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Data Analyst Python Sql Jobs in New Providence, NJ

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

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

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

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

As Arsenaults Data Analyst, youll play a leading role in helping us answer strategic business ... Strong background in SQL, some knowledge of Python or R a plus * Experienced creating dashboards ...

Data Analyst

New York, NY · On-site

$66K - $79K/yr

We have an exciting opportunity to join our team as a Data Analyst. The Brooklyn Data Station at ... Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data ...

Advanced expert database handling languages (SQL and variants) * Expert in data modeling (physical ... VBA, python, XML) * Working knowledge of ETL * Experience in Managing scientific data Desired ...

Data Analyst

New York, NY · On-site

$135K - $180K/yr

You have a strong understanding of SQL and have used it in complex data environments * You have a ... Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT. Pay Transparency The estimated ...

Senior Python Developer

Jersey City, NJ · On-site

$125K - $130K/yr

... Python, SQL, and a background in enterprise-level platforms and data-driven solutions. Key ... Strong problem-solving and analytical skills Experience with big data technologies (e.g., Hadoop ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site +1

$107K - $165K/yr

The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ... Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site

$87K - $109K/yr

The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ... Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site +1

$87K - $109K/yr

The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ... Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on ...

As an Investment Data Analyst in Product Data Solutions (PDS) Analytics team, you will play a ... Technical proficiency in programming languages such as Python and SQL- as well as familiarity with ...

... in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets). • Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy ...

Expertise on SQL (Snowflake or any other MPP databases such as Redshift) 2. Very good knowledge in ... Python programming will be added advantage(To work with Data Eng Team on roll-up Tables) Tachyon ...

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

Showing results 21-40

Data Analyst Python Sql information

See New Providence, NJ salary details

$35.8K

$87K

$143.2K

How much do data analyst python sql jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analyst python sql in New Providence, NJ is $86,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $102,100.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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?

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.

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 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 Providence, NJ?

For Data Analyst Python Sql jobs in New Providence, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in New Providence, NJ look for?

The top searched job categories for Data Analyst Python Sql jobs in New Providence, NJ are:

What cities near New Providence, NJ are hiring for Data Analyst Python Sql jobs?

Cities near New Providence, NJ with the most Data Analyst Python Sql job openings:

Data Analyst

tignovate

Manhattan, NY • On-site

Full-time

Re-posted 13 days ago


Job description

Description

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will play a pivotal role in transforming raw data into actionable insights that will drive strategic decisions and improve business outcomes. Your analytical expertise will allow you to interpret complex datasets, identify trends, and provide recommendations to stakeholders across various departments. You will be responsible for gathering, cleaning, and analyzing data from multiple sources, ensuring its accuracy and relevance. In this fast-paced environment, you will collaborate closely with cross-functional teams to understand their data needs and develop comprehensive reports and dashboards. Additionally, you will utilize statistical techniques to conduct deep-dive analyses, revealing patterns and correlations that may not be immediately apparent. The ideal candidate will have a profound passion for data and problem-solving, with a keen eye for detail and an ability to communicate findings clearly and effectively. If you are looking to make a significant impact through data-driven decision-making, we encourage you to apply for this exciting opportunity where innovation meets analytics.

Responsibilities
  • Collect, clean, and preprocess large datasets from various sources to ensure data integrity.
  • Analyze data using statistical methods to identify trends, patterns, and anomalies that provide actionable insights.
  • Create and maintain comprehensive dashboards and reports to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand their data needs and translate business requirements into analytical solutions.
  • Document processes and methodologies for data analysis and reporting to ensure consistency and accuracy.
  • Present findings and recommendations to stakeholders using data visualization techniques and clear narrative.
  • Stay updated with industry trends and best practices in data analytics to continually improve the analytical process.
Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Analyst or in a similar role, with a strong portfolio demonstrating your analytical capabilities.
  • Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python).
  • Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual narratives.
  • Solid understanding of statistical analysis techniques and methodologies.
  • Strong problem-solving skills with the ability to analyze complex data and present findings.
  • Excellent communication skills, both written and verbal, with a focus on translating data into actionable insights.