Manager – Business Intelligence

Job Description

About iSOCRATES : Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI : MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth – so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Key Responsibilities : Team Leadership & Strategy : – Lead and mentor a team of BI analysts and engineers, fostering a data-driven culture within iSOCRATES. – Drive the BI strategy, ensuring alignment with business goals and key performance indicators (KPIs). – Collaborate with senior leadership to identify opportunities for data-driven decision-making and automation. – Own end-to-end BI project delivery, ensuring data integrity, efficiency, and innovation. Data Management & Insights : – Oversee data collection, storage, integration, and governance to ensure accuracy, consistency, and security. – Work closely with the DevOps/IT/Data Engineering/AI team to manage data warehouse architecture, ETL pipelines, and API/non-API integrations. – Ensure smooth implementation of data visualization and reporting solutions for both internal and client projects. – Conduct data profiling and quality checks to detect anomalies and improve data reliability. Technical Leadership & Innovation : – Design and implement scalable BI solutions, optimizing existing tools and processes. – Leverage expertise in SQL, Python, Data Warehousing, ETL, and Cloud (AWS/Azure/GCP) to enhance BI infrastructure. – Develop and maintain interactive dashboards using Power BI, Tableau, Sisense, Superset or Excel. – Drive automation in reporting, reducing manual effort and improving efficiency. – Evaluate new technologies and methodologies to enhance data analysis and visualization capabilities. Stakeholder Collaboration & Communication : – Work closely with internal/external stakeholders to define BI requirements. – Translate business needs into technical solutions, ensuring data aligns with strategic goals. – Provide thought leadership on data trends and best practices, advocating for data-driven decision-making. – Present insights and recommendations to senior executives to drive business growth and operational efficiency. Required Qualifications : – 10 years of experience in Business Intelligence, Data Analytics. – 3 years of experience in team leadership and project management within BI. – Strong expertise in SQL, Python, ETL processes, and Data Warehousing. – Hands-on experience with BI tools (Power BI, Tableau, Sisense, Superset, Excel, etc.). – Proficiency in Cloud platforms (AWS) and understanding of data modeling. – Experience handling large-scale data and implementing automation in reporting. – Strong problem-solving skills, business acumen, and ability to work in a fast-paced environment. – Excellent communication, stakeholder management, and presentation skills. Preferred Qualifications : – Master’s Degree in Business Administration, Computer Science, or Data Analytics. – Experience in AdTech, MarTech, or Digital Marketing Analytics. – Exposure to AI/ML-driven BI solutions. (ref:hirist.tech)