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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst (P-174) - **Company:** SMASHFLOW LLC - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $125,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Big Data, Cloud Database, Data Validation, Information Engineering, Data Infrastructure, Data Profiling, Data Structures, Data Warehousing, Document-Oriented Databases, Apache Hive, Python (Programming Language), Cloud Services, SQL Databases, Technical Data Management Systems, Data Processing, Freeform SQL, Apache Spark, Microsoft Fabric, Data Lakes, Pyspark - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/jobad/us244eabbd6df606630bb67b0762a57a74 ## About the Role We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments. The ideal candidate will bring hands-on expertise with SQL, Python, Spark, Spark SQL, PySpark, and Microsoft Azure and will be comfortable working with complex datasets and technical data workflows. Experience with Microsoft Fabric and within the Pharmaceutical, Life Sciences, or Insurance industries will be highly valued., * 5-6+ years of experience working on technical Data Analyst or closely related data projects. * Strong hands-on SQL experience. * Strong hands-on Python experience for data analysis and processing. * Experience with Apache Spark. * Strong experience with Spark SQL. * Hands-on experience with PySpark. * Experience working within Microsoft Azure data environments. * Experience analyzing and transforming large and complex datasets. * Strong understanding of data structures, data quality, and data validation. * Strong analytical and problem-solving skills. * Ability to independently investigate technical data issues and drive them toward resolution. * Strong communication skills and ability to collaborate across technical and business teams. Nice-to-haves (optional) * Hands-on experience with Microsoft Fabric - strongly preferred. * Pharmaceutical industry experience. * Life Sciences industry experience. * Insurance industry experience. * Experience working with enterprise-scale cloud data platforms. * Exposure to modern data engineering, data lake, or data warehouse architectures. Languages * English C1 * Spanish C1 Powered by JazzHR ## Description * Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable insights. * Develop advanced SQL queries to extract, transform, validate, and analyze data. * Use Python and PySpark for data processing, transformation, automation, and analysis. * Work with Apache Spark and Spark SQL to process and analyze large datasets efficiently. * Support data analysis initiatives within Microsoft Azure environments. * Collaborate with technical and business stakeholders to understand data requirements and translate them into analytical solutions. * Perform data profiling, validation, reconciliation, and quality analysis to ensure accuracy and consistency. * Investigate data issues and perform root-cause analysis across datasets and data workflows. * Support the development and improvement of scalable data processes and analytical solutions. * Document data requirements, business rules, analytical findings, and technical processes. * Communicate technical findings clearly to both technical and non-technical stakeholders. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)