Associate Data Analyst
- Location
- Hyderabad, India
- Work model
- On-Site
- Level
- Entry
- Posted
About this role
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody’s perfect – and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview The Associate Data Analyst provides entry-level analytical, reporting, and operational support to help teams maintain accurate data, produce routine insights, and execute well-defined business processes. This role applies foundational data analysis concepts, follows established procedures, and partners with internal stakeholders to validate information, identify discrepancies, support reporting requests, and escalate non-routine issues as appropriate. The associate works under guidance while building knowledge of company systems, data standards, and business processes.
What you will do
Support routine data analysis, reporting, and operational activities within defined workflows and established standards. Perform data entry, maintenance, validation, reconciliation, and quality assurance activities across business systems, reports, and data sources. Review information for accuracy, identify discrepancies, conduct routine research, and coordinate resolution with appropriate stakeholders. Assist with the preparation, distribution, and maintenance of reports, dashboards, analyses, presentations, business documentation, and operational metrics. Support descriptive and diagnostic analysis by summarizing trends, patterns, variances, and data quality issues using readily available information. Follow documented procedures for testing, validating, updating, and documenting reports, data files, and recurring processes. Monitor shared work queues, reporting requests, data issues, and routine inquiries; respond to, route, or escalate items as appropriate. Maintain records, files, documentation, and system data in accordance with company policies, procedures, data governance standards, and applicable requirements. Build effective working relationships within the team and with internal stakeholders while learning business processes, systems, and reporting standards. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree required Experience Qualifications Typically < 2 years in data analysis, reporting, business analytics, business operations or related field required Demonstrated experience in risk management/insurance preferred Skills and Abilities Excellent verbal and written communication skills Ability to communicate with employees and stakeholders at all levels of the organization Strong attention to detail with the ability to follow defined processes and manage multiple routine priorities in a fast-paced environment. Ability to analyze routine data,