Analytics Manager

Client : TE Connectivity

Role : Manager – Analytics, Engineering, & Delivery

Duration : 3-6 months potential to convert to FTE

Location : Offshore / India

Must Have :

Bachelor's in engineering, Computer Science, or related field (Master's preferred).

5+ years leading BI / analytics teams using Power BI, Tableau, and cloud data platforms.

Expertise in semantic modeling, DAX, LOD expressions, SQL, Python / R, and data prep tools.

Experience with Azure, AWS, GCP, and platforms like Databricks, Snowflake, or Synapse.

Familiarity with generative AI tools (e.g., Copilot, Einstein) and cognitive design principles.

Strong communication skills and experience in agile / hybrid delivery environments

Overview :

Oxford client is looking for a Manager level resource to oversee their Analytics Engineering & Delivery function within the company. This resource is responsible for delivering scalable, performant, and insightful analytics solutions that support strategic and operational decision-making across the enterprise. You will be responsible for a team of analytics engineers and oversee the development of enterprise dashboards, semantic models, and data pipelines across Fabric (Power BI), Tableau, and other supported platforms. The position partners closely with Data Architecture, Data Engineering, Governance, and Business Stakeholders to drive consistency, performance, and usability of business analytics products.

Key Responsibilities :

Manage a team delivering enterprise dashboards, semantic models, and data pipelines.

Oversee analytics initiatives including KPI frameworks, cross-platform integration, and visual standards.

Translate business needs into scalable, governed analytical products.

Drive automation, version control, and design consistency across reporting solutions.

Lead agile delivery practices and ensure alignment with enterprise data governance.

Interested please share resume to [HIDDEN TEXT]

Skills Required

Power Bi, Tableau, semantic modeling , Sql, Synapse, Gcp, snowflake , Databricks, Azure, Dax, Python, Aws