Job Summary We are seeking a seasoned analytics leader to head enterprise analytics initiatives, with a focus on delivering actionable insights, enabling self-service BI, and scaling data science capabilities across the organization. The ideal candidate will bring deep expertise in Power BI, SQL, Microsoft Fabric, ELT pipelines, and applied data science, along with a proven record of driving value through data-driven decision-making. Key Responsibilities Strategic Leadership Define and execute enterprise analytics strategy aligned with business goals. Champion a data-driven culture across departments, enabling effective decision-making through analytics. Collaborate with cross-functional leadership to prioritize analytical initiatives and drive adoption. Business Intelligence (Power BI) Lead the design, development, and optimization of enterprise-grade dashboards and reporting systems using Power BI. Establish Power BI governance including dataset management, workspace structuring, DAX standards, and row-level security (RLS). Mentor and develop Power BI developers and analysts across teams. Drive adoption of Microsoft Fabric, including integration of OneLake, Lakehouse, Data Factory, and Delta Lake for seamless data experiences. Manage and optimize Power BI/Fabric workspaces, datasets, and capacity, ensuring best practices in performance, security, and usability. Data Science & Advanced Analytics Drive analytical use cases using Python and machine learning techniques to solve complex business problems. Collaborate with business stakeholders to develop and track KPIs, performance models, and hypothesis testing frameworks. Data Engineering & ELT Oversee data integration, transformation, and modeling efforts using ELT pipelines and modern data stack tools. Ensure high-quality, well-documented, and timely data pipelines feeding into analytics platforms. Work with IT/Data Engineering to define data lake and data warehouse architectures. SQL & Data Operations Review and optimize SQL queries for performance across large datasets. Promote best practices in query writing, indexing, and data retrieval across analytics teams. Ensure clean, validated, and trusted data layers for reporting and modeling. Governance, Compliance & Performance Establish best practices for data quality, security, and compliance with regulatory requirements (e.g., GDPR, ISO). Monitor usage analytics and platform performance, driving improvements and cost optimization. Develop training plans and guidelines for democratizing analytics access. Qualifications & Skills Required: 15+ years of progressive experience in analytics, business intelligence, and data science. Expertise in Power BI , including DAX, Power Query (M), and Power BI Service. Strong SQL proficiency, with ability to query, transform, and validate large datasets. Working knowledge of data pipelines , ETL/ELT using tools like Azure Data Factory, SSIS, or DBT. Proven experience in data science , machine learning, and statistical modeling (using Python, R). Excellent stakeholder engagement, business acumen, and communication skills. Preferred: Experience with cloud platforms (Azure, AWS, GCP), especially Azure Synapse, Azure Data Lake, and Power Platform. Knowledge of CI/CD pipelines for BI or data science projects. Prior experience in manufacturing, FMCG, financial services, or retail analytics is a plus. Certifications: Microsoft Power BI, Azure Data Engineer/Scientist, or equivalent.

Experience: Minimum 12-15 years of experience in digital transformation, security operations in challenging & startup like work environment. Transformational thinking & ability to drive things in line with the business agenda of exponential growth. Most importantly, self-driven, with high levels of energy. Objective: Dedicated and results-oriented seasoned professional with a solid background in IT security, cloud technology, data center management, and networking. Seeking a challenging position as an operations Manager to leverage expertise in optimizing business processes, ensuring IT infrastructure security, and driving efficiency in a dynamic organizational setting. The person should have a knowledge of SOX compliance & Audits. Professional Experience: Operations Manager Spearhead the overall operations of the organization, overseeing IT security, cloud technology implementation, data center management, and networking infrastructure. Experience of Multilocation handling. Develop and implement strategic plans to enhance operational efficiency and align with business objectives. Ensure the security of IT systems by implementing robust cybersecurity measures, conducting regular audits, and staying updated on the latest security threats and solutions. Collaborate with cross-functional teams to design and implement cloud-based solutions, optimizing resource utilization and scalability. Manage the day-to-day activities of the data center, ensuring uninterrupted operations and implementing disaster recovery plans. Streamline networking processes to enhance communication and connectivity, leading to improved overall organizational productivity. Foster a culture of continuous improvement, implementing best practices and technologies to drive operational excellence. Implemented and managed comprehensive IT security programs, including firewalls, antivirus solutions, and intrusion detection systems. Conducted regular vulnerability assessments and penetration testing to identify and address potential security risks. Developed and delivered training programs to educate employees on cybersecurity best practices and ensure compliance with security policies. Responded promptly to security incidents, conducting thorough investigations and implementing corrective actions. Network : Designed and implemented network solutions, including LANs, WANs, and VPNs, to meet organizational requirements. Monitored network performance, identifying and resolving issues to ensure seamless connectivity. Collaborated with vendors to procure networking equipment and negotiated contracts to optimize costs.