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Sia Partners in Mumbai is seeking a Data Analytics Manager to lead a client-facing analytics practice within our Data & AI group. You will own a portfolio of engagements, translate complex business challenges into scalable data solutions, and guide a team of Data Analysts to deliver high-impact insights.
You will oversee end-to-end analytics delivery, ensure governance and data quality, and present strategic recommendations to senior stakeholders while fostering collaboration and continuous
Sia is a next-generation, global management consulting group. Founded in 1999, we were borndigital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility.We’reoptimists forchangeand we help clientsinitiate, navigate, andbenefitfrom transformation. We believe optimism is a force multiplier, helping clients mitigatedownsideand maximizeopportunity. Withexpertiseacross a broad range of sectors and services, our consultants serve clients worldwide. Ourexpertisedelivers results. Our optimism transforms outcomes.
We are looking for aData Analytics Managerto join our growing Data & AI practice in Mumbai. This is a client-facing leadership role responsible for delivering high-impact analytics solutions across multiple client engagements while leading and developing a team of Data Analysts.
In this role, you will own a portfolio of client engagements, partnering closely with business and technology stakeholders to translate complex business challenges into scalable, data-driven solutions. You will oversee end-to-end analytics delivery, ensure the highest standards of quality and governance, andprovidestrategic guidance to clients while balancing multiple priorities across projects.
You will lead a team ofData Analysts, fostering a culture of collaboration, continuous learning, and delivery excellence. Combining strong technicalexpertisewith consulting and people leadership skills, you will drive successful project outcomes, mentor team members, and contribute to the growth of Sia's Data & AI consulting capabilities.
Lead the successful delivery of analytics initiatives across multiple client portfolios, ensuring projects are delivered on time, within scope, and to the highest quality standards.
Build andmaintaintrusted relationships with client stakeholders, acting as the primary point of contact for analytics engagements and translating business requirements into actionable data solutions.
Manage multiple concurrent projects by defining scope, estimating effort,allocatingresources, and proactively managing risks, dependencies, and stakeholder expectations.
Lead, mentor, and develop a team of approximately 8 Data Analysts through coaching, performance management, career development, and continuous technical upskilling.
Provide technical leadership across Power BI, SQL, data modelling, and business intelligence solutions, ensuring adherence to best practices, governance standards, and scalable solution design.
Oversee the design, development, validation, and deployment of dashboards, reports, semantic models, and analytics solutions that enable informed business decision-making.
Collaborate with Data Engineers and client technology teams to ensure reliable data pipelines, efficient ETL processes, and high-quality data for reporting and analytics.
Establish andmaintainstandards for documentation, testing, data quality, report governance, and production readiness across all analytics deliverables.
Present analytical insights and strategic recommendations to senior business stakeholders and executive leadership in a clear and business-focused manner.
Drive continuous improvement across analytics delivery by implementing best practices, promoting innovation, andidentifyingopportunities to expand analytics capabilities within existing client engagements.
Support business development activities by contributing to solution design, client proposals, andidentifyingopportunities foradditionalanalytics services within client accounts.
Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.