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Recognizable global bank, mid-level BI title, metro location and broad skillset increase applicant competition.
Core BI, SQL and visualization skills are transferable across industries, with moderate banking domain preference.
Explicit multiple years requirements and mandatory BI, SQL and Power BI/Tableau skills raise shortlisting strictness.
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Lead and contribute to moderately complex Business Intelligence initiatives including planning and delivering actionable insights via dashboards and reports.
Analyze and resolve data-related challenges independently and guide teams to meet BI deliverables that influence decision-making and strategy.
Collaborate with business and technology partners to design semantic data models, develop AI/ML-enabled BI solutions, and drive adoption of data-driven decision-making tools.
At least 4 years of business intelligence and data visualization experience (work experience explicitly stated).
6+ years experience in reporting, analytics, or modeling using tools like Tableau, Power BI, SQL, Python, or a Master’s degree or higher in quantitative field (applied math, statistics, engineering, computer sciences).
5+ years of experience specifically in SQL, ETL, BI, and PowerBI/Tableau programming.
Proficiency in BI tools (Power BI, Tableau), semantic data modeling, data cleansing and transformation using tools like Alteryx, SSMS, and experience with Oracle, Teradata, SQL Server, HDFS, or GCP data environments.
Experienced in leading moderately complex BI and analytics projects with measurable impact on business decision-making, including mentoring junior staff and managing teams.
Strong technical skills including advanced use of Power BI (complex DAX, embedded Power Apps/Automate, Copilot), Tableau, semantic data modeling, and ability to integrate AI/ML features into BI solutions.
Ability to translate complex analytical and AI/ML model outputs into clear, actionable insights for business stakeholders, combining technical expertise with consultative communication skills.