Analytics Lead

The Analytics lead is a key role within the Enterprise Data team. We are looking for expert Power BI lead with deep data visualization experience, and excellent capability around DAX, SQL and data modelling techniques. This is a unique opportunity to be involved in delivering leading-edge business analytics using the latest and greatest cutting-edge BI tools, such as cloud-based databases, self-service analytics and leading visualisation tools enabling the company’s aim to become a fully digital organisation.

Job Description:

Responsibilities

• Lead and manage a team of Power BI Developers, providing guidance, direction, and support in their day-to-day activities
  • Define and design data visualation models and solutions within the Microsoft Azure ecosystem, including Power Bi, Azure Synapse Analytics, MSFT Fabric and Azure Machine Learning.
  • Develop strategies for Analytics, reporting and governance to ensure scalability, reliability, and security.
  • Collaborate with business stakeholders to define their analytics and reporting strategies
  • Ensure alignment of solutions with organizational goals, compliance requirements, and technology trends.
  • Act as a subject matter expert (SME) in Analytics services, mentoring senior/junior Power BI Developers teams.
  • Evaluate emerging technologies and anlaytical capabilities
  • Provide guidance on cost optimization, performance tuning, and best practices in Azure cloud environments.
• Stakeholder Collaboration:
  • Partner with business stakeholder, product managers, and data scientists to understand business objectives and translate them into technical solutions.
  • Work with DevOps, engineering, and operations teams to implement CI/CD pipelines and ensure smooth deployment of analytical solutions.
• Governance and Security:
  • Define and implement policies for data governance, quality, and security, ensuring compliance with GDPR, HIPAA, or other relevant standards.
  • Optimize solutions for data privacy, resilience, and disaster recovery.

Qualifications

Required Skills and Experience

• Technical Expertise:
  • Proficient in Power BI and related technology including MSFT Fabric, Azure SQL Database, Azure Synapse, Databricks and other visualuation
  • Hands-on experience with Power BI, machine learning and AI services in Azure.
  • Excellent data visualation skills and experinence
• Professional Experience:
  • 12+ years of experience in Power BI Development, with demonstrable experience designing high-quality models and dashboards using Power BI, transforming raw data into meaningful insights
  • 8+ years experience using Power BI Desktop, DAX, Tabular Editor and related tools
  • 5+ Years experience using Power BI Premium capacity administration
  • 5+ Years SQL development experience
  • Comprehensive understanding of data modelling, administration, and visualization
  • Good knowledge and understanding of Data warehousing conceptions, Azure Cloud databases, ETL (Extract, Transform, Load) framework Leadership and Communication:
  • Exceptional ability to communicate technical concepts to non-technical stakeholders and align teams on strategic goals.
  • Experience in leading cross-functional teams and managing multiple concurrent projects.
• Certifications (Preferred):
  • Relevant certifications in Power BI, machine learning, AI, or enterprise architecture.

Key Competencies

• Expertise in data visualization tools such as Power BI or Tableau.
• Expertise in creating semantic models for reporting
• Familiarity with the Microsoft Fabric technologies including One Lake, Lakehouse and Data Factory
• Strong understanding of data governance, compliance, and security frameworks.
• Familiarity with DevOps and Infrastructure as Code (IaC) tools like biceps or Azure Resource Manager (ARM) templates.
• Proven ability to drive innovation in data strategy and cloud solutions.
• A deep understanding of business intelligence workflows and the ability to align technical solutions
• Strong database design skills, including an understanding of both normalised form and dimensional form databases.
• In-depth knowledge and experience of data-warehousing strategies and techniques e.g., Kimball Data warehousing
• Experience in Cloud based data integration tools like Azure Data Factory
• Experience in Azure Dev Ops or JIRA is a plus
• Experience working with finance data is highly desirable

Familiarity with agile development techniques and objectives

Location:

DGS India - Mumbai - Thane Ashar IT Park

Brand:

Dentsu

Time Type:

Full time

Contract Type:

Permanent