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SAP SAC Consultant – Google Analytics & Power BI (Experience Analytics)

PranaTree

5 - 10 years

Bengaluru

Posted: 15/06/2026

Job Description

Job Title

SAP SAC Consultant Google Analytics & Power BI (Experience Analytics)

Role Overview

We are looking for a senior SAP SAC Consultant with deep experience in digital/customer experience analytics to design and implement an end-to-end analytics solution combining Google Analytics (GA4/BigQuery) and SAP data (BW on HANA now, S/4HANA later) in SAP Analytics Cloud (SAC). The consultant will help us capture and model front-end experience data from our SAP Commerce/Hybris platforms and expose it alongside core SAP data in SAC dashboards and stories for business stakeholders.

Key Responsibilities

  • Design and implement an end-to-end analytics architecture to capture and model customer experience data from SAP Commerce/Hybris (B2C, B2B, B2B2C) using Google Analytics / GA4 and BigQuery as the core data store.
  • Configure and optimize Google Analytics tracking for our Hybris-based storefronts (login success/fail, page views, time on page, product views, click paths, funnel steps, and interaction zones on the screen).
  • Define and implement the data integration approach to expose Google BigQuery data in SAP Analytics Cloud with a strong focus on zero-copy / live data access wherever technically feasible.
  • Build SAC models, stories, and dashboards that combine Google Analytics experience KPIs with SAP data (ECC BW on HANA today, S/4HANA in the future) to deliver a unified view across digital behavior and transactional metrics.
  • Work with SAP Datasphere (and/or equivalent SAP data layer) to design data products and replication strategies where zero-copy is not viable, including modeling and preparing GA, IoT, telemetry, and SAP data for consumption in SAC.
  • Define the future-state architecture so that, as we move from ECC/BW on HANA to S/4HANA, existing SAC stories can be repointed with minimal redesign (data source strategy, connections, and modeling guidelines).
  • Collaborate closely with SAP, eCommerce, and data engineering teams to define tracking requirements, data contracts, and SLAs for experience data ingestion into BigQuery and/or Datasphere.
  • Establish best practices and governance for SAC development (naming standards, security/roles, transports, versioning) and performance tuning of models and stories.
  • Partner with business stakeholders to define KPIs, measurement plans, and reporting use cases, and translate them into robust, self-service SAC and/or Power BI dashboards.
  • Provide knowledge transfer, documentation, and architectural guidance to internal teams on SAC, Datasphere, and Google Analytics integration patterns.

Required Skills and Experience

  • Strong, hands-on expertise in SAP Analytics Cloud (SAC):
  • Data modeling, live/acquired connections, calculations, and story/dashboard design.
  • Security, roles, and performance optimization in SAC.
  • Deep experience with Google Analytics / GA4 and the Google Marketing Platform stack:
  • Implementing and tuning web tracking for complex eCommerce journeys (B2C, B2B, B2B2C).
  • Building and maintaining data exports to BigQuery, including schema definition and KPI design.
  • Practical experience integrating BigQuery data into SAP SAC, with a strong preference for zero-copy / live data access patterns and familiarity with the constraints and trade-offs involved.
  • Solid background in SAP data landscape:
  • Current-state: SAP ECC feeding BW on HANA (reporting and modeling experience).
  • Future-state: S/4HANA and how SAC connects natively to S/4 (live connections, CDS views, etc.).
  • Hands-on experience with SAP Datasphere (or SAP Data Warehouse Cloud) for:
  • Designing data models combining SAP and non-SAP sources (e.g., GA/BigQuery, IoT/telemetry).
  • Defining replication strategies and data pipelines where zero-copy is not achievable.
  • Working knowledge of Power BI for:
  • Building complementary dashboards where needed and integrating with existing reporting landscape.
  • Consuming SAP and/or BigQuery data models for ad-hoc and advanced analytics.
  • Strong understanding of digital analytics, funnel analysis, and customer journey KPIs for eCommerce platforms (e.g., login, search, product detail, cart, checkout, and error journeys).
  • Demonstrated ability to work as an analytics architect: defining end-to-end data flows, integration patterns, and migration paths (ECC/BW S/4HANA) while keeping business-facing reports stable.
  • Excellent communication skills with the ability to translate technical constraints into clear options and recommendations for business stakeholders.

Nice-to-Have

  • Experience with SAP Commerce Cloud / Hybris data structures and event tracking.
  • Exposure to IoT / telemetry data integration into Datasphere/SAC.
  • Prior work in SAP-centric organizations undergoing ECC to S/4HANA transitions.


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