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Data Analyst Python Sql Jobs in New Providence, NJ

Sundaysky

Data Analyst

New York, NY · On-site

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

Navtech, Inc.

Data Analyst

Manhattan, NY · On-site

Data Analyst - New York, NY Location : New York, NY Duration : 12 months Only ON W2 No C2C : There ... SQL, Spark (Pyspark primarily), Python, AWS (EMR primarily) Best Regards Chris Brown Sr Technical ...

AvePoint, Inc.

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

AvePoint

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

AvePoint

Data Analyst

Jersey City, NJ

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

Guidepoint

Senior Data Analyst

New York, NY · Hybrid

$120K - $150K/yr

Build and maintain scalable analytical workflows using SQL, Python, and Snowflake, incorporating AI ... Assess and improve data models, data quality, and analytical standards to support more reliable and ...

Healthix, Inc.

Data Analyst

New York, NY · On-site

$95K - $125K/yr

Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours ... SQL and NoSQL databases. * Strong programming skills with languages like Python, Java, C++, and ...

SysMind Tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Experience with python, SSIS, PDI, Azure Data Factory or other ETL tools. Improve data ETL pipeline and build tools to analyze new data efficiently. Collaborate with data scientists/analysts, and ...

WebMD

Data Analyst

Newark, NJ · On-site

WebMD/MD Alert is currently seeking a Client Data Analyst responsible for understanding data ... SQL, Big Query, Excel, Looker) * Setup of tactics for weekly data delivery * Development and ...

Brex

Data Analyst II

New York, NY · Hybrid

$93K - $117K/yr

Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets). * Experience with Python for data analysis, automation, or scripting.

Laufer Group International

Data Analyst

New York, NY · On-site

$100K - $135K/yr

As a Data Analyst for Laufer Group International, your work will directly influence how we optimize ... This is an ideal opportunity for a data-driven professional with strong SQL, Power BI, and data ...

Guidepoint

Senior Data Analyst

New York, NY · On-site

$120K - $150K/yr

Build and maintain scalable analytical workflows using SQL, Python, and Snowflake, incorporating AI ... Assess and improve data models, data quality, and analytical standards to support more reliable and ...

WebMD

Data Analyst

Newark, NJ

... provide analysis, recommendations, and remediation steps. The role requires a full technical ... SQL, Big Query, Excel, Looker) * Setup of tactics for weekly data delivery * Development and ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in New Providence, NJ

Data Analyst Python Sql information

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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?

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

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Data Analyst

Sundaysky

New York, NY • On-site

Full-time

Re-posted 21 days ago

Job description

SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success. The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you.
In a fast paced, ever-changing environment, you will be involved in the following -
  • Building proactive analysis through data mining to identify trends and opportunities for product optimization.
  • Finding areas of opportunity to drive revenue in a digital advertising campaign.
  • Proving value to strategic clients by developing data-driven stories in dynamic presentations.
  • Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.
  • Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky.
  • Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues.
  • Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.
  • Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports.
  • Become an expert in industry, customer and SundaySky measurement methodologies.

Requirements:
The ideal candidate will have the following experience and skillset:
  • Minimum 3 years of experience in business analytics or digital advertising environment
  • Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment
  • Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones. Balances desire for quantitative rigor with realities of inconsistent business data
  • Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives
  • Experience with the following tools:
  • MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint
  • BI & Analytics Tools (Tableau, MicroStrategy, SAS)
  • Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc.
  • Open source statistical software: R or Python (similar to SAS, SPSS, etc.)
  • Database (SQL, MySQL, NoSQL, Splunk, etc.)
  • Experience with data visualization and/or an eye for design
  • Proactive, independent thinker with high energy and positive attitude
  • Bachelor's degree (B.A. or B.Sc.) or equivalent.
  • Experience with ecommerce / digital advertising best practices
  • Willingness to take coaching for continuous personal development
  • Experience working with a distributed team of Sales managers, project managers and technical support.
  • Must be authorized to work in the US

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