v4c.ai

• Responsible for ensuring the security of AWS cloud infrastructure by designing, implementing, and managing security controls. • Monitoring for vulnerabilities and responding to security incidents. • Collaborate closely with the cloud engineering and operations teams to safeguard systems and data.

• Design, develop, and maintain scalable microservices-based applications using .NET technologies. • Enhance the robustness and performance of our distributed systems. • Collaborate closely with cross-functional teams to deliver high-quality solutions.

• Lead enterprise data governance strategy, policies, and standards. • Manage and implement Unity Catalog for centralized governance and access control. • Drive data quality, metadata management, lineage, and cataloging initiatives. • Partner with engineering, analytics, security, and business teams to enforce governance best practices. • Define data stewardship and ownership frameworks. • Ensure compliance with security and regulatory standards. • Communicate effectively with technical and non-technical stakeholders to drive governance adoption and resolve challenges.

• Lead and support end-to-end analytics processes including data acquisition, transformation, analysis, and reporting. • Manage and optimize data workflows within the Databricks platform to improve efficiency, performance, and cost management. • Analyze key business performance metrics such as CTP, CVR, engagement, and funnel performance to identify trends and optimization opportunities. • Investigate data trends, user behavior, and performance issues to identify root causes and recommend solutions. • Translate analytical findings into clear business requirements for A/B testing, funnel optimization, and product improvements. • Collaborate with data engineering and cross-functional teams to resolve data discrepancies and ensure data accuracy across systems. • Document business and technical requirements for roadmap initiatives, data tagging enhancements, and technical refresh projects. • Support strategic planning for data initiatives, including KPI tracking, reporting, and performance measurement. • Work closely with stakeholders to align analytics solutions with business goals and priorities.

• Process payroll accurately and on time for all company employees. • Ensure compliance with statutory requirements and labor laws related to payroll. • Maintain payroll records, including attendance, leaves, and benefits. • Coordinate with HR and accounting departments for reconciliation and reporting. • Assist in budgeting, financial forecasting, and expense tracking. • Prepare reports related to payroll and finance as required by management. • Identify opportunities to improve payroll processes and financial controls.

• Conduct thorough data analysis to identify trends, patterns, and insights to inform business decisions. • Create and maintain dashboards and reports to facilitate data-driven storytelling for stakeholders. • Collaborate with cross-functional teams to gather requirements and deliver high-impact data solutions. • Use statistical methods to interpret data and validate models for accurate forecasting. • Mentor junior analysts, providing guidance on data analysis techniques and best practices. • Stay up-to-date with industry trends and technologies to continually improve the data analysis process.

Job Title: Senior Data Analyst Type: Contract Experience Level: Senior V4C.ai is searching for a skilled Senior Data Analyst to join our dynamic team. In this role, you will harness your analytical expertise and business acumen to convert data into meaningful insights, driving strategic decision-making across the organization. You will be responsible for analyzing complex data sets, presenting findings to stakeholders, and guiding data-driven strategies for our clients. Key Responsibilities - Conduct thorough data analysis to identify trends, patterns, and insights to inform business decisions. - Create and maintain dashboards and reports to facilitate data-driven storytelling for stakeholders. - Collaborate with cross-functional teams to gather requirements and deliver high-impact data solutions. - Use statistical methods to interpret data and validate models for accurate forecasting. - Mentor junior analysts, providing guidance on data analysis techniques and best practices. - Stay up-to-date with industry trends and technologies to continually improve the data analysis process.

• Act as the Power BI Subject Matter Expert (SME) and technical leader for enterprise analytics initiatives. • Architect, design, and implement enterprise-scale Power BI solutions aligned with data governance and platform standards. • Lead development of scalable dashboards and reporting solutions handling large transactional datasets (1M+ rows). • Design and maintain enterprise semantic models and reusable data layers. • Translate complex business requirements into intuitive, interactive Power BI dashboards. • Optimize report performance using advanced DAX, data modeling techniques, and query optimization strategies. • Establish Power BI governance, standards, and best practices across teams. • Partner with data engineering teams to align data pipelines with reporting requirements. • Bridge business and technical teams to ensure successful analytics adoption. • Drive modernization initiatives by transitioning legacy reporting into self-service analytics solutions. • Provide architectural guidance and mentorship to onshore/offshore analytics teams.

• Collaborate with team members and stakeholders to understand data requirements and contribute to building scalable data pipelines and workflows in Databricks. • Develop and implement ETL/ELT processes using Databricks, Python, SQL, and related tools to ingest, transform, and prepare data. • Assist in optimizing data workflows for better performance, reliability, and cost-efficiency within Databricks environments. • Support the creation and maintenance of data models, tables, and integrations in cloud platforms (Azure, AWS, or similar). • Work closely with cross-functional teams (data analysts, scientists, and engineers) to deliver clean, accessible data for analytics and reporting. • Monitor data pipelines, troubleshoot basic issues, and contribute to documentation and best practices. • Stay curious about new Databricks features and data engineering trends to support ongoing improvements.

• Manage the complete sales cycle—from lead generation and cold outreach to networking and deal closure. • Work closely with Databricks Account Executives and Client Partners in a partner-led sales model to drive new business across global markets.