Senior Consultant- Data Analytics

1 week ago

Taguig, National Capital Region, Philippines Innovior Full time

Innovior is a leading boutique Digital Transformation consultancy.

We began as a specialist in Intelligent Automation and quickly expanded our services to include Salesforce, ServiceNow, Anaplan, Data, Cloud and Managed Services.

This strategic shift enabled us to offer our clients a comprehensive suite of bespoke solutions for their digital transformation initiatives.

Since our inception in 2016, our team has expanded to include 140 dedicated professionals based in Sydney, Melbourne, India, and the Philippines. Our expertise spans Management Consulting, Experience Design, Supply Chain Optimization, Workforce Planning, and Data & AI.

Leveraging innovative technologies, we help clients optimize their operations, enhance customer experiences, and maintain a competitive edge. Our client-centric approach, coupled with deep industry knowledge, allows us to deliver tailored solutions that drive meaningful outcomes and fuel success.

Join our passionate team and be part of our exciting growth journey at Innovior, and help us shape the future of digital transformation

The Role – Senior Data Consultant

As a Senior Data Consultant, you will play a pivotal role in leading and supporting the growth of our Data & Analytics business. Your responsibilities will involve designing and implementing complex data solutions across projects, while providing expert guidance to clients.

In this role you will:
  • Identify business problems, articulate objectives and success measures, and translate requirements into current/future state solutions and analytical tools that demonstrate realizable benefits.
  • Elicit requirements, design, build and deploy advanced models and analytical solutions.
  • Be responsible for the architectural approach and vision for all technical components of the solution and leadership of the technical teams.
  • Develop practices and routines to support data science and automation of analytical based assets into business processes.
  • Define approaches and methodologies with specialization and demonstrates expert knowledge in support of project delivery and sales.
  • Be responsible for the quality and delivery of technical deliverables and leading overall projects or critical work streams.
  • Be an expert in best practices for the design and build of data models and data pipelines.
  • Create an exceptional client experience by understanding their expectations, seeking feedback, and engaging around value delivered.
Key Responsibilities:
  • Data Modeling & Architecture - Design and implement efficient data lake and data warehouse architectures using Azure Data Lake Storage Gen2, Synapse Analytics, or SQL Database.
  • Create and maintain star/snowflake schemas, partitioning strategies, and metadata models.
  • Design & Build Scalable Data Pipelines.
  • Develop robust data ingestion and transformation pipelines using Azure Data Factory, Azure Synapse Pipelines, or Databricks.
  • ETL/ELT Development - Build and maintain ETL/ELT pipelines for structured and unstructured data.
  • Leverage tools like Azure Data Factory, Databricks, or Synapse Mapping Data Flows.
  • Power BI Development & Optimization - Design and develop interactive and scalable Power BI reports and dashboards.
  • Build semantic models using Power BI Desktop with strong DAX and Power Query skills.
  • Optimize dataset performance and implement row-level security where needed.
  • Publish, schedule, and monitor datasets in Power BI Service, integrating with Azure datasets where applicable.
  • Performance Optimization - Tune and optimize SQL queries and pipeline performance. Implement cost-efficient strategies for data movement and storage.
  • DevOps & CI/CD for Data Pipelines - Implement CI/CD pipelines using Azure DevOps for data deployments. Manage ARM templates, Bicep, or Terraform for infrastructure provisioning.
  • Mentoring & Technical Leadership - Provide guidance to junior data engineers.
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