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Data Analyst Python Sql Jobs in Hensley, AR (NOW HIRING)

Clera

Senior Measurement Strategist

Little Rock, AR · On-site

$135K/yr

Advanced SQL proficiency for data extraction, transformation, and analysis. * Experience designing ... Proficiency with statistical analysis and data visualization tools such as Python, R, Tableau ...

Entergy

GIS I, II- SR

Little Rock, AR · On-site

Prepare reports and data analysis. Perform records management activities. Lead in the training of ... Possess skills in computer programming (Python, SQL), imaging and multimedia. Have solid background ...

Entergy

GIS I, II- SR

Little Rock, AR · On-site

Prepare reports and data analysis. Perform records management activities. Lead in the training of ... Possess skills in computer programming (Python, SQL), imaging and multimedia. Have solid background ...

Raas Infotek LLC

AIML Developer

Little Rock, AR · On-site

... Python * Experience with Machine Learning algorithms, predictive modeling, and statistical analysis ... Strong understanding of REST APIs, Microservices, and data pipelines * Experience with SQL and ...

New

Triunity Software, Inc.

AI Engineer

Little Rock, AR · On-site

$110 - $150/hr

Analyze large datasets to identify patterns, trends, and opportunities for model improvement ... Experience with SQL/NoSQL databases and data pipeline tools * Excellent problem-solving skills and ...

Pwc

AI & GenAI Data Scientist - Manager

Little Rock, AR · On-site

$99K - $232K/yr

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

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Data Analyst Python Sql information

See Hensley, AR salary details

$29.7K

$72.1K

$118.7K

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

As of Sep 4, 2026, the average yearly pay for data analyst python sql in Hensley, AR is $72,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,600.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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.

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

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.

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 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 cities near Hensley, AR are hiring for Data Analyst Python Sql jobs?

Cities near Hensley, AR with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Hensley, AR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $72,119 per year, or $34.7 per hour.

Senior Measurement Strategist

Clera

Little Rock, AR • On-site

$135K/yr

Full-time

Posted 15 days ago

Job description

About the Role

This is a senior, customer-facing measurement strategy role at a data infrastructure and analytics company building a complex market and media analysis platform for enterprise clients. You will partner with some of the world's leading brands to analyze the business impact of their advertising and help them optimize media investments. The role sits at a critical intersection across Commercial, Services Delivery, Product, Engineering, and Data Science teams, making it highly visible and cross-functional.

What You'll Do

  • Guide enterprise customers from measurement use case design through value realization across a suite of measurement solutions.

  • Partner with clients to develop Learning Agendas, including hypotheses, opportunity identification, and data-driven insights that inform marketing and media planning.

  • Act as a trusted product and media expert to drive adoption, deepen usage, and unlock future opportunities across customer accounts.

  • Build and maintain strong executive and operational relationships, earning trusted-advisor status with senior client stakeholders.

  • Identify and drive account growth opportunities including product expansion, analytics services, upsells, and renewals alongside Commercial team members.

  • Contribute to thought leadership through whitepapers, case studies, and internal and external initiatives.

What We're Looking For

  • 10+ years of customer-facing, consultative account management experience at a SaaS, AdTech, media agency, or digital media services firm.

  • 5+ years working as a measurement strategist, marketing analyst, or data analyst in media, advertising, or marketing-mix measurement environments.

  • 6+ years in marketing analytics covering media, customer, digital, and big data, including campaign management, experimental design, and performance optimization.

  • Demonstrated expertise in media measurement methodologies, attribution modeling, and incrementality testing frameworks.

  • Proven experience delivering measurement strategy and analytics insights to enterprise-level brand and agency clients in a consulting or advisory capacity.

  • Advanced SQL proficiency for data extraction, transformation, and analysis.

  • Experience designing and executing experimentation frameworks, A/B testing, or incrementality studies.

  • Proficiency with statistical analysis and data visualization tools such as Python, R, Tableau, Looker, or equivalent.

  • Hands-on experience with marketing-mix modeling (MMM) or multi-touch attribution (MTA) platforms and methodologies.

  • Deep understanding of the advertising technology ecosystem, including TV, DMPs, DSPs, SSPs, ad servers, and publishers.

  • Experience working with large-scale datasets and complex data warehouse environments.

  • Familiarity with customer data platforms (CDPs) or identity resolution in advertising contexts is a plus.

  • Background in management or strategy consulting with media or marketing clients is a plus.

Compensation & Benefits

This is a W2 contract engagement with an hourly rate of $65/hr (approximately $135,200 annually). The contract term is one year. Visa sponsorship is available for all visa types.

Location

Candidates should be based in or able to work from Little Rock, AR, San Francisco, CA, New York, NY, or Seattle, WA. Remote work is available for exceptional candidates. All candidates must be available to work in Pacific Standard Time (PST).