Senior Data Product Analyst - Recruit22 LLC
Oak Brook, IL 60523
About the Job
Overview:
We are seeking a dynamic Senior Data Product Analyst to join our client's Decision Intelligence Group (DIG). This role is integral in bridging business needs with technical solutions, ensuring seamless data access and utilization to drive informed decision-making. As a key player, you will collaborate with business leaders, data engineers, and software developers to craft data-driven solutions that fuel company success.
Key Responsibilities:
- Data Product Expertise: Act as the subject matter expert on data products, working closely with business leaders and technical teams to deliver timely, relevant data.
- Collaboration: Serve as the primary liaison within DIG, understanding data needs, gathering requirements, and translating business problems into actionable technical solutions.
- Data Model Development: Create and implement data models, tables, and dashboards that enable the business to interpret data and derive insights quickly.
- Dashboard Design: Design intuitive, flexible dashboards that answer business questions efficiently, reducing the need for multiple specific visualizations.
- Data Solution Advocacy: Promote the use of data solutions across the organization through training, webinars, and hands-on sessions with business analysts.
- Research and Recommendations: Conduct independent research to provide insights and recommendations on critical data for understanding customer experiences.
- Third-party Data Integration: Explore and integrate new third-party data sources to enhance business performance.
- Best Practices Adoption: Develop and promote best practices in data integrity, testing, analysis, validation, and documentation.
- Mentorship: Provide guidance and mentorship to team members, fostering skill development and creating business value.
- Compliance: Ensure health and safety guidelines are followed and protect the company's reputation by maintaining confidentiality.
- Continuous Learning: Stay updated with industry trends by attending workshops, reading professional publications, and networking.
Minimum Qualifications:
- Education: Bachelor's Degree in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics, or a related field.
- Experience: 3+ years in Analytics/Business Intelligence, with a focus on leading projects and building data solutions in a cloud environment.
- Technical Skills:
- Advanced experience with data visualization platforms like Power BI, Tableau, or Qlik.
- Proficiency in SQL and intermediate-level experience with Python (Pandas, Polars, or Spark).
- Experience with self-service analytics, preferably within Azure Cloud architecture, PowerBI, and/or Databricks.
- Experience with large volumes of structured and unstructured data.
- Soft Skills: Strong business acumen, excellent communication skills, and the ability to lead projects independently and collaboratively.
Preferred Qualifications:
- Education: Master's degree in a related field.
- Certifications: Power BI Development and Design certification.
- Experience:
- Familiarity with Azure Synapse, Databricks, and ADLS Gen 2.
- Experience with Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms like Tealium.
- Web-based data visualization skills.
- Technical Skills: Proficiency with project management tools (Jira), source control (BitBucket), and working within a technology-driven organization.
Why Join Us?
Our client offers a collaborative and innovative environment where your expertise will directly impact the company's success. Join a team dedicated to harnessing the power of data to drive business growth and efficiency.
Application Process:
If you are a data-driven professional with a passion for translating complex data into actionable insights, we want to hear from you. Apply now to take the next step in your career with a leading organization in data analytics.
We are seeking a dynamic Senior Data Product Analyst to join our client's Decision Intelligence Group (DIG). This role is integral in bridging business needs with technical solutions, ensuring seamless data access and utilization to drive informed decision-making. As a key player, you will collaborate with business leaders, data engineers, and software developers to craft data-driven solutions that fuel company success.
Key Responsibilities:
- Data Product Expertise: Act as the subject matter expert on data products, working closely with business leaders and technical teams to deliver timely, relevant data.
- Collaboration: Serve as the primary liaison within DIG, understanding data needs, gathering requirements, and translating business problems into actionable technical solutions.
- Data Model Development: Create and implement data models, tables, and dashboards that enable the business to interpret data and derive insights quickly.
- Dashboard Design: Design intuitive, flexible dashboards that answer business questions efficiently, reducing the need for multiple specific visualizations.
- Data Solution Advocacy: Promote the use of data solutions across the organization through training, webinars, and hands-on sessions with business analysts.
- Research and Recommendations: Conduct independent research to provide insights and recommendations on critical data for understanding customer experiences.
- Third-party Data Integration: Explore and integrate new third-party data sources to enhance business performance.
- Best Practices Adoption: Develop and promote best practices in data integrity, testing, analysis, validation, and documentation.
- Mentorship: Provide guidance and mentorship to team members, fostering skill development and creating business value.
- Compliance: Ensure health and safety guidelines are followed and protect the company's reputation by maintaining confidentiality.
- Continuous Learning: Stay updated with industry trends by attending workshops, reading professional publications, and networking.
Minimum Qualifications:
- Education: Bachelor's Degree in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics, or a related field.
- Experience: 3+ years in Analytics/Business Intelligence, with a focus on leading projects and building data solutions in a cloud environment.
- Technical Skills:
- Advanced experience with data visualization platforms like Power BI, Tableau, or Qlik.
- Proficiency in SQL and intermediate-level experience with Python (Pandas, Polars, or Spark).
- Experience with self-service analytics, preferably within Azure Cloud architecture, PowerBI, and/or Databricks.
- Experience with large volumes of structured and unstructured data.
- Soft Skills: Strong business acumen, excellent communication skills, and the ability to lead projects independently and collaboratively.
Preferred Qualifications:
- Education: Master's degree in a related field.
- Certifications: Power BI Development and Design certification.
- Experience:
- Familiarity with Azure Synapse, Databricks, and ADLS Gen 2.
- Experience with Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms like Tealium.
- Web-based data visualization skills.
- Technical Skills: Proficiency with project management tools (Jira), source control (BitBucket), and working within a technology-driven organization.
Why Join Us?
Our client offers a collaborative and innovative environment where your expertise will directly impact the company's success. Join a team dedicated to harnessing the power of data to drive business growth and efficiency.
Application Process:
If you are a data-driven professional with a passion for translating complex data into actionable insights, we want to hear from you. Apply now to take the next step in your career with a leading organization in data analytics.
Source : Recruit22 LLC