Lead data-driven decision-making by developing SQL, Excel, and QlikSense dashboards while integrating AI tools to optimize business operations. Validate AI-generated insights, build data pipelines, and collaborate cross-functionally to enhance strategic decision-making. Requires 3+ years of BI/engineering experience, advanced SQL, and expertise in predictive analytics and machine learning pipelines.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
As our Business Intelligence Analyst, you will turn raw data into the decisions that move AWL forward โ aggregating, analyzing, and translating information into insights leaders can act on. You will work across the full modern analyst's toolkit, from SQL, Excel, and QlikSense dashboards to emerging AI tools, always pairing that speed with the judgment to know when a result is right. Data sits at the core of every decision we make, and you will partner closely with executives, stakeholders, engineers, and fellow analysts to sharpen how the business runs. We work to foster a fast paced, fun, highly collaborative environment where results are both expected and rewarded.
Fully remote opportunity in TX.
Responsibilities
~1 min read
- โDevelop and utilize internal tools, SQL, Excel & QlikSense dashboards that will drive core business decisions.
- โLeverage AI-assisted analytics tools and natural language querying to accelerate data exploration and reporting.
- โValidate the correctness and accuracy of internal and external report data, including insights and queries generated by AI, before they reach stakeholders.
- โProvide situation-specific analyses to support business critical decisions.
- โUse AI to help build and maintain data ingestion pipelines, and continually optimize our internal data systems and analysis infrastructure.
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~1 min read
- Bachelor's degree, ideally in engineering, finance, accounting, statistics, economics, math, or related field.
- 3+ years' experience as a business intelligence analyst, software engineer, or database application developer.
- Strong analytical skill set for translating business requirements into reports, grounded in a solid knowledge of economics and statistics.
- Ability to think strategically and to relate data to strategic decisions.
- 5+ years' experience with Microsoft Excel; expert-level formula and pivot table development.
- Intermediate to Expert level SQL skills.
- Comfort writing clear, structured prompts to extract and validate analysis from AI tools.
- Intellectual curiosity and a drive to optimize โ a genuine passion for using data and technology to explore and solve problems, and to understand what makes things tick.
- Statistics background / Predictive analytics.
- Experience building or maintaining machine learning pipelines, especially in Databricks.
- Familiarity with prompt evaluation and spotting where AI-generated queries go wrong.
- Experience with scripting languages / light programming.
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