Overview
The Senior Data Analyst is a highly analytical and business‑savvy individual contributor who acts as an internal expert and strategic partner to various business units.
Responsibilities
- Business Problem Framing & Solution Definition: Proactively engage with business stakeholders (Marketing, Sales, Product, Operations, Finance) to understand objectives, challenges, and data needs; translate vague questions into clear, measurable analytical problems and hypotheses; scope and define projects, outline objectives, deliverables, timelines and required resources; recommend appropriate analytical approaches and methodologies.
- Data Analysis & Insight Generation: Conduct in‑depth data analysis using a variety of tools and techniques to uncover trends, patterns and insights; craft compelling narratives; present findings in a clear, concise and actionable manner to diverse audiences; utilize advanced analytical techniques such as statistical analysis, A/B testing design, segmentation.
- Stakeholder Engagement & Relationship Management: Build strong, trusted relationships with business leaders and team members; facilitate workshops and discussions to gather requirements and validate outputs; champion data‑driven decision‑making and enhance data literacy; manage expectations and communicate progress, challenges and outcomes.
- Tooling & Best Practices: Stay abreast of industry trends and new analytical tools; advise on selection and effective use of analytics and AI tools (BI platforms, statistical software, AI models); contribute to continuous improvement of analytical processes and best practices within the Data & Analytics department.
Education & Experience
- Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field.
- Master's degree preferred.
- 3+ years of experience in an analytical role such as Senior or Lead Data Analyst, Senior or Lead Business Analyst, or Data Scientist with strong stakeholder engagement and solution delivery.
Skills / Knowledge / Abilities
- Translate complex business problems into analytical requirements and deliver actionable insights.
- Strong proficiency in SQL for data extraction, manipulation and analysis.
- Experience with scripting languages for data analysis (Python, R).
- Experience with data visualization and dashboarding in Looker.
- Familiarity with AI agents and their role in delivering data analysis to non-technical stakeholders.
- Demonstrated experience with statistical analysis and data interpretation.
- Excellent communication, presentation and storytelling skills; ability to articulate complex insights to non‑technical audiences.
- Strong project management skills; ability to manage multiple priorities and deadlines.
- Self‑starter with a proactive approach to identifying and solving business problems.
- Enjoy working collaboratively with other data analysts and internal stakeholders.
- Preferred: Familiarity with GCP cloud data platforms and data warehousing concepts.
- Experience with A/B testing design and analysis.
- Experience with building and tuning custom AI models for analytics and reporting.
- Previous experience in a consulting role (internal or external).
Benefits
- Free internet.
- Discounts on other ALLO services.
- 401(k) match up to 5%.
- Health and wellness program with quarterly challenges and direct deposits to health savings accounts.
- Medical, vision and dental coverage with low employee costs.
- Earned Time Off (ETO) program.
- Tuition assistance for continuous learning.
- Philanthropic sponsorships and support for local fundraisers.
EEO Statement
ALLO is an Equal Opportunity Employer. We are committed to providing opportunities to all applicants and associates without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law.