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Business Analyst Sql R Python Jobs in Florida (NOW HIRING)

Slide Insurance

Insurance Pricing Actuary

Tampa, FL · On-site

Proficiency in actuarial and data tools (SQL, R, Python, SAS, Radar, Emblem, Excel) * Familiarity ... Strong analytical skills with the ability to explain insights clearly and confidently

TECO Peoples Gas

Business Intelligence Analyst

Tampa, FL · On-site

The Business Intelligence Analyst Sr is responsible for driving enterprise-level BI solutions and ... Python, R. Preferred : • Advanced degree in related field. • Intermediate knowledge of SQL, VBA ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

subway

Business Analyst

Miami, FL

$69.40K - $86.80K/yr

Extensive knowledge of SQL, Alteryx or R preferred. * Experience applying statistical techniques such as regression, ANOVA, cluster analyssis, factor analysis, time business problems. * Understanding ...

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Business Analyst Sql R Python information

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.
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Business Analyst Sql R Python jobs near you
Senior SQL Analyst

Senior SQL Analyst

Health Business Solutions LLC

Cooper City, FL

$80.60K - $106.70K/yr

Full-time

Posted 14 days ago

Job description

At HBS the data analytics team strives to be transformative leaders that support our internal and external stakeholders in maximizing their potential and carrying value forward into the healthcare system and people’s everyday lives. This means understanding and valuing the impact of our work, upholding a commitment to excellence of ourselves and team, striving together, and bringing and finding joy in our work.

A successful candidate in this role will efficiently facilitate the flow of information to stakeholders and contribute to data curation and maintenance using SQL and business intelligence best practices. This includes building reports, ad hoc queries, analytics, contributing to the enterprise data warehouse and data marts, conducting stakeholder interviews, creating business requirements documents, QA testing, and collaborating with other data analysts and engineers.

Responsibilities:

  • Build and grow a deep understanding of the business needs, processes, and functions to effectively contribute to stakeholder conversations and work with a certain degree of autonomy.
  • Actively contribute to the development and implementation of data marts, enterprise data warehouse, reports, analytics, and other data solutions by writing SQL scripts for ETL, reports, error handling, and QA.
  • Complete ad hoc requests and analytics in a timely manner and accurately; correctly qualify requests through questioning and identify a reference point and/or test cases to validate. May be done using SQL, Excel, PowerBI, or other sources as appropriate.
  • Build reports and dashboards for ongoing use in Power BI. Gather user requirements and business case, create documentation and definitions, write SQL queries and DAX statements if needed, adhere to design standards, and publish well thought out and vetted dashboards that have good adoption and business value.
  • Review client and internal data for accuracy and completeness, raise data quality issues to the team, help manage, communicate, and resolve the issue log.
  • Clearly document data transformations and cleansing business rules.
  • Support new client or new product onboarding ETL testing and building.
  • Support internal system or process changing, working with stakeholders to maintain data integrity during change.
  • Comply with all security and privacy requirements.
  • Continuously research and stay current on data trends, technologies, and best practices, identifying opportunities for improvement.

Qualifications:

  • 5 years proven experience as a Data Analyst, Business Analyst, SQL Developer, or similar role.
  • Strong knowledge of business intelligence practices such as business requirements documentation, ETL, data normalization, star schema, and quality assurance.
  • Proficiency in SQL and PowerBI.
  • Healthcare revenue cycle or claims experience is strongly preferred.
  • Excellent analytical and problem-solving skills, and attention to detail.
  • Strong communication skills, both written and verbal.

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