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Excel Csv Python Data Analysis Jobs (NOW HIRING)

Python Data Engineer Introduction We are looking for a talented and motivated Python Data Engineer ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

... in Python, data science libraries, and visualization/BI tools to lead advanced analytics ... Work with data in a variety of formats including Excel, CSV, JSON, and XML. * Support the incident ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

... in Python, data science libraries, and visualization/BI tools to lead advanced analytics ... Work with data in a variety of formats including Excel, CSV, JSON, and XML. * Support the incident ...

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ...

Perform data validation and quality checks using SQL and Python * Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights * Analyze data structures, relationships, and ...

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

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Excel Csv Python Data Analysis information

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How much do excel csv python data analysis jobs pay per year?

As of Jul 12, 2026, the average yearly pay for excel csv python data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
Senior Finance Data Engineer / Data Analyst

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 13 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools

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