etc).</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Strong background in data analysis and interpretation. Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Understanding of data analytics technology stack (e.g., Amazon Quicksight, Google Analytics, Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Strong proficiency in SQL and Python, with experience in building and optimizing AWS Glue pipelines for large-scale data processing.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics. Excellent written and oral communication skills, with the ability to effectively present technical concepts to both technical and non-technical stakeholders.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Excellent business acumen and problem-solving skills.</span></li> </ul> <p> </p><table style="width:970.0px" border="0" cellspacing="1" cellpadding="1" align="left"> <tbody> <tr> <td colspan="3"> </td> </tr> <tr> <td colspan="3"> <p> </p> </td> </tr> </tbody> </table> <table style="width:970.0px;height:118.164px" border="0" cellspacing="0" cellpadding="0"> <tbody> <tr style="height:23.6328px"> <td style="vertical-align:top" colspan="4"> </td> <td style="vertical-align:top"> </td> </tr> <tr style="height:23.6328px"> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><strong>Application Period:</strong></span></td> <td style="vertical-align:top;width:200.0px"><span style="font-size:14.0px;color:black"><span style="font-family:arial, helvetica, sans-serif">17/04/2026</span></span></td> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><strong>Reference Code:</strong></span></td> <td style="vertical-align:top"><span style="font-size:14.0px">848610</span> <span style="font-size:14.0px"> </span></td> <td style="vertical-align:top"> </td> </tr> <tr style="height:23.6328px"> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><strong>Division:</strong></span></td> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px">Crop Science</span> <span style="font-size:14.0px"> </span></td> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><strong>Location:</strong></span></td> <td style="vertical-align:top"><span style="font-size:14.0px">Indonesia : DKI Jakarta Jakarta : Jakarta</span> <span style="font-size:14.0px"> </span></td> <td style="vertical-align:top"> </td> </tr> <tr style="height:23.6328px"> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><strong>Functional Area:</strong></span></td> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px">Information Technology</span> <span style="font-size:14.0px"> </span></td> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><strong>Position Grade:</strong></span></td> <td style="vertical-align:top"><span style="font-size:14.0px">VS 1.1</span> <span style="font-size:14.0px"> </span></td> <td style="vertical-align:top"> </td> </tr> <tr style="height:23.6328px"> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><span style="font-family:arial, helvetica, sans-serif"><strong>Employment Type:</strong></span></span></td> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><span style="font-family:arial, helvetica, sans-serif">Regular </span></span></td> <td style="vertical-align:top;width:150.0px"><span style="font-size:14.0px"><span style="font-family:arial, helvetica, sans-serif"><strong>Work Time:</strong></span></span></td> <td style="vertical-align:top"><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt">Standard</span></td> <td style="vertical-align:top"> </td> </tr> </tbody> </table> <table style="width:970.0px" border="0" cellspacing="1" cellpadding="1" align="left"> <tbody> <tr> <td colspan="3"> </td> </tr> <tr> <td colspan="3"> </td> </tr> <tr> <td colspan="3"><span style="font-size:14.0px"><span style="font-family:arial, helvetica, sans-serif"><strong>Contact Us</strong></span></span></td> </tr> <tr> <td colspan="3"> </td> </tr> <tr> <td><span style="font-size:14.0px">Address</span></td> <td style="width:150.0px"><span style="font-size:14.0px">Telephone</span></td> <td><span style="font-size:14.0px">E-Mail</span></td> </tr> <tr> <td> </td> <td style="width:150.0px"> </td> <td> </td> </tr> <tr> <td> </td> <td style="width:150.0px"> </td> <td> </td> </tr> <tr> <td colspan="3"> </td> </tr> <tr> <td colspan="3"> </td> </tr> </tbody> </table>

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