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Director Data Analyst R Programming Jobs in New York

Assistant Director, Data Analytics Reporting to the Senior Director, Data Analytics, the Assistant ... Experience and comfort with SQL, R, and programming languages used for data analysis; and Power BI ...

Data Analyst

Manhattan, NY · On-site

$1.0K - $2.0K/yr

Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and ...

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical ... R ESPONSIBILITIES * Own the dbt project: model architecture, testing standards, documentation, and ...

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical ... R ESPONSIBILITIES * Own the dbt project: model architecture, testing standards, documentation, and ...

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical ... R ESPONSIBILITIES * Own the dbt project: model architecture, testing standards, documentation, and ...

Partner with a cross-functional team of data scientists, software engineers, and product managers ... At least 5 years of experience in Python, Scala, or R for large scale data analysis * At least 5 ...

Collaborate closely with peers across the engineering, analytics engineering, and data science ... Direct experience in the D2C Fintech domain is preferred. * Experience managing distributed or ...

Collaborate closely with peers across the engineering, analytics engineering, and data science ... Direct experience in the D2C Fintech domain is preferred. * Experience managing distributed or ...

... across the engineering, analytics engineering, and data science organizations to advance ... Preferred : • Direct experience in the D2C Fintech domain is preferred. • Experience managing ...

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Director Data Analyst R Programming information

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Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Posted 6 days ago


Job description

About the Role:

As a Data Analyst at our Agriculture company, your main objective will be to analyze and interpret complex data sets to provide valuable insights and recommendations. You will be responsible for collecting, cleaning, and organizing large volumes of data from various sources. By utilizing your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau, you will create visually appealing and informative reports and dashboards. Your analysis will play a crucial role in identifying trends, patterns, and opportunities for improvement in our agricultural operations.

Minimum Qualifications:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics.
  • Proven experience in data analysis and visualization.
  • Proficiency in data cleaning techniques and working with pivot tables.
  • Strong programming skills in R and familiarity with SAS.
  • Excellent problem-solving and critical thinking abilities.

Preferred Qualifications:

  • Master's degree in Data Science or a related field.
  • Experience in the agriculture industry or a similar field.
  • Knowledge of data extraction techniques and tools.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Certifications in data analysis or related areas.

Responsibilities:

  • Collect, clean, and organize large volumes of data from multiple sources.
  • Analyze and interpret complex data sets to identify trends, patterns, and insights.
  • Create visually appealing and informative reports and dashboards using data visualization tools such as Power BI and Tableau.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Stay up-to-date with the latest industry trends and advancements in data analysis techniques.

Skills:

In this role, your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau will be essential. You will use data cleaning techniques to ensure the accuracy and integrity of the collected data. Pivot tables will help you summarize and analyze large datasets efficiently. R programming language and SAS will be used for statistical analysis and modeling. Data visualization tools like Power BI and Tableau will enable you to create visually appealing reports and dashboards to communicate insights effectively. Your skills will be crucial in providing data-driven recommendations and identifying opportunities for improvement in our agricultural operations.