Anblicks

Sr. Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Analyst in Richardson, TX, on a 12-month contract, offering a pay rate of "unknown." Candidates must have 6+ years of experience, strong SQL, Snowflake, PostgreSQL, Power BI skills, and experience with Enterprise Data Platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Richardson, TX
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🧠 - Skills detailed
#NumPy #Snowflake #Data Analysis #Python #Leadership #PostgreSQL #BI (Business Intelligence) #SQL Queries #"ETL (Extract #Transform #Load)" #Scala #Microsoft Power BI #Pandas #Data Governance #Libraries #Datasets #DAX #Data Modeling #SQL (Structured Query Language)
Role description
Position: Sr. Data Analyst Location: Richardson, TX - hybrid 12 months contract We are looking for a highly skilled Senior Data Analyst with 6+ years of experience in data analysis, SQL, and business intelligence, with strong expertise in Snowflake, PostgreSQL, Power BI, and Enterprise Data Platforms (EDP) . Responsibilities: Collaborate with executive leadership and business stakeholders to gather requirements and translate them into data-driven solution Perform in-depth data analysis to identify trends, patterns, and actionable insights Develop and optimize complex SQL queries using Snowflake and PostgreSQL Design and build interactive dashboards and reports using Power BI (PBI) Develop data models, DAX calculations, and optimized datasets in Power BI Work within an Enterprise Data Platform (EDP) to ensure scalable, governed, and high-quality data solutions Required Skills: 6+ years of experience in Data Analytics / Business Intelligence Strong expertise in SQL (advanced level) Snowflake PostgreSQL Hands-on experience with Power BI (PBI) Dashboard & report development Data modeling DAX and performance tuning Experience working with Enterprise Data Platforms (EDP) and large-scale data ecosystems Proficiency in Python (Pandas, NumPy, data analysis libraries) Experience partnering with executive leadership teams Strong knowledge of data warehousing, ETL/ELT processes, and data governance