The MarTech Engineer, BI Analyst will transform data into actionable insights using advanced analytical solutions. This role requires expertise in Python/R, SQL, Power BI, and machine learning technologies.
Martech Engineer, Business Intelligence Analyst As a MarTech Engineer, Business Intelligence Analyst, you will play a crucial role in transforming data into actionable insights that inform business strategies and drive performance. You will work closely with cross-functional Adobe and client teams to design, develop, and implement advanced analytical solutions. Your expertise in Python/R, SQL, Power BI, Power Apps, Advanced Analytics, and Databricks will be essential in this role. Key Responsibilities • Develop and maintain advanced data models, reports, and dashboards using Power BI. • Utilize Python or R for advanced analytics and statistical analysis to uncover trends and insights. • Design and implement machine learning models using AWS SageMaker for predictive analytics. • Create and manage complex SQL queries to extract, manipulate, and analyze data from various sources. • Collaborate with stakeholders to understand business requirements and translate them into technical solutions. • Develop custom applications and automation workflows using Power Apps to streamline business processes. • Perform data mining, cleaning, and transformation to ensure data quality and integrity. • Utilize Databricks for big data processing and advanced analytics. • Conduct thorough data and statistical analysis to support business decision-making. • Present findings and recommendations to senior management and stakeholders clearly and concisely. Required Skills and Qualifications • Bachelor's degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field. A Master's degree is preferred. • Proven experience as a Business Intelligence Analyst or similar role, focusing on advanced analytics and data analysis. • Proficiency in Python or R for data analysis and statistical modeling. • Strong SQL skills with experience in complex query writing and database management. • Expertise in Power BI for data visualization and reporting. • Experience with Power Apps for developing custom applications and automation. • Hands-on experience with AWS SageMaker for machine learning and predictive analytics. • Familiarity with Databricks for big data processing and advanced analytics. • Strong analytical and problem-solving skills with a keen attention to detail. • Excellent communication and presentation skills with the ability to convey complex information to non-technical stakeholders. • Ability to work independently and collaboratively in a fast-paced environment. Preferred Skills • Experience with other BI tools and platforms (e.g., Tableau, QlikView). • Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake). • Certification in relevant BI and analytics tools (e.g., Microsoft Certified: Data Analyst Associate, AWS Certified Machine Learning). • Experience with Adobe Marketing Cloud + Adobe Experience Manager (AEM) (Site, Assets, Multi-Site Manager, Creative Cloud Asset Link) + Adobe Target, + Adobe Campaign + Adobe Launch/Tag + Adobe Experience Platform (RTCDP, Adobe Journey Optimizer, Adobe Journey Analytics). Primary Location City/State Homebased - Conway, Arkansas Additional Locations (if applicable) This position is not located in the aforementioned locations but applications for remote work may be considered.
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The MarTech Engineer, BI Analyst will transform data into actionable insights using advanced analytical solutions. This role requires expertise in Python/R, SQL, Power BI, and machine learning technologies.
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The MarTech Engineer, BI Analyst will transform data into actionable insights using advanced analytical solutions. This role requires expertise in Python/R, SQL, Power BI, and machine learning technologies.