Lead Data Analyst

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 women and people of color are less likely to apply to jobs unless they meet every single requirement. At TriNet, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, we encourage you to apply anyway. You may just be the right candidate for this or other roles.

A Brief Overview
The Lead Data Analyst will be responsible for planning, conducting, and delivering data analysis and requirements to solve complex business problems through data solutions. In this role, you will work directly with internal business partners and Information Architects from various functions and levels within the organization to implement data solutions. 

Locations
Hyderabad, India (In-Office)

What you will do
Requirements Gathering & Analysis
Collaborate with business units to gather and document business requirements.
Analyze business processes and identify areas where data solutions can add value.
Translate business needs into functional specifications for data solutions.

Data Solutions Development
Work with IT and data teams to design and implement data solutions.
Develop data models, data flows, and data integration processes.
Ensure data solutions align with business objectives and IT strategies.

Data Analysis & Reporting
Perform data analysis to identify trends, patterns, and insights.
Develop and deploy dashboards and reports to support business decision-making.
Provide actionable insights and recommendations based on data analysis.

Collaboration & Communication
Work closely with stakeholders to ensure data solutions meet business needs.
Promote data-driven decision-making and best practices across the organization.
Communicate data solutions goals, progress, and outcomes to senior management.

Process Improvement
Identify opportunities for process improvements through data analysis.
Develop and implement strategies to enhance data collection, analysis, and reporting.
Monitor and optimize data solutions to ensure efficiency and effectiveness.

Risk Management
Identify data-related risks and develop mitigation strategies.
Ensure data solutions support data privacy and security requirements.

Data Modeling & Design
Develop and maintain conceptual data models.

Work Hygiene
Demonstrate exceptional organizational skills, attention to detail, and the ability to work collaboratively across the organization to drive impactful results.

Education Qualifications
Bachelor's Degree in information science, data management, computer science or related field or equivalent experience preferred

Experience Qualifications
Typically 8+ years experience in data analysis, business analysis or computer programming
Typically 2+ years Experience working with industry standards, regulations, and guidelines in database warehousing and other relevant systems.
Experience working with domain structures; conceptual, logic and physical.

Skills and Abilities
Strong understanding of data management concepts, including data governance, data quality, data integration, and master data management. 
Proficiency in data analysis techniques, data profiling tools, and data quality management tools. 
Experience with data integration tools and technologies (e.g., ETL, data pipelines, API integrations). 
Knowledge of data privacy regulations (e.g., GDPR, CCPA) and experience implementing data privacy controls. 
Familiarity with data cataloging and metadata management tools. 
Strong SQL skills for data analysis and manipulation. 
Excellent analytical and problem-solving abilities, with a keen eye for detail. 
Strong communication and collaboration skills, with the ability to effectively convey complex data-related concepts to both technical and non-technical stakeholders. 
Ability to work independently and in a team environment, managing multiple priorities and delivering high-quality results within deadlines. 
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. 
Familiarity with data architecture principles and data modeling concepts is advantageous. 
Knowledge of industry standards and best practices related to enterprise data management. 
Continuous learning mindset, staying up-to-date with the latest data management trends and technologies. 

Travel Requirements
Minimal

Work Environment
Work in clean, pleasant, and comfortable office setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. 
This position is 100% in office.

Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.

TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact ****** to request such an accommodation.