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Data Analyst Python Sql Jobs in Norfolk, VA (NOW HIRING)

Guidehouse

Data Scientist

Norfolk, VA

Experience in Python, R, and SQL for data analysis, modeling, and data manipulation * Experience applying machine learning techniques and statistical methods to real-world datasets * Experience ...

Guidehouse

Data Scientist

Norfolk, VA · On-site

Experience in Python, R, and SQL for data analysis, modeling, and data manipulation * Experience applying machine learning techniques and statistical methods to real-world datasets * Experience ...

Guidehouse

Data Scientist

Norfolk, VA

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

Guidehouse

Data Scientist

Norfolk, VA

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

CACI International, Inc.

Data Scientist

Norfolk, VA · On-site

You will formulate and lead guided, multifaceted analytic studies against massive volumes of ... Advanced SQL for complex transformations/query optimization, alongside Python or PySpark for data ...

Guidehouse

Data Scientist

Norfolk, VA · On-site

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$90K - $125K/yr

Apply software and programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau ... Analyze structured and unstructured data, leveraging backend technologies such as SQL, NoSQL, and ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

Apply software and programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau ... Analyze structured and unstructured data, leveraging backend technologies such as SQL, NoSQL, and ...

FocusKPI

Marketing Operations Analyst

Hampton, VA

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

New

FocusKPI

Marketing Operations Analyst

Chesapeake, VA

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

New

FocusKPI

Marketing Operations Analyst

Norfolk, VA · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Chesapeake, VA · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Hampton, VA · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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Data Analyst Python Sql information

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$32.9K

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$131.6K

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

As of Jul 16, 2026, the average yearly pay for data analyst python sql in Norfolk, VA is $79,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 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 are popular job titles related to Data Analyst Python Sql jobs in Norfolk, VA? For Data Analyst Python Sql jobs in Norfolk, VA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Norfolk, VA look for? The top searched job categories for Data Analyst Python Sql jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Data Analyst Python Sql jobs? Cities near Norfolk, VA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Data Scientist

Data Scientist

Guidehouse

Norfolk, VA

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 20 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants

Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

Active Secret

What You Will Do:

  • Develop, implement, andvalidatestatistical models and analytical methodologies to support client mission objectives

  • Perform exploratory data analysis (EDA) toidentifytrends, patterns, and anomalies in large and complex datasets

  • Design and deploy predictive and prescriptive models to enable data-driven decision-making

  • Apply advanced analytics to Navy-specific domains such aslogistics, maintenance, and operational readiness

  • Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments

  • Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences

  • Build andmaintainreusable analytical frameworks, code libraries, and model pipelines

  • Apply machine learning techniques to solve classification, regression, clustering, and optimization problems

  • Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively

  • Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability

  • Document methodologies, assumptions, and results to support transparency and reproducibility

What You Will Need:

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor's degree

  • THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles

  • Experience in Python, R, and SQL for data analysis, modeling, and data manipulation

  • Experience applying machine learning techniques and statistical methods to real-world datasets

  • Experience working with large, complex datasets acrosslogistics, maintenance, supply chain, or readiness domains

  • Experience developing data visualizations and dashboards using Qlik or similar tools

  • Experience working within cloud or big data environments such as Databricks or similar platforms

  • Experience working in Agile or iterative development environments

  • Experience supporting government or defense clients (Navy experience preferred)

  • Ability to work onsite in a client environment asrequired

What Would Be Nice To Have:

  • Familiarity with deploying models or integrating analytics into operational workflows

  • Strong foundationin statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis)

  • Statistical modeling and machine learning

  • Ability to translate complex analytical outputs into actionable recommendations for stakeholders

  • Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus

  • Data analysis and interpretation

  • Python, R, SQL programming

  • Data visualization (Qlik, Tableau, Power BI, etc.)

  • Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.)


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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