Collaborate with business and operations teams to define, track, and maintain KPIs and KRIs that align with company-wide goals
Analyze large and complex datasets using SQL and Python to surface trends, flag risks, and recommend optimizations
Build and manage collaborative, self-serve dashboards and data applications using Hex to drive decision-making at all levels
Translate raw data into clear insights, reports, and visualizations that deliver business value and operational impact
Conduct root-cause and variance analysis on performance data to highlight key issues and opportunities
Develop and optimize ETL pipelines and support scalable data workflows using Snowflake and Python-based tooling
Ensure high data quality and governance through documentation, validation checks, and best practices
Act as a data translator between technical teams and business stakeholders, fostering a data-driven culture across the organization
Do you have the right ingredients*(Qualifications):
Bachelor s degree in a technical or analytical field (e.g., Data Science, Statistics, Computer Science, Engineering, Economics)
2-5 years of experience in a Data Analyst, BI Analyst, or similar analtics role
Strong proficiency in Python for data analysis, automation, and reporting (e.g., pandas, NumPy, seaborn, matplotlib)
Advanced SQL skills for querying large datasets across multiple sources
Hands-on experience with cloud data warehouses, particularly Snowflake
Experience building interactive, real-time dashboards in Hex or similar BI tools
Familiarity with Git and collaborative analytics workflows (e.g., version-controlled notebooks or analytics repos)
Strong ability to analyze and own data end-to-end slicing, interpreting, and bringing clarity to business and operational questions
High attention to detail and a strong sense of data accountability
Understanding and experience building credit risk management dashboards
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full time