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Data Analyst Python Sql Jobs in New York (NOW HIRING)

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Data Analyst

Roslyn Heights, NY · On-site

$38 - $43/hr

Write, optimize, and maintain complex SQL queries to extract, analyze, and validate data * Develop ... Direct experience with PowerBI, Python * Problem-Solving Skills * Ability to Work Independently

Data Analyst

Roslyn Heights, NY · On-site

$38 - $43/hr

Write, optimize, and maintain complex SQL queries to extract, analyze, and validate data * Develop ... Direct experience with PowerBI, Python * Problem-Solving Skills * Ability to Work Independently

Data Analyst

Roslyn Heights, NY · On-site

$38 - $43/hr

Write, optimize, and maintain complex SQL queries to extract, analyze, and validate data * Develop ... Direct experience with PowerBI, Python * Problem-Solving Skills * Ability to Work Independently

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Strong Excel proficiency and experience in SQL is a plus * Experience using Python or other ...

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... Experience with analytics reporting and business analysis * Strong stakeholder communication and ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Strong Excel proficiency and experience in SQL is a plus * Experience using Python or other ...

Strong SQL, Big data****Required** **NY/NJ locals who can go in person interviews.****Day 1 Onsite ... Python, shell, Spark programs • At least 5 years financial industry technology experience and ...

Lead Data Analyst - R01565187

New York, NY · On-site +1

$125K - $130K/yr

Spark - Pyspark, SQL, SQL (Basic + Advanced), Python, Hive, Data Modelling Fundamentals Specialization * Data Analyst Job Duties and Requirements: Lead Data Analyst needed in New York, NY and various ...

Data Analyst

New York, NY · On-site

$69K - $85K/yr

Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and ... Programming experience, Python in particular, is a plus Powered by JazzHR Z8TdorkT0r

Data Analyst

New York, NY · On-site

$69K - $85K/yr

Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and ... Programming experience, Python in particular, is a plus

Spark - Pyspark, SQL, SQL (Basic + Advanced), Python, Hive, Data Modelling Fundamentals Specialization * Data Analyst Job Duties and Requirements: Lead Data Analyst needed in New York, NY and various ...

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Data Analyst Python Sql information

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in New York? For Data Analyst Python Sql jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Data Analyst Python Sql jobs? Cities in New York with the most Data Analyst Python Sql job openings:

Full-time

Posted 16 days ago


Job description

Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States.
We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization.
Job Description
  1. 3 or more years' experience in a data analyst or data scientist role
  2. Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
  3. Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks
  4. Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
  5. Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
  6. Experience writing DAGs in Apache Airflow
  7. Experience using Docker to containerize workflows
  8. Experience interacting with *nix OS' through the command line
  9. Experience with Plotly Dash or Streamlit
  10. Familiarity with Selenium is a plus
  11. Familiarity with numerical optimization is a plus
  12. Bachelor's Degree or higher in Analytics / Statistics / Data Science or other related subjects
  13. Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)
  14. Ability to multi-task and adjust priorities based on workload and direction from management
  15. Self-motivated to document processes and teach others

Candidates that do not demonstrate all of the above are still strongly encouraged to a
apply
  1. Applicants should submit a paragraph summarizing one of their data science projects - the challenges they faced and how they overcame it
  2. Applicants should also provide links to their GitHub profiles or portfolios