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Data Analytics Python Jobs in Princeton, TX (NOW HIRING)

Data Analytics Senior Analyst

Irving, TX · On-site

$141K - $142K/yr

Tableau, Excel, PowerBI; and Pyspark, Hadoop, Hive, python, scripting, MongoDB. Applicants submit ... Data Analytics Job Family Group: Job Family: Time Type: Full time Primary Location: Irving Texas ...

Guide teams in automating ETL workflows using SQL, Python, and R, and building pipelines Implement ... ML basics, statistical analysis, data profiling Domain & Leadership Strong experience in Consumer ...

Proficiency in Python (Pandas, NumPy, data analysis libraries) * Experience partnering with ... executive leadership teams * Strong knowledge of data warehousing, ETL/ELT processes, and data ...

Key Accountabilities Developing and implementing data strategy and analytics initiatives that align ... Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying ...

Required : • 0-3 years of experience in a data, analytics, or operations role • Hands-on experience with Python, including writing scripts for data processing or automation • Working knowledge ...

Python Developer

Plano, TX · On-site

$48 - $66.25/hr

Should be good with data modeling and data integration/analysis skills * They have current dashboards already - Dashboards are in Tableau - Tableau is a plus Proficient in Python development as well ...

Key Accountabilities Developing and implementing data strategy and analytics initiatives that align ... Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying ...

Key Accountabilities Developing and implementing data strategy and analytics initiatives that align ... Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying ...

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Data Analytics Python information

Is 40 too late for data science?

Data Analytics Python roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

What are some typical challenges faced when working as a Data Analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What are Data Analytics Python professionals?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

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

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building models, and handling large datasets, making it a valuable skill for the role.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to fully replace data analysts in the near future.

What is the salary for Python data analytics?

The salary for a Python data analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, machine learning, and certifications may earn higher salaries. Entry-level positions generally start lower, while senior roles can exceed this range.

What is the difference between Data Analytics Python vs Data Analyst?

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

What are popular job titles related to Data Analytics Python jobs in Princeton, TX? For Data Analytics Python jobs in Princeton, TX, the most frequently searched job titles are:
What job categories do people searching Data Analytics Python jobs in Princeton, TX look for? The top searched job categories for Data Analytics Python jobs in Princeton, TX are:
Data Analytics Senior Analyst

Data Analytics Senior Analyst

Citigroup, Inc.

Irving, TX • On-site

$141K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Citibank, N.A. seeks a Data Analytics Senior Analyst for its Irving, Texas location.
Duties: Design and develop strategic solution plans for business functionalities and build dynamic and scalable data pipelines using Spark preprocessing framework. Gather business requirements from the business and design data flow in collaboration with data architects. Implement Exploratory Data Analysis (EDA), data standardization and transformation pre-processes using different techniques like OHE, and data scaling and normalization for machine learning modeling. Design and develop unit, integration, and stress tests to ensure application satisfies all requirements. Mine and analyze data from various banking platforms to drive optimization and improve data quality. Serve as the subject matter expert of applications development techniques and emerging technologies. Consult with business clients to determine the functional specifications, applying comprehensive understanding of how multiple areas in the system collectively integrate towards achieving the business goals. Address system issues raised by users and clients by evaluating the business processes and the systems, considering the industry standards, and recommending solutions. Deliver analytic initiatives to address various business problems with ability to identify the data required, estimate the time and effort needed, and establish a project plan. Lead the process of system change from requirements analysis through implementation, and provides necessary user and operational supports. Formulate and define systems scope and objectives for projects based on applicable business systems and industry standards. Design, develop and modify the database schema needed in order to ensure uninterrupted services of applications. Optimize data storage and retrieval using Hive, implementing partitioning and bucketing techniques to improve query performance on large datasets. Build a multi-dimensional visualization dashboard using Tableau to aid growth, geolocation and statistical analyses. Design end-to-end application, set deliverable milestones, build JIRA stories, and breakdown the milestones into individual tasks. Conduct code review, set forth coding standards, and implement standard CI/CD processes. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requirements: Requires a Master's degree, or foreign equivalent, in Information Systems, Information Technology, Electronic Engineering, Business Analytics, or related field and 3 years of experience as an Applications Support Intermediate Analyst, Data Analytics Senior Analyst, Business Analyst, or related position involving data solutions design and development for a global financial services industry. Alternatively, employer will accept a Bachelor's degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience. Full term of experience must include: Visualization dashboard building using Tableau in support of data analysis; Automation development and batch jobs scheduling; Autosys, SQL, DATABASE, JIRA; Tableau, Excel, PowerBI; and Pyspark, Hadoop, Hive, python, scripting, MongoDB. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26966786. EO Employer.
Wage Range: $141,773 to $142,000
Job Family Group: Technology
Job Family: Data Analytics
Job Family Group:
Job Family:
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.