Optomi

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position for a finance company, offering a contract length of "X months" at a pay rate of "$X/hour." Key skills include dbt, Python (Pandas), SQL, and advanced Excel proficiency. Experience in data transformation and analysis is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
360
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πŸ—“οΈ - Date
April 29, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Datasets #Data Cleaning #dbt (data build tool) #Scala #Data Manipulation #Data Engineering #Data Accuracy #Data Analysis #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Python #Data Access #SQL Queries #Pandas
Role description
Job Description: Optomi, in partnership with a finance company, is seeking a Data Analyst to support the modernization of our reporting and data processes. This role is ideal for someone who enjoys working with complex, Excel-based datasets and transforming them into structured, scalable solutions. Job Qualifications: β€’ Experience with dbt or similar data transformation tools β€’ Experience using Python (Pandas) for data manipulation β€’ Strong proficiency in SQL β€’ Advanced Excel skills, including experience working with large, complex workbooks β€’ Experience analyzing and transforming data from multiple sources β€’ Strong analytical and problem-solving skills β€’ Ability to gather and translate business requirements into data solutions β€’ Strong communication skills and ability to work with non-technical stakeholders Job Responsibilities: β€’ Work directly with stakeholders to understand the purpose, logic, and business use of complex Excel-based reports β€’ Analyze and deconstruct large Excel workbooks that consolidate data from multiple sources β€’ Transform raw and unstructured data into clean, structured datasets for reporting β€’ Write SQL queries to extract, manipulate, and organize data into usable formats β€’ Use dbt to help build and maintain data models for reporting β€’ Leverage Python (Pandas) as needed for data cleaning, transformation, and analysis β€’ Support the transition from manual Excel processes to automated, scalable data workflows β€’ Validate data accuracy and ensure consistency across reporting outputs β€’ Collaborate with data engineers and business teams to improve data accessibility and usability