Data Analyst - Junior Level (Remote)
This is a full-time, remote junior-level Data Analyst position at Confidential Client focused on helping recent graduates and professionals with limited experience or career gaps gain hands-on skills and employment in the tech industry. The role targets candidates seeking to build expertise in data analysis and related fields such as data engineering, machine learning, and full stack development, emphasizing practical skills aligned with current employer demands. SynergisticIT supports candidates through skill development and connects them with clients for job opportunities.
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.
What You’ll Do
Confidential Client is looking for a junior / entry-level Data Analyst to join their IT hiring pool. This remote role supports IT teams by helping collect, prepare, and surface actionable insights that inform business and technical decisions. This is an early-career role suited to recent graduates, career changers, or professionals returning to the workforce.
- Support data collection and basic data cleaning to prepare datasets for analysis
- Produce routine reports and dashboards that summarize key metrics
- Assist cross-functional teams (product, engineering, business) with ad-hoc data requests
- Validate and document data sources and assumptions
- Learn on the job and grow toward independent analysis and ownership of projects
- Communicate findings clearly in written and verbal form
What We’re Looking For
We welcome applicants from diverse backgrounds, including recent graduates and candidates with non‑linear career paths.
- Recent grads in Computer Science, Engineering, Mathematics, Statistics, or related fields — OR equivalent coursework/projects
- Strong analytical mindset and attention to detail
- Clear written and verbal communication skills
- Eagerness to learn, receive feedback, and grow technical abilities
- Comfortable working remotely and collaborating across time zones (Seattle-area hours preferred)
- Authorized to work in the United States
Preferred / Nice-to-Have
(These are not strict requirements; candidates with relevant coursework, capstones, internships, or self‑directed projects are encouraged to apply.)
- Hands-on academic or project experience analyzing datasets and presenting results
- Familiarity with creating reports or dashboards (class projects, internships, or volunteer work count)
- Demonstrated ability to explain technical ideas to non-technical stakeholders
Location & Schedule
- Remote (telecommute) — U.S. applicants only; alignment with Pacific Time is helpful
- Full-time
Compensation & Process
- Estimated annual salary (job board estimate): $142,217 per year — listed as an estimate and may vary by role, level, and location.
- Typical hiring steps: resume screen, recruiter interview, hiring manager interview, possible take-home assignment or technical exercise. Careertakes may share candidate profiles with the client and related hiring teams for matching purposes.
- AI tools may be used to assist with initial resume screening; all final hiring decisions are made by people.
Why Apply via Careertakes
- We are a third-party recruiting platform helping place early-career IT talent with confidential clients across the U.S.
- Candidates often gain access to multiple matched opportunities tailored to their background.
- We support candidates with non-traditional experience, career gaps, and recent graduates.
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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