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Live In Data Analyst Developer Jobs in Florida (NOW HIRING)

Job Title: Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an ... Data engineer: ETL process, data warehouse, Snowflake. Wide experience in collaboration with ...

Experience with Python, R, or other analytical programming languages * Background in supply chain ... data points * Self-starter who proactively identifies opportunities and presents solutions

DATA ANALYST - 48001093 Pay Plan: Career Service Position Number: 48001093 Salary: $60,000 - $65 ... Proficiency in one or more programming languages (e.g., SQL, SAS, Python, R) * Proficiency in one ...

The successful candidate will be instrumental in transforming complex data sets into meaningful ... Proficiency with reporting packages, databases, programming languages (e.g., XML, Javascript, or ET ...

Data Analyst (TS/SCI)

Tampa, FL · On-site

$90 - $120/hr

Proficiency in data visualization tools such as Tableau, Microsoft Power BI, or equivalent platforms. * Working knowledge of at least one analytical programming language (Python, R, or similar)

Data Analyst

Orlando, FL · On-site

$70 - $100/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Information Management, or a related field. * Preferred Qualification: Master's degree in Data Science, Business Analytics, or a ...

Proven experience in data analysis, analytics engineering, data operations, or data quality roles. * Good understanding of data quality principles and how poor data impacts downstream systems.

Partner with engineering and product teams to resolve data issues and enforce standards ... Qualifications: * 3-5 years of experience in data analysis, data governance, or data stewardship

Partner with engineering and product teams to resolve data issues and enforce standards ... Qualifications: * 3-5 years of experience in data analysis, data governance, or data stewardship

... Analytics Proven expertise in campaign performance analysis customer segmentation attribution modeling and ROI tracking Experience working with MDW Marketing Data Warehouse and enterprise data models ...

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Live In Data Analyst Developer information

What is the difference between Live In Data Analyst Developer vs Live In Data Scientist?

AspectLive In Data Analyst DeveloperLive In Data Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; programming skills in SQL, Python, or RBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentCollaborative teams in tech or finance sectors, often client-facingResearch-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data analysis and development in live environmentsUsed for advanced data modeling, predictive analytics, and research

The main difference is that Live In Data Analyst Developers focus on developing and maintaining data analysis tools in live settings, combining coding with analysis. Live In Data Scientists typically perform more advanced statistical modeling and predictive analytics, often in research or strategic roles. Both roles require strong technical skills, but Data Scientist roles tend to involve more complex statistical work.

What cities in Florida are hiring for Live In Data Analyst Developer jobs?

Cities in Florida with the most Live In Data Analyst Developer job openings:

Full-time

Re-posted 23 days ago


Job description

Job Title: Data analyst
Location: Onsite
Long Term Contract
Job Summary:
We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong skills in Data Analysis and visualization. Please would you submit your rates with some CVs for potential candidates?
Below you can see the details of the profile we are looking for:
Business analyst skills: work statistical indicators, metric, ratios, etc. for business needs.
Data analyst with data flow experience, design-design and build data models from data sources to front- end-extract, clean and transform data sources. Experience in analysis using multiple data sources (ERP, CRM, SQL, APIs, etc.).
Financial data experience.
Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max functionalities).
Power Apps & Power Automate: Design and implementation of customized tools for the business.
Data engineer: ETL process, data warehouse, Snowflake.
Wide experience in collaboration with business partners for collection of new requirements and translation into technical solutions.
Bachelor's degree in computer science, mathematics, or statistics preferred.
Proactiveness.