Senior Data Analyst

We are seeking a highly skilled Senior Data Analyst with at least 4 years of hands-on analytics experience supported by a Master's degree in Analytics, Data Science, Statistics, or a related quantitative discipline to join our team. This role sits at the intersection of data, strategy, and business performance. The Senior Analyst will partner closely with business leaders to interpret data, track performance, and tell clear stories that support strategic decision-making. The ideal candidate can analyze complex business problems, identify meaningful trends and performance drivers, and translate analytical findings into practical recommendations that support business decision-making.

Responsibilities

Apply advanced analytical methodologies to evaluate business performance, identify risks and opportunities, uncover root causes, and provide actionable recommendations; Partner with business leaders to define key business questions, evaluate strategic initiatives, and prioritize analytical opportunities; Evaluate and recommend enhancements to data assets, metrics, and analytical capabilities; Define KPI frameworks, reporting requirements, and dashboard design; Evaluate analytical outputs, identify discrepancies, validate data integrity, assess calculation logic, and recommend corrective actions; Develop presentations, reports, and narrative documents that translate complex analytical results into actionable business stories; Drive adoption of data-driven decision-making across the organization; Work closely with the Data Operations team to translate business needs into reporting solutions

Requirements

At least 4 years of hands-on analytics experience; Master's degree in Analytics, Data Science, Statistics, or a related quantitative discipline; Advanced proficiency in SQL for data querying, transformation, and manipulation; Proficiency in Python for data analysis; Proficiency in Excel and PowerBI for reporting/visualization; Experience with Databricks or similar distributed computing/cloud platform; Deep expertise in statistical analysis, trend and variance analysis, segmentation, and translating data into actionable business recommendations; Excellent verbal and written communication skills with the ability to present complex data and model concepts clearly to executive leadership; Ability to thoroughly validate data, analyses, and reporting outputs; Demonstrated ability to manage relationships with multiple stakeholders and navigate competing priorities