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Volunteer Python Sql Tableau Jobs in Florida (NOW HIRING)

Kanak Elite Services Inc

Date Engineer

Tampa, FL · On-site

We currently use Microsoft tools like SSIS, but we want to go PYTHON for that. Duties ... Experience with dashboard visualization tools such as Tableau or QlikView. * Experience with ...

USAA

Marketing Enablement Analyst Senior

Tampa, FL

$96K - $119K/yr

Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). * Demonstrated ... volunteer hours, and various wellness programs. Additionally, our career path planning and ...

USAA

Marketing Enablement Analyst Senior

Tampa, FL

$96K - $119K/yr

Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). * Demonstrated ... volunteer hours, and various wellness programs. Additionally, our career path planning and ...

MUFG

AVP, Audit Execution Analytics

Tampa, FL · Hybrid

$106K - $130K/yr

Design, develop, and execute data analytics strategies to support audit activities using tools such as SQL, Python, Tableau, and the Microsoft Power Platform. * Support end-to-end audit engagements ...

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Volunteer Python Sql Tableau information

What jobs can I get if I know Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, business intelligence analyst, and backend developer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring familiarity with tools like Tableau for visualization and understanding of data structures.

What is the difference between Volunteer Python Sql Tableau vs Data Analyst?

AspectVolunteer Python Sql TableauData Analyst
Required SkillsPython, SQL, Tableau, basic data analysisPython, SQL, Tableau, statistical analysis
Work EnvironmentVolunteer projects, non-profit or community settingsCorporate, consulting, or organizational environments
CertificationsNone typically required, some data or Tableau certifications helpfulOften preferred certifications like Microsoft Data Analyst or Tableau Desktop Specialist

Volunteer Python Sql Tableau roles focus on applying technical skills in non-profit or community projects, often with less formal certification. Data Analysts work in professional settings, utilizing similar tools but with a broader emphasis on statistical analysis and business insights. Both roles require similar technical skills, but the context and expectations differ.

What are the key skills and qualifications needed to thrive as a volunteer specializing in Python, SQL, and Tableau, and why are they important?

To thrive in this role, you need a solid understanding of Python programming, SQL database management, and data visualization with Tableau, often demonstrated through relevant coursework or project experience. Familiarity with tools such as Jupyter Notebook, MySQL, and Tableau Desktop is common, and completing certifications like Tableau Desktop Specialist or relevant SQL/Python courses can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and present complex data clearly. These competencies are essential for transforming raw data into actionable insights, enabling organizations to make informed decisions.

Is Tableau in high demand?

Tableau is widely used in data visualization and business intelligence, and demand for Tableau skills remains strong across various industries. Professionals with Tableau expertise, along with knowledge of SQL and data analysis, are often sought after for roles involving data reporting and dashboard creation.

What is a volunteer Python SQL Tableau?

Volunteer Python SQL Tableau roles are volunteer positions where individuals use their skills in Python programming, SQL databases, and Tableau data visualization to support non-profit organizations or community projects. These volunteers help analyze data, create dashboards, and generate reports to aid decision-making or improve operations. They may work on tasks such as cleaning datasets, building analytics pipelines, or visualizing key metrics. This role is ideal for those looking to gain experience in data science while contributing to meaningful causes.

What types of projects do volunteer Python, SQL, and Tableau professionals typically work on, and how do they collaborate with nonprofit teams?

Volunteer professionals skilled in Python, SQL, and Tableau often contribute to projects like data cleaning, report automation, building dashboards, and analyzing program impact for nonprofits. They usually collaborate closely with program managers, data analysts, and IT staff to understand data requirements and deliver actionable insights. Communication is key, as volunteers must translate technical findings into clear recommendations for non-technical stakeholders. This role offers hands-on experience with real-world data challenges while making a meaningful impact, and successful collaboration often leads to expanded responsibilities or leadership opportunities within volunteer teams.

What jobs can I get after learning SQL and Tableau as a volunteer Python Sql Tableau?

With skills in SQL and Tableau, you can pursue roles such as data analyst, business intelligence analyst, or reporting specialist. These positions involve data visualization, data management, and analysis, often requiring familiarity with Python for automation and data processing. Certifications in Tableau and SQL can enhance job prospects in data-driven environments.
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Volunteer Python Sql Tableau jobs near you

Date Engineer

Kanak Elite Services Inc

Tampa, FL • On-site

Contractor

Re-posted 25 days ago

Job description

Hello There,

Wish you a Happy Friday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

TITLE – DATE ENGINEER

LOCATION – TAMPA, FL - ONSITE

DURATION – 6–12-MONTH CONTRACT TO HIRE

It’s better to think of this job as more Date Engineer and some Data Analyst.  Major focus is designing and implementing data pipelines for structured and unstructured data using Python.  We currently use Microsoft tools like SSIS, but we want to go PYTHON for that.

Duties & Responsibilities

Duties may vary based on assignment.

  • Design and develop BI solutions.
  • Gather user requirements, develop technical and functional requirements, produce reporting solutions, and document the design and development process, metadata, and business rules.
  • Model, implement, and maintain databases and data marts to support BI reporting.
  • Develop extract, transform, load (ETL) to support the loading of data into data marts.
  • Monitor the data quality of existing databases and data marts and recommend governance and control around self-service BI/Analytics considering the evolution of the BI Industry’s best practices.
  • Perform other related duties as required.

Knowledge & Abilities

  • Knowledge of building automated data validation and reconciliation checks to ensure data accuracy, integrity, and completeness.
  • Knowledge of designing data warehouses and data marts that support analytics, ML, and dashboard reporting.
  • Knowledge of dimensional modeling and star/snowflake schemas.
  • Basic understanding of secure coding principles and CJIS data protection guidelines.
  • Working knowledge of office policies and procedures.
  • Proficiency in C# or Python.
  • Proficient in writing optimized SQL queries, functions, and stored procedures for SQL Server and PostgreSQL.
  • Experience designing and maintaining ETL / ELT pipelines using frameworks such as Apache Airflow, DBT (Data Build Tool), or equivalent orchestration systems, with the ability to schedule, monitor, and recover complex multi-stage jobs.
  • Proficiency in cleaning, merging, and reshaping data using Pandas, Polars, or SQL..

Preferred Qualifications

  • Experience with dashboard visualization tools such as Tableau or QlikView.
  • Experience with programming experience in C Sharp (C#).
  • Experience with Agile software development lifecycle.
  • Knowledge of advanced data warehousing techniques.