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Contract Python Data Analysis Jobs in Goshen, IN

Data Analyst - Poland

Warsaw, IN · On-site

$70 - $90/hr

Proficiency in Python or R for data analysis and automation. * Experience working with financial services, trading, or FX data. * Familiarity with data governance and data quality best practices.

Perform data manipulation, automation, and reproducible analyses using R (including Shiny), Python, and SQL; create scripts and pipelines to streamline routine processes. * Apply a broad set of data ...

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

... Contract of Employment (UoP) for our employees in Poland. What you'll achieve * Design and analyze ... Fluency in at least one modern language useful for data processing (such as Python or Scala)

Pricing Analyst (Remote)

Three Rivers, MI · On-site +1

$83K - $122K/yr

Analyze pricing, contract, and customer performance data to identify trends, risks, and opportunities that support profitable growth. * Project financial and commercial outcomes of pricing changes ...

New

Expert in Snowflake SQL, dbt (Core/Cloud), Python. * Strong on ADF orchestration, Snowpipe, COPY INTO, dynamic tables. * Data Product design patterns (FAIR principles, Data Contracts). * Git, CI/CD ...

Financial Data Analysis (5%) * Analyze and maintain cost accounting data to ensure accuracy and ... Job Type & Location This is a Contract position based out of Mishawaka, IN. Pay and Benefits The ...

This is a ship-code-daily role: turning raw satellite data into mission‑critical tools analysts ... Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust. * Hands‑on ...

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Contract Python Data Analysis information

See Goshen, IN salary details

$11

$52

$76

How much do contract python data analysis jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for contract python data analysis in Goshen, IN is $52.30, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.42 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

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

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What job categories do people searching Contract Python Data Analysis jobs in Goshen, IN look for?

The top searched job categories for Contract Python Data Analysis jobs in Goshen, IN are:

What cities near Goshen, IN are hiring for Contract Python Data Analysis jobs?

Cities near Goshen, IN with the most Contract Python Data Analysis job openings:

Infographic showing various Contract Python Data Analysis job openings in Goshen, IN as of June 2026, with employment types broken down into 4% As Needed, 38% Full Time, 55% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $108,788 per year, or $52.3 per hour.

Data Analyst - Poland

Warsaw, IN • On-site

$70 - $90/hr

Other

Re-posted yesterday


Job description

Are you looking for the next professional opportunity, that will challenge you and advance your career?

Tickmill is looking to hire a Data Analyst to mainly collaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.

About Tickmill.

Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, andBonds, as well as Exchange Traded DerivativeslikeFutures & Options).

Founded in 2014, theTickmillGroup employs over330 professionals across offices in London, Cyprus,Poland,Estonia,Seychellesand several other locations worldwide.

Our culture is built on trust, transparency, andhigh standards.Webring togetherambitiousprofessionals whoare looking for an environment that supports them todominate in their fields.

Ourdiverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.

We offer competitive benefits packages, frequentteam initiatives, and opportunities for professional growth.

What does the role look like?

The Data Analyst will have the chance to:

  • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
  • Support the implementation of data-driven solutions that improve business performance and operational efficiency.
  • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
  • Ensure data accuracy and consistency through validation and quality checks.
  • Work closely with BI team members to improve reporting processes and analytical capabilities.
  • Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
  • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
  • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
  • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
  • Experience gathering business requirements and translating them into reporting and analytical solutions.
  • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
  • Hands-on experience with data visualization tools (Power BI preferred).
  • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
  • Working knowledge of DAX and Power BI data modelling principles.
  • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
  • Attention to detail, curiosity, and a proactive approach to solving business problems.
  • Excellent command of English, both written and spoken.
  • Strong teamwork and collaboration skills.
Will be considered as a plus:
  • Experience with statistical analysis and A/B testing concepts.
  • Basic knowledge of machine learning concepts and their business applications.
  • Proficiency in Python or R for data analysis and automation.
  • Experience working with financial services, trading, or FX data.
  • Familiarity with data governance and data quality best practices.
  • Knowledge of Agile methodologies and DataOps principles.
  • Familiarity with Databricks or similar cloud platforms.
  • Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
  • AUnique Opportunityfor a career in a global, fast-growing company.
  • Attractive remunerationpackage based on qualifications and experience.
  • Opportunities tolearn and grow through our “Employee Training & Development program”.
  • Hybrid Work Flexibility.
  • Multiple events tobond with the team and the group.
  • Birthdayand Loyalty benefits.
What to expect from our recruitment process:
  1. First interview with hiring managers or an HR call
  2. Psychometric test
  3. Final interview with top management

*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

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