- Trivandrum
- 5 - 0 Years
- Not disclosed
- Senior Geospatial Engineer
- Today
We are looking for 14+ Years experienced project manager for this role. Job Description We are looking for experienced Project Manager with deep Retail domain expertise to lead complex data integration and analytics deployments. In this role, you will act as the crucial bridge between technical data engineering teams and retail business stakeholders, ensuring enterprise data models are implemented seamlessly, on time, and within scope. Candidate who is open for relocation for 6-month Mexico Need to work in US working hours: 6:00 PM -3:00 AM Key Responsibilities Drive the planning, execution, and successful delivery of 6-month retail analytics and data warehouse implementation projects for enterprise clients. Act as a subject matter expert in retail operations. Translate business requirements related to Point of Sale (POS), omnichannel demand, supply chain, and merchandising into technical deliverables. Facilitate communication between our internal technical teams (data engineers, BI analysts) and the client’s retail executives, ensuring alignment on project goals. Manage sprint planning, resource allocation, risk mitigation, and continuous status reporting in a fast-paced, remote, cross-cultural environment. Operate with a high degree of autonomy and an "owner's mindset" to self-manage deliverables across LATAM and US time zones.
We are looking for a qualified and experienced Company Secretary to ensure robust corporate governance and statutory compliance across all business functions. This is an excellent opportunity for a dynamic professional with over 5 years of experience to play a key strategic role in a growing company. Key Responsibilities: Ensure compliance with the Companies Act and other regulatory requirements. Organize and manage Board Meetings, Annual General Meetings (AGMs), and other statutory meetings. Draft agendas, minutes, resolutions, and maintain statutory registers and records. File necessary returns and documents with regulatory authorities (ROC, MCA, etc.). Advise the management on corporate governance and legal matters. Liaise with government departments, regulators, legal consultants, and internal teams. Support internal and external audits, due diligence processes, and corporate filings. Monitor changes in relevant legislation and the regulatory environment.
We are looking for an experienced Power BI Developer with deep technical expertise to design, develop, and maintain interactive dashboards that drive insights from high-volume, event-driven data. In this role, you will be tackling complex analytics for platforms that generate massive amounts of user-action events (scaling to thousands of concurrent operators in large enterprise environments). The ideal candidate must possess end-to-end Power BI capabilities, moving beyond standard visual creation to robust data modeling, advanced DAX, and full-stack troubleshooting to translate complex operator data into actionable business intelligence. Responsibilities include: Event-Driven Analytics: Design, develop, and maintain interactive Power BI dashboards focused on large-scale event analytics and operator activity tracking. Full-Stack Ownership: Independently diagnose and resolve performance bottlenecks and data issues across the entire Power BI stack (data ingestion, M language, DAX, and visual rendering). Requirement Translation: Collaborate with stakeholders to grasp complex business challenges and translate ambiguous requirements into clear, scalable analytical solutions. Advanced Calculation: Develop and optimize complex DAX calculations, measures, KPIs, and calculated columns optimized for high-frequency data. Data Modeling: Build efficient, highly optimized data models using star and snowflake schemas tailored to handle heavy event-log datasets. ETL Management: Create and maintain robust ETL workflows using Power Query (M Language). Data Integration: Integrate Power BI with SQL Server, Azure, APIs, and other enterprise data sources. Security Implementation: Implement Row-Level Security (RLS) to securely manage data access across different user tiers and operational teams. Maintenance: Schedule dataset refreshes and proactively troubleshoot refresh failures in large enterprise datasets. Documentation: Prepare clear documentation for reports, data models, and dashboards.