Business Intelligence Developer at Infinite Computer Solutions Inc
Irving, TX 75014
About the Job
Key Responsibilities:-
Develop and maintain business intelligence solutions to support financial reporting and analysis for the Finance department and other stakeholders.
Analyze internal data to identify opportunities for data products and create reporting solutions to meet business needs.
Drive the run-and-operate transformation initiative by providing an in-depth analysis of Verizon's financial data, including revenue, expenses, profitability, and customer trends.
Anticipate future business needs and build scalable solutions that address current and future data requirements.
Interpret complex business requests and translate them into actionable technical solutions.
Evaluate and provide feedback on reports and data visualizations.
Lead and execute reporting process automation using Qlik, ThoughtSpot, Looker, Knime, Alteryx, Google Workspace apps, Teradata, and BigQuery.
Establish and share best practices for building reports, dashboards, and visualizations, promoting a culture of self-service analytics with appropriate guardrails.
Collaborate with finance teams to understand their needs and create data automation and visualization solutions using a single source of truth.
Provide requirements to the data products team and translate cross-functional business requirements into data product requirements.
Stay current on industry trends and techniques to envision and implement innovative business intelligence solutions.
Participate in cross-functional project teams to identify and address reporting requirements.
Continuously identify opportunities to enhance data analysis, reporting efficiency, and methodology.
Collaborate with teams to establish clear goals and KPIs, execute tasks, and meet project deadlines.
Experience:
4+ years of relevant work experience in business intelligence, data analysis, and reporting.
2+ years of experience in Teradata.
1+ year of experience developing datasets on Qlik or ThoughtSpot platforms.
Experience in successfully driving large-scale adoption of self-service analytics platforms.
1+ year of experience supporting Analytics for Finance teams.
Knowledge of at least two: Knime, Alteryx, Python, Google Apps Script, and BigQuery.
Develop and maintain business intelligence solutions to support financial reporting and analysis for the Finance department and other stakeholders.
Analyze internal data to identify opportunities for data products and create reporting solutions to meet business needs.
Drive the run-and-operate transformation initiative by providing an in-depth analysis of Verizon's financial data, including revenue, expenses, profitability, and customer trends.
Anticipate future business needs and build scalable solutions that address current and future data requirements.
Interpret complex business requests and translate them into actionable technical solutions.
Evaluate and provide feedback on reports and data visualizations.
Lead and execute reporting process automation using Qlik, ThoughtSpot, Looker, Knime, Alteryx, Google Workspace apps, Teradata, and BigQuery.
Establish and share best practices for building reports, dashboards, and visualizations, promoting a culture of self-service analytics with appropriate guardrails.
Collaborate with finance teams to understand their needs and create data automation and visualization solutions using a single source of truth.
Provide requirements to the data products team and translate cross-functional business requirements into data product requirements.
Stay current on industry trends and techniques to envision and implement innovative business intelligence solutions.
Participate in cross-functional project teams to identify and address reporting requirements.
Continuously identify opportunities to enhance data analysis, reporting efficiency, and methodology.
Collaborate with teams to establish clear goals and KPIs, execute tasks, and meet project deadlines.
Experience:
4+ years of relevant work experience in business intelligence, data analysis, and reporting.
2+ years of experience in Teradata.
1+ year of experience developing datasets on Qlik or ThoughtSpot platforms.
Experience in successfully driving large-scale adoption of self-service analytics platforms.
1+ year of experience supporting Analytics for Finance teams.
Knowledge of at least two: Knime, Alteryx, Python, Google Apps Script, and BigQuery.