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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Data Analyst