1872 Consulting
Sr. Data Product Analyst
Oak Brook, IL – Onsite 3 days per week
Job Summary This role will work closely with business partners to understand their challenges and develop data-driven solutions that data engineers and architects will build leveraging a broad set of data. As an expert of data products, this role will ensure the business partners can easily understand, access, and utilize data to make better business decisions directly in data tables or via dashboards. This role will serve as the final authority when the business has questions related to data products. This role is a hybrid between a next-gen Business Intelligence (BI) analyst and an Analytics Engineer with accountability for data products and direct influence on the company's success.
Essential Duties and Responsibilities
Act as the data product subject matter expert and collaborate with business leaders, data engineers, data scientists, software engineers, and other developers to deliver the right data to the right people at the right time to make the right decisions
Collaborate with business partners as the primary liaison within DIG by understanding their data needs, gathering requirements, translating business problems into technical solutions, leading to broad adoption and business impact
Develop and implement data models, tables, and dashboards that help the business interpret data, derive insights, and make informed decisions
Design flexible and comprehensive dashboards that enable the business to answer the majority of their questions in minutes/hours instead of days/weeks or building dozens of visualizations for specific needs
Champion data solutions that can be used by multiple teams across our company
Evangelize the data products adoption through training materials, webinars, and hands-on training with business analysts through the company
Conduct independent research on all aspects of a product's experiences and data, provide findings and recommendations on which data are critical to fully understand the customer experience
Explore and onboard new third-party data sources that can improve business performance
Recognize, develop, and adopt best practices for building analytical insights including data integrity, testing, design, analysis, validation, documentation, and training to ensure data products are adopted
Providing mentorship/guidance to other members of the team related to best practices, skill development and creating business value
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams
Contribute to the team effort by accomplishing related results and participating on projects as needed
Requirements
3+ years of experience in analytics or business intelligence in a cloud environment
Advanced SQL and data modeling skills and a track record building data models and dashboards
Experience in Power BI preferred, Tableau or Qlik also fine
Python for analytics using libraries like Pandas Polars or Spark with large data sets
Able to lead analytics projects and build self service solutions for business users
Strong communication and stakeholder skills and able to act as the data product expert for the business
Nice to have
Masters degree or Power BI certification
Experience with Azure analytics tools such as Synapse Databricks ADLS and streaming tools like Event Hubs or Kafka
Experience with digital analytics tools such as Google Analytics Firebase BigQuery and platforms like Salesforce SAP or Tealium
Experience with Jira Git or Bitbucket and working in a software or tech environment
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Oak Brook, IL – Onsite 3 days per week
Job Summary This role will work closely with business partners to understand their challenges and develop data-driven solutions that data engineers and architects will build leveraging a broad set of data. As an expert of data products, this role will ensure the business partners can easily understand, access, and utilize data to make better business decisions directly in data tables or via dashboards. This role will serve as the final authority when the business has questions related to data products. This role is a hybrid between a next-gen Business Intelligence (BI) analyst and an Analytics Engineer with accountability for data products and direct influence on the company's success.
Essential Duties and Responsibilities
Act as the data product subject matter expert and collaborate with business leaders, data engineers, data scientists, software engineers, and other developers to deliver the right data to the right people at the right time to make the right decisions
Collaborate with business partners as the primary liaison within DIG by understanding their data needs, gathering requirements, translating business problems into technical solutions, leading to broad adoption and business impact
Develop and implement data models, tables, and dashboards that help the business interpret data, derive insights, and make informed decisions
Design flexible and comprehensive dashboards that enable the business to answer the majority of their questions in minutes/hours instead of days/weeks or building dozens of visualizations for specific needs
Champion data solutions that can be used by multiple teams across our company
Evangelize the data products adoption through training materials, webinars, and hands-on training with business analysts through the company
Conduct independent research on all aspects of a product's experiences and data, provide findings and recommendations on which data are critical to fully understand the customer experience
Explore and onboard new third-party data sources that can improve business performance
Recognize, develop, and adopt best practices for building analytical insights including data integrity, testing, design, analysis, validation, documentation, and training to ensure data products are adopted
Providing mentorship/guidance to other members of the team related to best practices, skill development and creating business value
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams
Contribute to the team effort by accomplishing related results and participating on projects as needed
Requirements
3+ years of experience in analytics or business intelligence in a cloud environment
Advanced SQL and data modeling skills and a track record building data models and dashboards
Experience in Power BI preferred, Tableau or Qlik also fine
Python for analytics using libraries like Pandas Polars or Spark with large data sets
Able to lead analytics projects and build self service solutions for business users
Strong communication and stakeholder skills and able to act as the data product expert for the business
Nice to have
Masters degree or Power BI certification
Experience with Azure analytics tools such as Synapse Databricks ADLS and streaming tools like Event Hubs or Kafka
Experience with digital analytics tools such as Google Analytics Firebase BigQuery and platforms like Salesforce SAP or Tealium
Experience with Jira Git or Bitbucket and working in a software or tech environment
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