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Data Analyst Python Sql Jobs in Olive Branch, MS

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Ability to create intermediate SQL queries. * Experience with AWS and Python is preferred. Stifel ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Ability to create intermediate SQL queries. * Experience with AWS and Python is preferred. About ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Ability to create intermediate SQL queries. * Experience with AWS and Python is preferred. About ...

Strong skills in Excel, SQL, and report writing * Proficiency in Microsoft Fabric and Power BI ... Familiarity with Python or other analytics/programming languages * Understanding of statistical ...

Strong skills in Excel, SQL, and report writing * Proficiency in Microsoft Fabric and Power BI ... Familiarity with Python or other analytics/programming languages * Understanding of statistical ...

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean ...

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Digital Analyst Internships

Memphis, TN · On-site

$87K - $104K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Southaven, MS · On-site

$89K - $106K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Proficient in programming languages such as Python and SQL for database querying and manipulation ... Ability to analyze complex data sets, identify patterns, and derive actionable insights.

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Proficient in programming languages such as Python and SQL for database querying and manipulation ... Ability to analyze complex data sets, identify patterns, and derive actionable insights.

Data Engineer III

Memphis, TN

$119K - $143K/yr

Proficient in programming languages such as Python and SQL for database querying and manipulation ... Ability to analyze complex data sets, identify patterns, and derive actionable insights.

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Data Analyst Python Sql information

See Olive Branch, MS salary details

$30.5K

$74.1K

$122K

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

As of Jul 31, 2026, the average yearly pay for data analyst python sql in Olive Branch, MS is $74,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $87,000.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Olive Branch, MS look for? The top searched job categories for Data Analyst Python Sql jobs in Olive Branch, MS are:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

Let’s talk about how you can find your place here at Stifel, where success meets success.


The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data driven initiatives and developments. This position is expected to work with business users as well as product management and development teams to further define requirements, analyze pertinent underlying data to ensure proper use and then translate those requirements into queries that will provide the objective data sets. The Data Analyst will also act as a subject matter expert for assigned raw data sets as well as maintain documentation surrounding them.


  • Develop an understanding of the Stifel business & data models, and use that knowledge to optimize the relationship between the company and the customer.
  • Field inbound requests from business users and product management and refine requirements until a full understanding is reached on the data being requested.
  • Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs related to firm initiatives and developments.
  • Perform due diligence on data produced to ensure quality and accuracy.
  • Provide peer review of ad-hoc data requests fulfilled by associate members of the Data Analysts team and provide assistance to fellow members as needed in larger project efforts.
  • Proactively identify and recommend process and practice improvement within the team.
  • Maintain strong communication with stakeholders, following up as needed to ensure all requests are being actively addressed and/or status is being communicated.
  • Triage requests to focus first on more time-sensitive items while maintaining awareness of overall team bandwidth and workload.
  • Gain and utilize a strong understanding of company applications and business practices in the context of how they affect the firm's data.
  • Perform in-depth analysis and act as subject matter expert for assigned raw data sets.

  • Solid understanding of financial industry terminology and concepts.
  • Knowledge of financial services, specifically wealth management.
  • Solid understanding of basic concepts of Microsoft T-SQL and database design.
  • Ability to leverage SQL to create queries which model and/or aggregate large complex datasets.
  • Leverage these skills to grow abilities in developing normalized data sets for enterprise wide business intelligence purposes.
  • Strong analytical skills focused on using logic and reasoning to identify complex relationships within a data structure as well as to research and discuss recommended uses.

  • Minimum Required: Bachelor's degree in Information Technology, Computer Science or Business Administration or equivalent work experience
  • Minimum Required: 1-3 years' of investment, financial or technical experience

  • Minimum Required: None.

  • Proficient in Microsoft Excel, Word, PowerPoint, Outlook.
  • Experience with ticketing systems.
  • Experience with office productivity, reporting, and technical documentation software.
  • Exposure to systems monitoring tools and logging tools.
  • Understands client/server computing architecture, user interfaces and application programing interfaces.
  • Understand concepts related to relational databases.
  • Ability to create intermediate SQL queries.
  • Experience with AWS and Python is preferred.

Stifel is more than 130 years old and still thinking like a start-up.  We are a global wealth management and investment banking firm serious about innovation and fresh ideas.  Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.

While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations.  Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more.  Let’s talk about how you can find your place here at Stifel, where success meets success.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.


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