Juniorl Data Analyst/Scientist (Remote)
This entry-level Data Analyst/Scientist role at Confidential Client focuses on preparing candidates with practical skills in SQL, Python, Spark, and cloud ETL patterns to succeed in competitive tech interviews and secure full-time positions. The position supports recent graduates and career switchers by providing hands-on pipeline projects, interview coaching, and resume optimization to enhance employability in data and software development roles. The role is fully remote and aims to bridge the gap between academic knowledge and employer expectations in the tech industry.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client (via Careertakes) is hiring a Junior Data Analyst / Scientist for an entry-level, full-time role with remote-friendly options. This position is anchored to San Jose, CA (role may include remote work), and is a great fit for recent graduates or early-career data professionals who want hands-on experience with data pipelines, analytics, and foundational data science tools.
What You’ll Do
You will support data teams by preparing data, running analyses, and helping build reliable data workflows. Typical responsibilities include:
- Perform data cleaning and transformation using SQL and Python
- Build and optimize queries for reporting and analysis
- Assist in developing data pipelines and documenting ETL patterns
- Support experiments and basic machine learning tasks (data prep, model validation)
- Work with cloud-based data tools and platforms (Databricks, Snowflake, or similar)
- Create clear visualizations and written summaries for stakeholders
- Collaborate with engineers, product managers, and other analysts to translate business questions into data solutions
Minimum Qualifications
Candidates should meet most of the following:
- Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or a related field — or equivalent practical experience
- Solid SQL skills (writing and optimizing queries)
- Practical experience with Python for data tasks (pandas, numpy, basic scripting)
- Understanding of basic statistics and data validation techniques
- Strong problem-solving and communication skills
- Demonstrated projects or coursework that show end-to-end data work (class projects, internships, personal projects)
Preferred (Nice-to-Have)
- Experience with Spark and Databricks
- Familiarity with cloud data platforms (AWS, GCP, or Azure) and Snowflake
- Exposure to streaming concepts or real-time ETL patterns
- Portfolio or GitHub with completed pipeline or analytics projects
- Prior internship or work experience in analytics, BI, or data engineering
Compensation & Employment Details
- Employment type: FULL_TIME
- Location: San Jose, CA (remote-friendly / TELECOMMUTE option)
- Salary range: $78,000 - $127,000 per year (provided by the employer)
- Hired by: Confidential Client (you will be a direct employee of the client)
Note: The posted salary range complies with pay transparency expectations for listings in California. Final offer will consider experience, skills, and applicable state/local laws.
Why Join
- Entry-level friendly — focus on learning and mentoring
- Work on real-world data problems and build production-aware projects
- Exposure to modern data stack tools and cloud platforms
- Supportive environment for candidates transitioning into data roles
Legal & Accessibility
Careertakes and our client comply with all applicable US federal and state employment laws. Reasonable accommodations are available for applicants with disabilities during the hiring process; please contact Careertakes if you require assistance.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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