We are seeking a motivated Data Analyst to join our team and drive actionable insights for our US-based IT clients. You will work across datasets, develop reports & dashboards, and partner with business stakeholders to translate data into decisions. This is a fantastic opportunity for international candidates (F1/OPT/H-1B) to grow in a US work environment.
Key Responsibilities:
- Collect, clean, and analyse data from multiple sources (databases, spreadsheets, APIs).
- Develop and maintain dashboards, visualisations, and reports to support business decisions.
- Collaborate with business units (e.g., recruitment operations, client-services, staffing analytics) to define metrics and KPIs.
- Use statistical methods to identify trends, anomalies, and opportunities.
- Communicate findings clearly to technical and non-technical stakeholders.
- Participate in data-governance, documentation, and data-quality improvement initiatives.
Required Skills & Tools:
- Strong proficiency in SQL for querying relational databases.
- Excellent skills in Microsoft Excel (pivot tables, formulas, data cleaning).
- Experience with a programming language such as Python (pandas, NumPy, etc.) or R. Splunk+2DataCamp+2
- Familiarity with business intelligence / data visualisation tools like Tableau or Power BI. H2K Infosys+1
- Experience working with cloud data platforms (e.g., Google BigQuery, AWS Redshift) or at least exposure to cloud-based analytics. H2K Infosys+1
- Ability to clean, transform, and wrangle data (ETL workflows). Alation+1
- Strong analytical mindset, excellent communication skills, and ability to work in a fast-paced environment.
- Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, Economics) or equivalent experience.
- Bonus: Experience working in staffing/recruiting analytics or familiarity with visa/immigration data flows.
What We Offer:
- Opportunity to work with US-based clients and gain exposure to global staffing analytics.
- Mentorship and growth opportunities (we support visa-sponsored hiring).
- Hybrid working model – some onsite/office days in Austin, remainder remote.
- Competitive compensation + benefits (to be discussed during interview).
How to Apply:
Please submit your resume (with “Data Analyst” in the subject line) to sd9527881@gmail.com and include:
- Visa status F-1 OPT,STEM, and H-1B, etc)
- Relevant tool/technology experience
- A 1-page summary of a data-analysis project you have done (can be academic, personal, or professional)
- We will review applications on a rolling basis and reach out to qualified candidates for a phone screening.
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