... systems powering NewsBreak's core feeds. * Improve retrieval, ranking, and multi-objective ... analysis . * Identify and resolve issues related to data quality, model drift, and system ...
24 Newsbreak Data Analyst Jobs Hiring Near You
... systems powering NewsBreak's core feeds. * Improve retrieval, ranking, and multi-objective ... analysis . * Identify and resolve issues related to data quality, model drift, and system ...
Senior Account Manager
New York, NY · On-site
Strong analytical skills for data-driven decision making * Excellent communication and interpersonal skills Benefits We offer a competitive benefits package: * Health, dental, and vision care for you ...
Senior Account Manager
New York, NY · On-site
Strong analytical skills for data-driven decision making * Excellent communication and interpersonal skills Benefits We offer a competitive benefits package: * Health, dental, and vision care for you ...
Senior Account Manager
Mountain View, CA · On-site
Strong analytical skills for data-driven decision making * Excellent communication and interpersonal skills Benefits We offer a competitive benefits package: * Health, dental, and vision care for you ...
Senior Account Manager
Mountain View, CA · On-site
Strong analytical skills for data-driven decision making * Excellent communication and interpersonal skills Benefits We offer a competitive benefits package: * Health, dental, and vision care for you ...
Partner with product, infra, and data teams to align technical strategy with business goals ... and analysis. * Help establish standards and shared tooling for AI-driven engineering. 0 1 ...
Partner with product, infra, and data teams to align technical strategy with business goals ... and analysis. * Help establish standards and shared tooling for AI-driven engineering. 0 1 ...
NewsBreak Jobs Information
What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?
To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.
What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?
Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.
What does a Data Analyst do?
A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
How much does an entry level data analyst make?
Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.
What jobs make $3,000 a month without a degree?
Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.
Will AI replace a data analyst?
AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What is the difference between Data Analyst vs Data Scientist?
| Aspect | Data Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools | Bachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees |
| Work Environment | Business settings, focusing on data reporting and visualization | Research and development environments, focusing on predictive modeling and complex algorithms |
| Employer & Industry Usage | Retail, finance, healthcare, and marketing companies | Tech firms, research institutions, and large enterprises |
While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.
What other companies are hiring for Data Analyst jobs?
What are the most popular jobs at Newsbreak?
Senior Machine Learning Engineer, Recommendation & AI Applications
NewsBreakMountain View, CA • On-site, Remote
Other
Medical, Dental, Vision, Retirement, PTO
Posted 12 days ago
Job description
About the Role
We are looking for a Senior Machine Learning Engineer to help evolve our large-scale recommendation systems and apply AI / LLM technologies to real-world production problems. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, while also participating in AI-driven innovation projects that explore new ways to improve content discovery, personalization, and developer productivity. This role is ideal for engineers who enjoy strong individual ownership, hands-on development, and translating ideas into reliable systems.
What You'll Work On
Large-Scale Recommendation Systems
- Design, build, and iterate on high-throughput, low-latency recommendation systems powering NewsBreak's core feeds.
- Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics.
- Own systems from offline training online inference A/B experimentation metric analysis.
- Identify and resolve issues related to data quality, model drift, and system performance in production.
AI & LLM Applications
- Apply LLMs and foundation models to recommendation-related problems such as content understanding, user intent modeling, and feature generation.
- Prototype quickly, validate with experiments, and push successful ideas into production.
AI-Driven Development
- Embrace AI-assisted development workflows, including LLM-powered coding, debugging, and analysis.
- Apply AI across feature ideation, prototyping, and experiment analysis.
0 1 Innovation
- Contribute to 0-1 AI-powered projects, helping take ideas from early exploration to MVP and production.
What We're Looking For
Minimum Qualifications - 3+ years of industry experience building machine learning or recommendation systems in production. - Strong understanding of recommendation system fundamentals (ranking, embeddings, user/item modeling, experimentation). - Strong coding skills with Python / Java / Scala, and experience with PyTorch or TensorFlow. - Experience working with large-scale data and ML systems (e.g., Spark, distributed training, real-time inference). - Ability to own features end-to-end and deliver measurable business impact.
Bonus / Plus Qualifications - Production experience applying AI or LLMs to recommendation systems. - Experience contributing to 0 1 AI or ML-driven products. - Familiarity with AI-assisted development tools and workflows.
Benefits
We offer a competitive benefits package:
- Health, dental, and vision care for you and your family (100% coverage for employee)
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- FSA, HSA and commuter benefits programs
- Team activity budget