Data Analyst

Job not on LinkedIn

🕒 August 24

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BBI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

BBI is an award-winning global data and AI consultancy that engineers the data foundations powering enterprise analytics and AI. Headquartered in Schaumburg, Illinois, and operating with 600+ data professionals across the United States, Canada, and India, BBI delivers services including data integration, cloud migration, AI activation, platform operations, and data governance to large enterprises. The firm emphasizes senior engineers staying closely involved from day one, fast delivery with AI-driven accelerators, and building trusted, traceable, production-ready data and AI solutions for B2B clients in regulated industries such as financial services.

📋 Description

• Execute complex SQL queries across relational databases, data lakes, and warehouses to analyze data distribution, evaluate data quality, discover anomalies, and identify relational patterns • Design, author, and maintain granular Source-to-Target Mapping (STTM) documents covering business rules, field transformations, data types, key relationships, and data pipeline logic • Conduct mapping-document walkthroughs with ETL and data pipeline developers • Clarify edge cases, data constraints, and business intent for engineering implementation • Establish data quality metrics and define data validation rules • Collaborate with data governance leads to remediate discrepancies or gaps across financial datasets • Analyze wealth management data entities, including household relationships, investment portfolios, asset classes, custody positions, fee calculations, and trade histories • Communicate data insights, structural risks, and mapping dependencies to technical and non-technical stakeholders • Support QA and engineering teams during sprint cycles by validating transformed datasets with SQL validation scripts

🎯 Requirements

• 5+ years of hands-on experience as a Data Analyst, Data Modeler, or Technical Business Analyst in enterprise data environment initiatives • Proven mastery of complex SQL scripts, including multi-table JOINs, CTEs, window functions, subqueries, and analytical functions • Demonstrated experience creating explicit, comprehensive Source-to-Target Mappings (STTM) for ETL/ELT pipelines, reporting, or data warehouse migrations • Strong background identifying data anomalies, missingness, structural inconsistencies, and data integrity issues • Exceptional verbal and written communication skills • Experience leading technical specification reviews with software developers and architects • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Finance, or a related quantitative field

🏖️ Benefits

• Remote work arrangement