Data & Analytics Manager

Data & Analytics ManagerJob OverviewWe are looking for an experienced Data & Analytics Manager to lead end-to-end data management, data engineering, integration, governance, quality, and analytics enablement initiatives. The role will be responsible for delivering reliable, scalable, governed, and business-ready datasets supporting media reporting, campaign performance measurement, retail operations, marketing analytics, and executive dashboards.The Data & Analytics Manager will work closely with Data Engineers, Data Analysts, IT, Marketing, Media, and Business stakeholders to ensure that data pipelines, data models, reporting assets, and analytics solutions are accurate, scalable, well-governed, and aligned with business objectives.Key Responsibilities1. Data Strategy & ManagementOwn and define the overall data management strategy across source systems, cloud data platforms, analytics layers, and reporting tools.Establish standards for data ingestion, transformation, validation, documentation, and consumption.Define scalable data solutions to support campaign reporting, audience insights, media performance, promotional analytics, and retail operations.Partner with business stakeholders to understand data requirements and translate them into technical solutions.Establish data management best practices, processes, and standards across teams.2. Data Pipeline & IntegrationOversee the design, development, maintenance, and optimization of enterprise data pipelines.Manage data ingestion and integration across platforms such as Snowflake, Google BigQuery, Microsoft Azure, and other enterprise systems.Ensure efficient ETL/ELT processes and reliable movement of data between source and target systems.Coordinate with Data Engineering and IT teams to troubleshoot pipeline failures and performance issues.Establish monitoring, alerting, error-handling, reconciliation, and exception-management processes.Support cloud-based data integration and architecture patterns using Microsoft Azure services.3. Data Quality, Governance & ComplianceDefine and enforce data quality standards covering validation, normalization, standardization, reconciliation, and completeness.Establish processes to monitor, identify, prioritize, and resolve data quality issues.Implement data governance practices covering accuracy, consistency, security, privacy, and compliance.Maintain documentation for data sources, data definitions, mappings, transformation logic, business rules, and data lineage.Ensure data handling processes comply with organizational governance, privacy, and regulatory requirements.Promote metadata management and consistent business definitions across data assets.4. Data Modeling & Analytics EnablementOversee data modeling initiatives across BigQuery, Snowflake, Azure, and Looker.Guide development and maintenance of LookML models and semantic data models.Ensure datasets are optimized for dashboards, self-service analytics, reporting, and advanced analytics.Partner with analysts and business stakeholders to validate KPIs, metrics, business logic, and reporting outputs.Enable development of actionable dashboards and reports for marketing, media, retail, and leadership teams.5. Retail Media & Business AnalyticsManage data supporting retail media campaigns, marketing performance, media reporting, promotional activities, and retail operations.Partner with marketing and media teams to provide reliable data for campaign optimization and measurement.Support analysis of campaign performance, customer engagement, retail behavior, audience insights, and operational trends.Help translate complex data into actionable business recommendations.Support KPI frameworks, performance measurement, and reporting standards.6. Team Leadership & Stakeholder ManagementLead and coordinate Data Engineers, Data Analysts, and other technical resources involved in data delivery.Act as a bridge between business stakeholders, IT, engineering, analytics, and marketing teams.Prioritize data initiatives, manage dependencies, and ensure timely delivery of data products.Facilitate project planning, status reviews, stakeholder meetings, and delivery discussions.Promote best practices across data engineering, analytics, governance, documentation, and quality.Communicate complex technical concepts clearly to both technical and non-technical stakeholders.Required Skills & QualificationsProven experience in Data Management, Data Engineering, Analytics, Business Intelligence, or Data & Analytics leadership.Strong understanding of ETL/ELT, data pipelines, data integration, and data transformation.Hands-on or strong working knowledge of Google BigQuery, Snowflake, and Microsoft Azure.Experience with Azure data services and cloud-based data integration patterns.Strong SQL skills for data querying, validation, reconciliation, and analysis.Experience with Looker and dashboarding/BI platforms.Working knowledge of LookML and semantic data modeling.Understanding of Python-based data processing using Pandas, NumPy, PySpark, or similar technologies.Strong knowledge of data quality, data governance, metadata management, data lineage, and compliance.Experience working with media, marketing, retail, advertising, or customer datasets.Strong analytical, problem-solving, communication, and stakeholder-management skills.Ability to manage large datasets while ensuring accuracy, scalability, reliability, and performance.Preferred QualificationsExperience with Retail Media Networks, AdTech, Digital Media, Marketing Analytics, or Retail Analytics.Experience managing or leading cross-functional Data Engineering and Analytics teams.Knowledge of campaign performance measurement, audience analytics, media reporting, and retail transaction data.Experience with modern cloud data architectures, particularly Microsoft Azure.Experience defining KPI frameworks, metric governance, semantic models, and reporting standards.Strong ability to bridge technical and business teams.Experience working in Agile/Scrum environments.Strong leadership, prioritization, and project-delivery skills.Technology StackCloud & Data Platforms:Microsoft Azure | Google BigQuery | SnowflakeData Engineering:ETL | ELT | Data Pipelines | Data Integration | Data Transformation | Data QualityProgramming & Processing:SQL | Python | Pandas | NumPy | PySparkBI & Analytics:Looker | LookML | Semantic Data Modeling | Dashboards | Reporting | KPI AnalyticsGovernance:Data Governance | Metadata Management | Data Lineage | Data Quality | Data Security | ComplianceBusiness Domains:Retail Media | Digital Media | Marketing Analytics | Campaign Measurement | Retail Operations | Promotional Analytics