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$33K

$81.5K

$140K

How much do data analytics 300k jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analytics 300k in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is data analytics 300k?

Data Analytics 300K jobs refer to high-level roles in the field of data analytics that typically offer annual salaries of $300,000 or more. These positions are usually held by experienced professionals such as lead data scientists, analytics directors, or chief data officers in large organizations. Individuals in these roles are responsible for overseeing data-driven decision making, managing large teams, and developing strategies that leverage big data to achieve business goals. Achieving this salary level generally requires advanced technical skills, leadership experience, and a track record of delivering significant business impact through analytics.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in data interpretation, often supported by a degree in mathematics, statistics, or computer science. Familiarity with technical tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights for diverse stakeholders. These competencies are crucial for making informed business decisions and driving organizational success through actionable data insights.

What are some common challenges faced by data analysts working on high-impact, large-scale projects?

Data analysts involved in high-impact, large-scale projects often encounter challenges such as managing and cleaning vast amounts of unstructured or inconsistent data, ensuring data privacy and compliance, and communicating complex findings to non-technical stakeholders. Collaboration with cross-functional teams is frequent and essential, which requires strong interpersonal and project management skills. Balancing multiple deadlines and adapting quickly to shifting project priorities are also key aspects of this role.

What is the difference between Data Analytics 300K vs Data Analyst?

AspectData Analytics 300KData Analyst
Required CredentialsTypically requires a bachelor's or master's in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystUsually requires a bachelor's degree in related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentOften in corporate, finance, or tech sectors; involves large datasets and advanced toolsIn various industries; focuses on data collection, cleaning, and basic analysis
Employer & Industry UsageUsed by large organizations seeking high-level insights and strategic decision-makingUsed across industries for operational insights and reporting

Data Analytics 300K typically refers to high-level, specialized roles requiring advanced skills and certifications, often in large organizations. Data Analysts focus on data collection, cleaning, and basic analysis, suitable for a broader range of industries. The main difference lies in the complexity of tasks, required credentials, and the level of strategic impact.

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Data Analytics 300K jobs near you
Infographic showing various Data Analytics 300K job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Senior Python Backend Engineer [$300K/yr] TS/SCI FS-Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$300K/yr

Other

Re-posted 21 days ago

Job description

Candidates must already possess an active Top Secret/SCI w. Full Scope Polygraph to be considered for this position. Build scalable, automated enterprise workflows. Join our team to engineer robust backend microservices and RESTful APIs using Python (Django/Flask) and MongoDB, modernizing and streamlining critical system security processes across the project lifecycle. Qualifications & Compensation: • MongoDB Subject Matter Experts only • Responsible for deployment, configuration, and management of MongoDB environments • Troubleshoot and resolve performance, replication, and scaling issues • Design and support highly available and scalable MongoDB architectures • Perform performance tuning, indexing, and query optimization • Manage backup, recovery, and overall database health and reliability • Candidates who meet these requirements will receive an annual compensation of approximately [$300K/yr] Job Description: • Develop capabilities to shift from a manual evaluation system to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project. • Direct the development of complex systems using queries, tables, and database storage and retrieval using Cloud methodologies for the design, development, implementation, information storage and retrieval, data flow and analysis. • Direct the overall database structure to fit into the overall architecture of the system. • Create new workflows to take over existing processes as needed as well as provide break/fix requests or updates. • Lead development of database structures, database parser software, and database loading software. • Direct fulfillment of requirements from a project inception to conclusion. Preferred Requirements: • Python, Django or Flask • ReST Endpoint Development • Micro-Service Model • Swagger • AWS, C2S or other cloud experience • Docker • Visual Studio Code or similar IDEs, JSON and/or XML serialization • Jira, Confluence • Git version control • Experience working in Agile environment About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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