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Mid-level BI analyst role, popular title, metro location and broad skillset increase candidate competition.
BI and analytics skills are broadly transferable, though financial services domain preference raises moderate sensitivity.
Explicit 4–6 years plus mandatory SQL, Power BI, Python, and BI tool experience increases filtering rigor.
Translate business problems into scalable analytics solutions, including advanced dashboards and AI-enabled insights.
Collaborate with business and technology leaders to define KPIs, evaluate process bottlenecks, and improve revenue visibility, operational efficiency, and cost control.
Develop and maintain analytical tools and self-service BI solutions using SQL, Power BI, Python, and GenAI to deliver measurable business impact.
4-6 years of experience in business intelligence, analytics, data science, business analysis, or related field.
Graduate or Post-graduate degree in Business Management, Statistics, Economics, Technology, Finance, Data Analytics, or related field.
Proven hands-on experience with SQL, Power BI, Advanced Excel, Python, Salesforce CRM, and GenAI tools preferred.
Work Experience Required: 4-6 years in relevant analytics/business intelligence roles.
Experienced in partnering with business leaders to define KPIs, create business cases, and track analytics solution adoption with measurable impact.
Skilled in building advanced dashboards, reporting automation, and applying advanced analytics techniques like segmentation, forecasting, and anomaly detection.
Familiar with financial services or US Retirement industry data, and comfortable using cloud analytics platforms and automation tools.