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Data Analyst Python Sql Jobs in Myrtle Beach, SC

Sweatpals

Product Manager Internship

Conway, SC

Data fluency - comfortable reading analytics dashboards, writing basic SQL, or at minimum knowing the right questions to ask and how to get answers * Exceptional written communication: your specs ...

Sweatpals

Product Manager Internship

Conway, SC · On-site

Data fluency - comfortable reading analytics dashboards, writing basic SQL, or at minimum knowing the right questions to ask and how to get answers * Exceptional written communication: your specs ...

TransPerfect

Junior QA Engineer

Myrtle Beach, SC

... data-driven interfaces that need thorough, thoughtful QA Enterprise-scale impact... without ... Python Understanding of CI/CD pipelines and how automated tests fit in A Design Mindset We need QA ...

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Data Analyst Python Sql information

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

As of Aug 7, 2026, the average yearly pay for data analyst python sql in Myrtle Beach, SC is $74,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $87,300.00 per year, depending on experience, location, and employer.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 Myrtle Beach, SC? For Data Analyst Python Sql jobs in Myrtle Beach, SC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Myrtle Beach, SC look for? The top searched job categories for Data Analyst Python Sql jobs in Myrtle Beach, SC are:
What cities near Myrtle Beach, SC are hiring for Data Analyst Python Sql jobs? Cities near Myrtle Beach, SC 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 Myrtle Beach, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,375 per year, or $35.8 per hour.

Business Operations Manager

Capital Vacations

Myrtle Beach, SC • On-site

Full-time

Re-posted 29 days ago

Capital Vacations rating

5.0

Company rating: 5.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

18th of 21 rated holiday rentals

Job description

Business Operations LeaderAbout Capital Vacations
Capital Vacations is one of the largest and fastest-growing independent timeshare resort management and vacation club companies in North America. We manage more than 200 resorts and serve hundreds of thousands of members and travelers across the U.S. and Caribbean.
We are investing in modern analytics and data infrastructure to better understand our owners and guests, optimize marketing and sales performance, and support responsible, profitable growth.
Position Overview
The Head of Sales & Marketing Analytics will build and own the analytics roadmap for Capital Vacations' sales and marketing organization. This role will:
  • Lead analysis of timeshare sales and marketing performance (tours, VPG, close rates, show rates, package performance, channel ROI, etc.).
  • Build and maintain Power BI dashboards and self-service tools that give field and corporate leaders real-time visibility into performance.
  • Partner closely with database and data engineering teams during our migration to Microsoft Fabric, helping shape data models that support reporting and advanced analytics.
  • Translate data into clear, compelling insights and recommendations for executives and field leaders.
  • Support Finance and Compensation on sales compensation design, incentive modeling, and forecasting.
Key ResponsibilitiesSales & Marketing Analytics
  • Own the analytics strategy and roadmap across core channels (tour generation, OPC/in-market marketing, digital and call center marketing, in-house marketing, etc.).
  • Analyze the full funnel-lead ? tour ? show ? close ? upgrade-and identify drivers of VPG, take rate, net sales, and marketing ROI.
  • Develop standardized KPIs, metric definitions, and scorecards for executives, regional leaders, and resort teams.
  • Create and maintain advanced Power BI reports and semantic models (DAX measures, drill-downs, row-level security).
  • Design and evaluate test-and-learn programs (A/B tests, pilots, control groups) for new offers, channels, and merchandising strategies.
Data Infrastructure & Fabric Migration
  • Collaborate with database and engineering teams to define business requirements for Microsoft Fabric data models and pipelines.
  • Validate data integrity and reconcile data across CRM, marketing platforms, tour systems, and finance.
  • Contribute to a future-state architecture that supports near-real-time reporting and advanced analytics (segmentation, propensity models, etc.).
Field & Stakeholder Partnership
  • Serve as a trusted analytical advisor to field sales and marketing leaders; participate in key performance reviews and regional calls.
  • Convert analytical findings into simple, actionable narratives operators can execute ("three levers to improve VPG this quarter").
  • Build training and documentation to drive adoption of dashboards and self-service reporting.
Compensation & Finance Support
  • Partner with Finance and Compensation to:
    • Evaluate compensation plan effectiveness (SPIFs, bonuses, tiers, contests).
    • Model "what-if" scenarios and incentive changes, including P&L impact.
    • Support budgeting, forecasting, and target-setting for tours, sales, and marketing spend.
Leadership & Governance
  • Depending on level, lead a small team of analysts; set priorities, coach, and develop analytical talent.
  • Establish governance for metrics, data definitions, and reporting cadences.
  • Champion a data-driven culture across Sales & Marketing and the wider organization.
QualificationsRequired
  • Must have: Proven ability to partner directly with field sales and marketing teams and translate insights for non-technical audiences.
  • 2+ years of experience in marketing, sales, or commercial analytics, including at least 2 years supporting consumer-facing sales or marketing.
  • Strong expertise with Power BI (data modeling, DAX, Power Query) and SQL; experience with Microsoft Fabric or modern cloud data platforms.
  • Demonstrated success building dashboards and analytical products that drive measurable business impact.
Preferred
  • Experience in timeshare, vacation ownership, or related hospitality/travel industries (e.g., Travel + Leisure Co., Hilton Grand Vacations, Marriott Vacations Worldwide).
  • Familiarity with CRM systems and marketing platforms common in timeshare (e.g., Salesforce, call center dialers, digital marketing tools).
  • Experience supporting or designing sales compensation and incentive plans.
Core Competencies
  • Strong business acumen and ability to discuss trade-offs with senior leaders.
  • Excellent communication and storytelling skills.
  • High ownership mindset and bias toward action.
  • Ability to navigate ambiguity and build structure in evolving environments.

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