Role Overview

The Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data and business strategy by translating questions into actionable insights and establishing analytical best practices.

Key Responsibilities

• Lead complex analyses to support strategic and operational decisions

• Develop and maintain dashboards, reports, and analytical models

• Identify trends, risks, and opportunities using quantitative and qualitative data

• Define and standardize KPIs, metrics, and reporting frameworks

• Partner with business leaders to frame problems and recommend solutions

• Review and improve analytical work for accuracy and clarity

• Mentor junior analysts and support skill development

• Improve data quality, documentation, and analytical processes

Qualifications

• Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)

• 5+ years of experience in analytics or data-focused roles

• Advanced SQL and strong proficiency in Excel or similar tools

• Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)

• Strong analytical reasoning and problem-solving skills

• Ability to clearly communicate insights to technical and non-technical audiences

Preferred Experience

• Experience with Python or R for analysis

• Knowledge of statistical methods and experimentation

• Familiarity with data modeling or data engineering concepts

• Domain expertise (e.g., finance, HR, operations, product analytics)