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Remote Data Analyst Python Jobs in Jacksonville, FL

Senior Data Engineer

Jacksonville, FL · Remote

$98K - $133K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... Python-based pipelines. * Deep understanding of: * Data warehousing and analytics engineering ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... analytics, and business applications using SQL, Informatica, IICS, Snowflake, and Python. * Data ...

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

Senior HR Business Analyst

Jacksonville, FL · On-site +1

$83K - $107K/yr

Experience with SQL or Python for data analysis * Professional certifications such as SHRM-CP, PHR ... Hybrid #LI-Remote An Equal Opportunity Employer. All qualified applicants will receive ...

New

Senior HR Business Analyst

Jacksonville, FL · On-site +1

$83K - $107K/yr

Experience with SQL or Python for data analysis * Professional certifications such as SHRM-CP, PHR ... Hybrid #LI-Remote An Equal Opportunity Employer. All qualified applicants will receive ...

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Accounts Receivable Analyst

Jacksonville, FL · Remote

$22.25 - $28.25/hr

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

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Remote Data Analyst Python information

See Jacksonville, FL salary details

$31.5K

$76.6K

$126K

How much do remote data analyst python jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data analyst python in Jacksonville, FL is $76,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 per year, depending on experience, location, and employer.

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.

What cities near Jacksonville, FL are hiring for Remote Data Analyst Python jobs? Cities near Jacksonville, FL with the most Remote Data Analyst Python job openings:

Data Analyst, Private Markets

Canoe Intelligence

Jacksonville, FL • On-site, Remote

$70K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Analyst, Private Markets

LOCATION: Hybrid in New York City or Jacksonville

SALARY: $70,000 - $110,000 base salary + bonus (based on New York, will be adjusted for geo)

The Role:

You are an operations professional eager to grow your career at the intersection of private markets and cutting-edge AI. As a member of our Asset Data Team, you will apply your expertise in private market asset data to build, define, and execute on our product and service offering—while supporting day-to-day operations, ensuring data quality, and tackling the operational complexity of the private markets ecosystem.

You will work alongside team members to manage delivery through our onshore and offshore teams, contribute to the accuracy and efficiency of our platform, and partner closely with Asset Data leadership and Product Managers to help shape the future product roadmap. This is an exciting opportunity to develop deep subject matter expertise in underlying asset data, own core functionality, and drive meaningful improvements across service delivery and ongoing operations.

What You’ll Do:

Operational Support & Workflow Management:

  • Support Asset Data Processing Workflows: Assist in the intake, review, and processing of asset-level data—including cost basis, valuations, and operating metrics—ensuring data moves through the pipeline accurately and on time.

  • Monitor & Triage Exceptions: Review automated outputs, identify processing exceptions or anomalies, and escalate or resolve issues in coordination with senior operations staff.

  • Deliver Quality: Reconcile extraction data against source documents, manage conflicting data points, and maintain high standards across all client deliverables.

Subject Matter Expertise & Data Quality:

  • Be an SME: Be the go-to individual within Canoe's Asset Data team for underlying asset data points—including cost basis, valuations, and operating metrics—and support the manipulation and enrichment of such data.

  • Own Quality: Take charge of ensuring the highest standard of output for our asset data product offering, including standardizing asset-level data points across the platform.

  • Advocate for Standards: Champion best practices, perform quality checks, and drive consistency across the team to foster a culture of excellence.

  • Derive Insights: Perform analysis on data trends to inform our product and service offering, and flag patterns that can inform process improvements or automation opportunities.

Process Improvement & Product Development:

  • Continuous Improvement: Identify technology and process improvements to efficiently and effectively process asset data, and assist in refining operating procedures.

  • Document Operational Logic: Help capture and organize process notes, workflow rules, and exception-handling procedures to be shared across operations and product teams.

  • Cross-Functional Coordination: Work closely with Data, Product, and Engineering teams to communicate operational needs, contribute to asset data product roadmap discussions, and flag issues that require systemic fixes.

Collaboration & Client Support:

  • Manage Offshore Coordination: Support delivery through onshore and offshore team structures, ensuring asset data work is executed accurately and on schedule.

  • Client-Adjacent Support: Assist client-facing team members by preparing operational summaries and asset data quality reports that support client communications and onboarding.

What We’re Looking For:

  • Experience: 4+ years of experience in fund operations, fund administration, private market data, or a related financial services role. Internship experience in relevant fields will be considered.

  • Domain Knowledge: Strong familiarity with asset-level data points including, but not limited to, cost basis, valuations, and operating metrics, as well as capital calls, distributions, and fund financial statements.

  • Operational Mindset: Process-oriented and organized, with a proven ability to self-manage in a remote or hybrid work setting and balance individual focus with team collaboration.

  • Attention to Detail: You take accuracy seriously and understand that clean, reliable data is the foundation of everything we do.

  • Communication Skills: Strong communication, presentation, and interpersonal skills with the ability to work effectively across teams and time zones.

  • Comfort with Ambiguity: Comfortable navigating complex, fast-paced environments and uncovering answers to open-ended product and operational questions.

  • Technical Comfort: Comfortable working with structured data in Excel or similar tools. Exposure to SQL or data platforms is a bonus, but not required.

What You’ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First —> Listen, and deliver client-centric solutions

  • Be An Owner —> Take initiative, improve situations, drive positive outcomes

  • Excellence —> Always set the highest standard for yourself and others

  • Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.