1

Senior Python Data Analysis Jobs in Parsippany, NJ

We're looking for a Senior Backend Engineer who thrives in fast moving environments, enjoys solving ... data, and infrastructure teams Lead technical initiatives and contribute to architectural decision ...

As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help ... Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code ...

Python Instructor

New York, NY ยท On-site

$55 - $75.75/hr

Arrays and indexing Data Analysis with Python * NumPy fundamentals * Pandas Series and DataFrames * Reading and importing data * Data cleaning and preparation * Sorting and filtering datasets

Python Instructor

New York, NY ยท On-site

$55 - $75.75/hr

Arrays and indexing Data Analysis with Python * NumPy fundamentals * Pandas Series and DataFrames * Reading and importing data * Data cleaning and preparation * Sorting and filtering datasets

Experience and comfort with SQL, R, and other programming languages used for data analysis; and ... Ability to read and document data methods in a variety of languages, such as R, Python, SQL

Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and ... mastery in data analysis languages including SQL, Python, and R * Proficient at create ...

The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as ... mastery in data analysis languages including SQL, Python, and R * Proficient at create ...

Sr. Data Analyst (Sales)

Manhattan, NY ยท On-site +1

$94K - $119K/yr

Description VAST Data is looking for a Sr. Data Analyst Sales to join our growing team! This is a ... Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to ...

next page

Showing results 1-20

Senior Python Data Analysis information

See Parsippany, NJ salary details

$55.3K

$142.8K

$196.1K

How much do senior python data analysis jobs pay per year?

As of Jul 19, 2026, the average yearly pay for senior python data analysis in Parsippany, NJ is $142,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $164,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Parsippany, NJ? The most popular types of Python Data Analysis jobs in Parsippany, NJ are:
What job categories do people searching Senior Python Data Analysis jobs in Parsippany, NJ look for? The top searched job categories for Senior Python Data Analysis jobs in Parsippany, NJ are:
Senior AWS Data Engineer/Architect.

Senior AWS Data Engineer/Architect.

Accord Technologies Inc.

Piscataway, NJ โ€ข On-site

$68.50 - $91.75/hr

Contractor

Posted 10 days ago


Job description

Role: Senior AWS Data Engineer/Architect.
Location: Piscatway, NJ (Day 1 onsite Hybrid)
Position type: W2 contract

ย About the Role

ย  You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.

ย Job Description:ย 

ย ย  - Architect and implement cloud-native data pipelines on AWS

ย  - Build serverless compute layers using Lambda, Step Functions, and Airflow

ย  - Design data lake storage strategies using S3, Glue, Athena, and Redshift

ย  - Integrate real-time data streams via Kinesis and SQS

ย  - Collaborate with business analysts to translate reporting requirements into schema and pipeline design

ย  - Own data quality, pipeline monitoring, and alerting via CloudWatch

ย  - Lead schema design for Athena and Postgres tables โ€” DDL, partitioning, indexing

ย  - Evaluate and integrate AI/ML services โ€” Bedrock, Comprehend, Transcribe

ย  - Document architecture decisions and maintain runbooks

ย ย Must Have

ย ย  - overall 10 to 15+ with 6+ years AWS data engineering experience

ย  - Expert Python โ€” data transformation, boto3, async processing

ย  - Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, EventBridge, DynamoDB, Glue, Athena, Redshift, Airflow

ย  - Airflow โ€” production DAG development and debugging

ย  - SQL โ€” complex queries, window functions, partitioning, performance tuning

ย  - IAM โ€” roles, policies, cross-account access, permissions boundaries

ย  - Experience designing event-driven, serverless architectures at scale

ย  - Strong understanding of data lake patterns โ€” partitioning, file formats, crawlers

ย  Nice to Have

ย ย  - Amazon Connect / telephony platform experience

ย  - LLM integration โ€” prompt engineering, Bedrock, API gateway patterns

ย  - Amazon Transcribe / Call Analytics

ย  - Terraform / CloudFormation

ย  - QuickSight dashboarding

ย  - Multi-account AWS organisation management