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Temporary Python Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Source origins of data inaccuracies through data pipeline dependencies and python code base

ShiftCode Analytics

Data Analyst

Chicago, IL · On-site

If you are passionate about data, proficient in Python and SQL, and have experience working with cloud platforms such as Azure, AWS, or GCP. Responsibilities: * Data Analysis and Interpretation:

WTEC Energy

Data Analyst

Hasbrouck Heights, NJ · On-site

R, Python) * Data visualization and presentation skills, * Interest in more advanced topics in analytics (machine learning, artificial intelligence) Work Environment This job operates in a ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL. Data Analyst Job Duties Data ...

ConnectPrep

Data Analyst Internship

Boston, MA · On-site +1

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

LTM

Senior Data Engineer

Irving, TX · On-site

$101.80K - $138.30K/yr

Develop and maintain robust data pipelines using Apache Spark and Python * Collaborate with data scientists and analysts to optimize data workflows * Ensure data quality and integrity across large ...

ConnectPrep

Data Analyst Internship

Boston, MA · Remote

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

Aptive

$85.90K - $108.40K/yr

Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ...

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

As of Jun 3, 2026, the average yearly pay for temporary python data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Temporary Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and experience with data manipulation, typically supported by a relevant degree or equivalent experience. Familiarity with data analysis libraries (such as pandas and NumPy), SQL databases, and data visualization tools is often required. Attention to detail, problem-solving ability, and effective communication make someone stand out in this position. These skills ensure accurate data analysis, actionable insights, and clear reporting to support business decisions within a limited timeframe.

What types of projects and data sets do Temporary Python Data Analysts typically work with, and how is their work integrated into the team’s overall objectives?

Temporary Python Data Analysts often handle time-sensitive projects such as data cleaning, exploratory analysis, and automation of reporting tasks using Python. They frequently work with diverse data sets, which may include sales figures, customer behavior metrics, or operational logs, depending on the industry. Their analyses and scripts are typically designed to support ongoing projects or to fill immediate gaps, and their findings are integrated into the team's decision-making processes. Collaboration is common, with analysts working closely with data engineers, business analysts, and project managers to ensure their contributions align with broader team goals and deadlines.

What are temporary Python data analysts?

Temporary Python data analysts are professionals hired on a short-term basis to analyze data using the Python programming language. They clean, organize, and interpret data sets, often creating visualizations or reports to help businesses make informed decisions. Their contracts may last for a few weeks to several months, depending on the project's needs. Python data analysts are valued for their ability to automate data processing and provide actionable insights quickly.

What is the difference between Temporary Python Data Analyst vs Temporary SQL Data Analyst?

AspectTemporary Python Data AnalystTemporary SQL Data Analyst
Required SkillsPython, data analysis, scripting, basic SQLSQL, data querying, database management, some Python
Work EnvironmentData analysis projects, scripting tasks, data visualizationDatabase querying, report generation, data extraction
CertificationsPython certifications, data analysis coursesSQL certifications, database management courses

Both roles are common in data-driven industries and often overlap in skills like data querying. The main difference is that the Temporary Python Data Analyst focuses on scripting and analysis using Python, while the Temporary SQL Data Analyst specializes in database querying and management. Your choice depends on whether your focus is on programming and analysis or database operations.

What cities are hiring for Temporary Python Data Analyst jobs? Cities with the most Temporary Python Data Analyst job openings:
What are the most commonly searched types of Python Data Analyst jobs? The most popular types of Python Data Analyst jobs are:
What states have the most Temporary Python Data Analyst jobs? States with the most job openings for Temporary Python Data Analyst jobs include:
Temporary Python Data Analyst jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 8 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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