Crossing Hurdles

Data Analyst (Python, PL/SQL) | $80/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst (Python, PL/SQL) contract position offering $30 - $80/hr for 10-40 hrs/week, remote. Requires a Bachelor’s degree, 3+ years of experience, and proficiency in Python and PL/SQL, with strong communication skills.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
May 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Data Cleaning #Data Science #Computer Science #Data Extraction #Datasets #Data Analysis #Scripting #Automation #Data Integrity #SQL Queries #Python #Visualization #Statistics #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language)
Role description
Position: Data Analyst (Python, PL/SQL) Type: Contract Compensation: $30 - $80/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Analyze large datasets to uncover trends, patterns, and actionable insights that support business objectives. • Develop, optimize, and maintain advanced PL/SQL queries to extract and manipulate data efficiently. • Utilize Python scripting for automation, data cleaning, and advanced statistical analysis. • Craft comprehensive data reports and visualizations to communicate findings clearly to stakeholders. • Collaborate cross-functionally with remote teams to define data requirements and deliver data-driven solutions. • Ensure data integrity and consistency across multiple sources and systems. Requirements • Have a Bachelor s degree in Computer Science, Data Science, Statistics, or a related field. • Have 3- of professional experience as a Data Analyst or in a similar analytical role. • Be proficient in Python for data analysis, automation, and scripting tasks. • Possess expert-level skills in PL/SQL for data extraction, transformation, and manipulation. • Have exceptional written and verbal communication skills to convey complex insights to both technical and non-technical audiences. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage