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Weekend Python Data Analyst Jobs in Missouri (NOW HIRING)

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Python experience for data analysis is a plus (e.g., pandas, scipy, statsmodels). * Familiarity with causal inference methods or experimentation platforms (e.g., GrowthBook, Statsig, Eppo) is an ...

ConcertoCare

Lead, Data Product Analyst

Kansas City, MO · On-site

$140K - $155K/yr

Experience with Databricks, Python, or R for analytics strongly preferred. * Exceptional data storytelling and communication skills, able to simplify complex analytics for diverse audiences.

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All JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in Missouri

Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Missouri? The most popular types of Python Data Analyst jobs in Missouri are:
Weekend Python Data Analyst jobs near you
Data Analyst, Master Data Management

Data Analyst, Master Data Management

NISA Investment Advisors, LLC

Saint Louis, MO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Overview
NISA Investment Advisors, LLC (NISA) partners with world-leading organizations to design, develop, and manage highly customized, risk-controlled investment strategies across fixed income, equities, and derivatives. With $462 billion assets under management ($295 billion in physical assets and $167 billion in derivatives notional value), NISA actively manages risk for institutional investors, providing clarity to complicated challenges and stability in ever-evolving markets. At NISA, we foster a culture that supports both personal and professional growth, providing opportunities to learn from experienced professionals while contributing meaningful work from the outset. We seek candidates who demonstrate strong quantitative and analytical skills, intellectual curiosity, and a collaborative mindset to join our growing teams.
Responsibilities
The Master Data Management (MDM) team exists to deliver business-critical data to the enterprise efficiently, effectively, and at scale resulting in reduced data siloes, de-coupling, and cost management. We seek to be a strategic partner designing robust, innovative, client-focused solutions with integrity. As a member of Master Data Management, the Analyst will work as part of a growing team responsible for managing core investment data for the enterprise, including security reference data, security pricing and valuations data, FX rates, and related reference data. This data spans across instrument types (i.e., stocks, bonds, and derivatives) and major asset classes (i.e., equities, rates, credit, commodity, etc.). The Analyst will work at the intersection of finance and technology and will collaborate with cross-functional teams across departments including IT, Portfolio Management, Client Services, and Operations on a daily basis. Day-to-day responsibilities include triaging data quality issues with relevant business and technical teams, translating business needs into technical requirements, and designing and building solutions to solve complex data needs.
Qualifications
  • Bachelor's degree required and preferred in a field requiring strong analytical and quantitative skills
  • Intermediate-level knowledge of financial markets (equities, fixed income, derivatives)
  • Process-minded with the ability to connect the dots and see patterns
  • Experience with relational databases and query languages - ex. SQL, Python - or a demonstrated interest in learning preferred
  • Experience working with investment data such as security masters, security pricing and valuations, security ratings, or investment accounting preferred
  • Demonstrated intellectual curiosity and problem-solving
  • Ability to work in a fast-paced environment, both independently and within a team setting
  • Ability to accurately communicate between teams and departments to document processes and resolve issues

NISA's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including health, dental, vision and life insurance options, paid time off, a competitive retirement plan, onsite cafeteria, fitness center, a health and wellness program and an educational assistance program.
NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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