Explore the latest Data Science & Analytics job opportunities. Open roles include Data Analysts, BI Engineers, Data Engineers, and Data Scientists at top companies like Optum, Disney, Spotify, and more. Apply today!
🚀 Data Science & Analytics Job Opportunities
The field of Data Science and Analytics continues to be one of the fastest-growing domains worldwide. Organizations across industries are relying heavily on data to drive decisions, improve customer experiences, and innovate new products. As a result, demand for skilled Data Analysts, Data Engineers, BI Engineers, and Data Scientists is at an all-time high.
If you are actively job hunting, this curated list of open roles will help you identify exciting opportunities. Whether you are an entry-level professional or an experienced candidate, companies are hiring talent across multiple levels. From healthcare and entertainment to sportswear and biotechnology, these job openings highlight the diverse career paths within data-driven industries.
💼 Featured Open Roles in Data Science & Analytics
1. Data Analyst – Optum (Draper, UT | Remote Options)
- Level: Entry-level (around 2 years of experience)
- About the Role: Optum, part of UnitedHealth Group, is hiring a Data Analyst to support healthcare data solutions. This position involves analyzing patient and provider data, developing reports, and ensuring compliance with healthcare regulations.
- Apply Here: Optum Careers
2. Data Analyst – The Walt Disney Studios (Burbank, CA)
- Level: Entry-level (around 2 years of experience)
- About the Role: Disney is searching for a Data Analyst to work within its entertainment division. The position will involve supporting content analytics, marketing insights, and production performance dashboards. This is an ideal opportunity for candidates passionate about both data and entertainment.
- Apply Here: Disney Careers
3. Sr. Data Analyst – Under Armour (Remote)
- Level: Entry to Mid-level (2+ years of experience)
- About the Role: As a Senior Enterprise Data Analyst, you will work remotely with Under Armour’s global analytics team. The role focuses on business intelligence, sales forecasting, and strategic reporting to enhance decision-making for the brand.
- Apply Here: Under Armour Careers
4. Data Analyst – BCD Travel (Remote)
- Level: Entry-level (around 2 years of experience)
- About the Role: BCD Travel is hiring a Data Analyst to manage travel-related datasets, customer reports, and performance metrics. If you’re interested in combining data analytics with the travel industry, this is a fantastic role.
- Apply Here: BCD Travel Careers
5. BI Engineer – The Aaron’s Company (Atlanta, GA)
- Level: Mid-level (3+ years of experience)
- About the Role: As a Business Intelligence Engineer, you will design, build, and maintain BI solutions for Aaron’s retail operations. The role requires expertise in SQL, data modeling, and dashboard creation.
- Apply Here: Aaron’s Careers
6. Data Engineer – Genentech (New York, NY)
- Level: Mid-level (3+ years of experience)
- About the Role: Genentech, a leader in biotechnology, is hiring a Data Engineer to support data pipelines, integration, and large-scale scientific data analysis. This position is perfect for professionals interested in healthcare innovation and advanced data technologies.
- Apply Here: Genentech Careers
7. Data Scientist – Spotify (New York, NY)
- Level: Entry to Mid-level (3+ years of experience)
- About the Role: Spotify is hiring a Data Scientist to focus on music analytics, user behavior insights, and recommendation systems. If you are passionate about applying machine learning and analytics to enhance user experiences in music streaming, this opportunity stands out.
- Apply Here: Spotify Careers
🌟 Why Consider a Career in Data Science & Analytics?
Data is the backbone of the modern economy. Businesses across all sectors—from healthcare to media—depend on data professionals to extract meaningful insights and drive decisions. A career in data analytics not only provides high earning potential but also offers job stability, continuous learning, and the chance to make measurable impacts.
Some key advantages of working in data science and analytics include:
- High Demand: Companies in technology, finance, healthcare, and retail consistently hire skilled professionals.
- Career Flexibility: Skills in analytics can be applied across industries.
- Attractive Salaries: Data professionals often earn above-average pay due to specialized skills.
- Global Opportunities: Many companies offer remote or hybrid roles, expanding job access worldwide.
📈 Skills in Demand for Data Science Jobs
To thrive in these roles, candidates should focus on both technical and analytical skills:
- Technical Tools: SQL, Python, R, Excel, Tableau, Power BI.
- Statistical Analysis: Hypothesis testing, regression, and predictive modeling.
- Machine Learning: Knowledge of algorithms, classification, clustering, and recommendation engines.
- Data Engineering: ETL pipelines, big data tools (Hadoop, Spark), and cloud technologies (AWS, GCP, Azure).
- Soft Skills: Communication, problem-solving, and storytelling with data.
✅ How to Apply for These Jobs
Interested candidates should directly apply through the official career links provided above. Each company has its own application process, and it is essential to prepare your resume and cover letter tailored to the job requirements. Highlight your technical expertise, analytical skills, and any relevant project experience.
Remember: These roles are competitive. Make sure your application reflects not only your technical strengths but also your ability to contribute value to the company’s data initiatives.
🙌 Spread the Word
If you know someone who is actively job hunting in the data science and analytics domain, share this list with them. A single opportunity can make a huge difference in their career path.
📌 Note: I am not affiliated with these companies. Please apply directly via the official links provided.
🚫 Kindly do not comment “I’m interested” — instead, apply directly to the jobs listed above.
