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Data Insights Manager

2 months ago

Oak Brook, Illinois, United States GlobalSource IT Full time
About the Role

We are seeking a highly skilled Data Insights Manager to lead our Data Product team, bridging the gap between business needs and technology. As a leader in this organization, you will ensure that the business partners can easily understand, access, and utilize data.

The ideal candidate will have a strong background in data analytics and a proven track record of managing complex projects. You will be responsible for managing the full lifecycle of data products, from requirements gathering, data modeling, and delivery of actionable insights.

Key Responsibilities
  • Data Product Management: Manage the full lifecycle of data products, from requirements gathering, data modeling, and delivery of actionable insights.
  • Technical Leadership: Guide the process where data architecture decides on modeling, data engineering populates models with data, and the Data Products team develops a platinum layer and reporting in a medallion architecture.
  • Custom Solution Development: Oversee the creation and optimization of custom platinum layers for various business units, ensuring that these layers support self-service BI, dashboards, and data science initiatives.
  • Technical Expertise: Utilize Azure Databricks, Power BI, and other tools to address technical challenges and ensure business needs are met.
  • User Support: Assist users with SQL, Scala, and data tools for effective analysis and reporting.
  • Collaboration: Facilitate collaboration with business and technology teams to deliver the correct data to the right people to make the right decision in minutes or hours instead of days or weeks.
  • Team Development: Advance best practices and develop the team to be the data subject matter experts for their business partners by building relationships and demonstrating expertise.
Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, or another related field.
  • Experience: 10 years of experience in analytics, with the ability to manage complex projects.
  • Technical Skills: Strong programming foundation in Python, Spark, Pandas, etc.
  • Tools and Technologies: Prior experience in building customer and self-service solutions using Azure Databricks.
  • Certifications: Power BI Development and Design-related certification would be a bonus.
  • Soft Skills: Excellent interpersonal and communication skills.
  • Work Environment: Ability to work onsite in a collaborative environment.
Technical Environment
  • Cloud Platforms: Azure Synapse, Databricks, and ADLS Gen 2.
  • Data Warehousing: Google Analytics, Firebase, and Big Query.
  • Event Processing: Event Hubs and Kafka.
  • Customer Data Platforms: Salesforce, SAP, and CDP platforms such as Tealium.
  • Web Development: Experience building and creating web-based data visualization.
  • Source Control: Source Control tools like Bitbucket.
  • Metadata Management: Erwin.
  • Cloud Management: Logicworks.