Understanding of one or more data analysis tools and programming languages such as Python, R, SQL, etc. * Proficiency with Microsoft Office Suite, particularly Excel for data manipulation and ...
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Understanding of one or more data analysis tools and programming languages such as Python, R, SQL, etc. * Proficiency with Microsoft Office Suite, particularly Excel for data manipulation and ...
... 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 ...
... 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 ...
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Senior Data Engineer
New Orleans, LA · Remote
$101K - $138K/yr
Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python scripts to automate internal tasks. * Creating Power Automate and Power Apps workflows for internal ...
Senior Data Engineer
New Orleans, LA · Remote
$101K - $138K/yr
Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python scripts to automate internal tasks. * Creating Power Automate and Power Apps workflows for internal ...
TSS Data Analyst Senior
Bossier City, LA · Hybrid
$85K - $107K/yr
Experience with Python * Experience with leading/managing and mentoring a small team of Data Analysts in support of development initiatives * Strong Excel background; familiarity with other Microsoft ...
TSS Data Analyst Senior
Bossier City, LA · Hybrid
$85K - $107K/yr
Experience with Python * Experience with leading/managing and mentoring a small team of Data Analysts in support of development initiatives * Strong Excel background; familiarity with other Microsoft ...
Freelance Python Data Analysis information
What is freelance Python data analysis?
Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.
What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?
To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.
What are some common challenges freelance Python data analysts face when working with clients remotely?
Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
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Full-time
Posted 14 days ago
Job description
Position Title: Data Analytics Coordinator
Fulltime Exempt
Supervisor: Analytics and Research Manager | Healthcare Technology and Optimization Manager | HCCN Project Manager
Position Summary: The Data Analytics Coordinator at the Louisiana Primary Care Association (LPCA) is responsible for supporting comprehensive data analytics initiatives and research activities across LPCA's network of Federally Qualified Health Centers (FQHCs). This role leverages analytical tools and methodologies to extract meaningful insights from healthcare data, supporting evidence-based decision-making and quality improvement efforts. The Data Analytics Coordinator collaborates with cross-functional teams to ensure completeness and accuracy of reports for process improvement, research initiatives, and grant compliance, while supporting LPCA's mission to promote accessible, affordable, quality healthcare services for underserved populations.
Responsibilities:
- Collaborate with cross-functional teams to identify research objectives and key performance indicators (KPIs),
- Develop reports and organize data visuals to communicate findings to stakeholders,
- Assist in designing and executing research studies, including surveys, experiments, and observational studies,
- Stay up-to-date with industry trends and best practices in analytics and research methodology,
- Support the development and implementation of data-driven strategies to drive business growth and optimize performance,
- Perform ad-hoc analysis and provide actionable recommendations to stakeholders,
- Compile data and ensure validity from multiple assessments to develop profiles for each grant,
- Create surveys and coordinate administration of surveys,
- Query and translate data visually into tables, charts, graphs, and narrative presentations to produce user-friendly reports,
- Support compliance efforts company grants to protect the confidentiality and accuracy of data,
- Analyze, synthesize, and interpret reports for use in decision-making.
Requirements:
- Bachelor's degree. Minimum of 1-2 years of relevant experience in data analysis, research, project coordination, or administrative support, preferably in healthcare or government settings
- Experience with data collection methodologies and report preparation
- Understanding of one or more data analysis tools and programming languages such as Python, R, SQL, etc.
- Proficiency with Microsoft Office Suite, particularly Excel for data manipulation and analysis
- Experience with data aggregation and data visualization tools like Excel and Smartsheet
- Familiarity with population health tools like i2i and Azara (preferred)
- Knowledge of report writing and data presentation techniques
- Detail-oriented with a strong commitment to accuracy and quality,
- Ability to work independently and collaboratively in a fast-paced environment,
- Communicate effectively, verbally, and in writing.
About Louisiana Primary Care Association
Sourced by ZipRecruiter
Industry
Non-profits
Company size
11 - 50 Employees
Headquarters location
Baton Rouge, LA, US
Year founded
1982