What are the responsibilities and job description for the Business Intelligence Developer - II position at Inabia Software & Consulting Inc.?
Job Details
JOB DESCRIPTION:
Overview:
We are looking for a highly motivated and results-oriented Business Intelligence Developer to join our team. This individual will be vital in leveraging data to drive strategic decisions and automate financial reporting processes. The ideal candidate will have a strong understanding of business intelligence, data analysis, automation, and visualization and experience developing and implementing reporting solutions using tools like Qlik, ThoughtSpot, Looker, Gemini, Google Sheets, Knime, and Alteryx.
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, Gemini, 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.
Youll need to have:
Education: Bachelor's degree in Finance, Computer Science, Data Science, Statistics, or a related field (preferred).
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.
Technical Skills:
Strong proficiency in SQL, Teradata, and BigQuery.
Experience with data visualization tools like Qlik, ThoughtSpot, Looker, Tableau, Google Sheets, or Power BI.
Knowledge of data modeling, data warehousing, and ETL processes.
Familiarity with scripting languages like Python or Google Apps Script.
Experience with Knime or Alteryx.
Additional Skills:
Excellent analytical and problem-solving skills.
Strong communication and presentation skills.
Ability to work independently and as part of a team.
Experience in the telecommunications industry is a plus.
Even better if you have:
Master's degree in Finance or a data-related discipline.
Expert understanding of Business Intelligence and associated disciplines.
Understanding all facets of data, including data engineering, data products, analysis, visualization, predictive analytics, and prescriptive analytics.
Experience working in a modern Data Warehouse using current technologies and services.
Demonstrate advanced knowledge and understanding of Telecommunication data sets - Wireline, Wireless & Network data set.
Proven experience driving change and achieving results in a fast-paced environment.
Proactive problem-solving capabilities.
Knowledge of advanced technology concepts like Teradata, Big Data, Hadoop, Hive, Cloud, etc.
