Data Analyst
The Data Analyst role at Confidential Client is an entry-level position focused on supporting data analysis, reporting, and validation to aid business decision-making. The analyst will work on collecting and analyzing data, preparing reports and visualizations, identifying trends, and communicating findings to both technical and non-technical stakeholders in an on-site team environment.
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, Staffing and Recruiting; IT Services & IT Consulting; Software Development.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking an entry-level Data Analyst to support business reporting, data validation, and decision-making. This is a hands-on role for someone who enjoys working with data, spotting trends, and converting raw information into clear insights.
- Collect, organize, clean, and analyze structured data from multiple sources
- Use SQL and spreadsheet tools to retrieve, manipulate, and analyze data
- Prepare recurring reports, dashboards, summaries, and data visualizations
- Identify trends, patterns, inconsistencies, and opportunities within datasets
- Validate data accuracy and investigate discrepancies or unusual results
- Support business teams with ad-hoc data analysis and reporting requests
- Translate business questions into clear analytical approaches
- Document analysis methods, assumptions, and findings
- Communicate analytical findings clearly to technical and non-technical stakeholders
- Contribute to continuous improvements in reporting and data processes
Qualifications
Required
- 0–2 years of relevant experience (including internships, co-op, academic projects, or equivalent)
- Foundational knowledge of data analysis concepts and techniques
- Working knowledge of SQL
- Proficiency with Microsoft Excel or comparable spreadsheet tools
- Strong analytical, problem-solving skills, and attention to detail
- Ability to organize information and manage multiple priorities
- Clear written and verbal communication skills
- Comfortable working in an on-site team environment
- Willingness to learn new data tools and technologies
Preferred
- Experience with Power BI, Tableau, or another BI platform
- Exposure to Python, R, or another programming language used for analysis
- Familiarity with relational databases and basic data modeling concepts
- Experience creating dashboards, reports, or data visualizations
- Familiarity with basic statistics and analytical methods
- Experience working with large or complex datasets
- Coursework or project experience in analytics, statistics, computer science, business analytics, mathematics, economics, or related fields
Compensation & Benefits
- Anticipated salary range: $60,000–$80,000 per year (market-based recommendation; final offer confirmed against the employer’s approved compensation range)
- Benefits and additional compensation provided according to employer program terms and eligibility
Work Arrangement
- This is an on-site position in Pennsylvania (PA). Candidates should be prepared to work from the designated worksite on a regular basis.
Compliance & Candidate Notes
- Employment decisions are made based on qualifications, merit, business needs, and other lawful considerations. This posting avoids discriminatory language and complies with applicable U.S. hiring laws.
- Background checks or other pre-employment screenings may be required in accordance with applicable law and employer policy.
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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