Explore the top Data Science & Analytics job opportunities in August 2025 across the USA. Open roles include Data Analysts, Senior Data Analysts, and Data Engineers at Target, CDW, Snowflake, and more. Apply now!

🚀 Data Science & Analytics Job Opportunities – August 2025

The demand for data professionals continues to grow at an impressive pace. Companies in healthcare, retail, technology, and finance are increasingly leveraging big data and analytics to shape their business strategies. Whether you are an aspiring Data Analyst, an experienced Senior Analyst, or looking to step into Data Engineering, there are plenty of exciting opportunities available in 2025.

This article highlights some of the most relevant data science and analytics jobs in the USA for August 2025. From globally recognized corporations like Target and Snowflake to mission-driven organizations like Neighborhood Healthcare, these openings represent diverse industries and skill sets.

💼 Featured Data Science & Analytics Job Roles

1. Senior Data Analyst – Target (Minneapolis, MN)

• Experience Level: Entry-Mid-level (around 3 years)
• About the Role: Target, one of the largest retail chains in the United States, is seeking a Senior Data Analyst to support its operations and business insights. The role involves working with large datasets, identifying patterns, and providing actionable recommendations to improve customer experience and operational efficiency.
• Why Join Target? Target offers employees the chance to work with advanced analytics tools while impacting millions of customers nationwide.
• Apply Here: Target Careers

2. Senior Data Analyst – Neighborhood Healthcare (Escondido, CA)

• Experience Level: Mid-Senior-level (around 5 years)
• About the Role: Neighborhood Healthcare, a nonprofit community health organization, is hiring a Senior Data Analyst to oversee healthcare data systems. Responsibilities include analyzing patient outcomes, creating predictive models, and supporting clinical decision-making.
• Why Join Neighborhood Healthcare? This is an opportunity to use your data expertise to make a direct impact on public health and community care.
• Apply Here: Neighborhood Healthcare Careers

3. Data Analyst – CDW (Chicago, IL)

• Experience Level: Entry-level (1–2 years)
• About the Role: CDW, a leading provider of IT solutions, is looking for a Data Analyst to support business operations. The position involves gathering data, preparing reports, and working with cross-functional teams to support data-driven decisions.
• Why Join CDW? CDW offers early-career professionals a chance to gain exposure to IT, analytics, and business operations at a Fortune 500 company.
• Apply Here: CDW Careers

4. Data Engineer – Snowflake (Dublin, CA)

• Experience Level: Entry-Mid-level (3–5 years)
• About the Role: Snowflake, a global leader in cloud-based data platforms, is hiring a Data Engineer to develop and maintain scalable data pipelines. Candidates will work with big data technologies, cloud environments, and high-performance systems.
• Why Join Snowflake? Snowflake is one of the most innovative data companies in the world, making this role ideal for professionals passionate about cutting-edge data engineering.
• Apply Here: Snowflake Careers

🌟 Why Choose a Career in Data Science & Analytics?

The data-driven revolution is reshaping industries at every level. Skilled professionals who can analyze, interpret, and manage data are highly valued. Here’s why careers in this field are in such high demand:

• High Job Security: Data roles are consistently ranked among the most secure and in-demand.
• Excellent Salary Potential: Positions like Data Scientist and Data Engineer often command six-figure salaries in the U.S.
• Cross-Industry Demand: From healthcare to e-commerce, nearly every sector needs data professionals.
• Opportunities for Growth: Professionals can move from entry-level analyst roles to senior management or specialized AI/ML positions.

📈 Skills Employers Are Looking For

To succeed in these roles, candidates should focus on developing both technical and business-oriented skills:

• Programming Languages: Python, R, SQL.
• Data Visualization Tools: Tableau, Power BI, Looker.
• Big Data & Cloud: AWS, Azure, GCP, Hadoop, Spark.
• Statistics & Machine Learning: Regression, classification, clustering, predictive analytics.
• Soft Skills: Problem-solving, communication, and storytelling with data.

📝 Application Tips for Data Jobs

1. Tailor Your Resume: Highlight your analytics projects, technical skills, and measurable achievements.
2. Build a Portfolio: Showcase your work through GitHub, Kaggle, or personal projects.
3. Highlight Industry Knowledge: For healthcare or retail roles, emphasize relevant domain expertise.
4. Leverage Networking: Connect with recruiters and professionals via LinkedIn to increase visibility.
5. Stay Updated: Continuous learning in new tools and frameworks will set you apart.

✅ How to Apply

All candidates are encouraged to apply directly through the official career pages linked above. These companies do not accept applications through third-party comments or messages, so it is important to follow the provided links.

• Application Locations: Minneapolis, Escondido, Chicago, and Dublin (California).
• Deadline: Varies by employer – early application is encouraged.

🙌 Spread the Word

If you know someone seeking data science or analytics roles in the U.S., share this opportunity with them. A single recommendation can help someone land their dream job.

📌 Note: The author is not affiliated with the listed companies. All applications must be submitted directly to the company’s career portal.

🚫 Please do not comment “I’m interested.” Apply directly using the links above.