Data Analyst

Role Overview

The Data Analyst is an analytical and business-savvy individual contributor who partners with assigned business units to turn data into decisions. This role independently delivers routine to moderately complex analysis, dashboards, and reporting, working closely with stakeholders to understand their questions and translate them into clear, actionable outputs.

What You Will Do

Conduct data analysis using SQL and BigQuery to identify trends, patterns, and insights relevant to assigned business units. Build and maintain dashboards and recurring reporting in Looker that stakeholders can act on.

Why It Might Be a Fit

The Data Analyst collaborates with senior analysts, data scientists, and data engineers on larger initiatives, and is expected to build growing fluency in the Google suite of tools (BigQuery, Looker) to deliver trusted, scalable data products.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field.
• 2+ years of experience in an analytical role, such as a Data Analyst, Business Analyst, or similar data-focused position.
• Working proficiency in SQL for data extraction, manipulation, and analysis.
• Experience building dashboards and reports in Looker or a similar BI tool.
• Familiarity with a scripting language for data analysis (e.g., Python, R).
• Clear written and verbal communication skills, with the ability to present findings to non-technical audiences.
• Solid organizational skills, with the ability to manage multiple recurring deliverables and deadlines.
• Self-starter who is eager to learn and grow technical and business skill sets.
• Desire to be a team-player whether partnering with other data analysts or working with internal stakeholders.
• Ability to tell a story by using in-depth data analysis tools and techniques

Benefits

• Free internet
• Discounts on other ALLO services
• Retirement Plan (401(k) matching up to 5%)
• Health and Wellness program
• Medical, vision, and dental insurance with low employee costs
• Earned Time Off (ETO) program
• Tuition Assistance
• Sponsorships for local fundraisers or philanthropy

Tagged as: Data Analysis