2

Remote Data Analyst Python Jobs in Louisiana (NOW HIRING)

Overview The Data & AI Project Analyst serves as the field-facing connector between project teams ... remote work. This includes participation in key meetings and workgroup meetings at the jobsite.

Senior Data Engineer

New Orleans, LA ยท Remote

$101K - $138K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... SQL, R, Python, Emblem, Radar, etc. * Strong analytical and communication skills What would make us ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

... programs for data collection, engineering, and environmental applications #LI-Remote Skills ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...

next page

Showing results 1-20

Remote Data Analyst Python information

What is the salary of Python 2 years experience?

A remote data analyst with two years of Python experience typically earns between $60,000 and $80,000 annually, depending on location, industry, and skill level. Proficiency in data manipulation, visualization, and relevant tools like Pandas or SQL can influence salary ranges.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analyst positions.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a remote data analyst with skills in Python and data visualization remains valuable, as AI complements human expertise rather than replacing it entirely.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science; many professionals start or switch careers later in life. Success depends on acquiring relevant skills such as Python, SQL, and machine learning, along with practical experience and certifications. Employers value diverse backgrounds and experience, making 40 a reasonable age to pursue a data science career if you build your skills and portfolio.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (Python), and why are they important?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Data Analyst (SR-5269058-DA)

Data Analyst (SR-5269058-DA)

LMG Technology Services LLC

Baton Rouge, LA โ€ข Remote

Other

Re-posted 26 days ago


Job description

Remote - United States

I.ย ย DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Coordinate various data sources within an organization.
  • Perform data profiling and discovery.
  • Gather and interpret business requirements.
  • Create data documentation.
  • Perform data modeling and design.

II.ย ย CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

2

Required

Working on data migration or data integration projects with specific experience with cleaning data, running basic reports, and maintaining existing dashboards.

2

Required

SQL experience writing queries to extract data from relational databases.

2

Preferred

Programming languages commonly used for data analysis such as Python or R.

2

Preferred

Experience with data visualization tools such as Tableau, Power BI, or Looker.

2

Preferred

Working on a development team.

2

Preferred

Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM).

2

Preferred

Working in an Agile/Scrum environment.

Note: Expected Start Dateย 07/01/2026ย and Expected End Dateย 06/30/2029.

Hours worked should be within the State's core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State's core business hours in order to meet critical deadlines.