SAP ECC MDG and S4HANA Sr Business Systems Analyst at Illumina

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, GenomicsIndustries

Requirements

Extensive experience in configuring and maintaining SAP ECC modules (MM, SD, PP, LO, HR, FI, CO)
Strong understanding of SPRO configurations to meet business requirements
Proficient in ABAP development, including RICEFW concepts (Reports, Interfaces, Conversions, Enhancements, Forms, Workflows)
Experience adding and mapping new fields in backend tables (MDG Data Modelling)
Experience displaying new fields in the UI (MDG UI Modelling)
Experience altering existing CR processes (MDG Process Modelling)
Experience with BRF+ and MDGIMG for Change Requests
Knowledge of enhancement concepts and WebDynpro/FPM architecture (OOABAP Coding)
Experience with DRF, Consolidation, Mass Processing during initial system setup
Familiarity with the new data model, simplified structures, and technical architecture of S/4HANA
Proficiency with DAP Data Services, SAP Migration Cockpit, and other data migration tools
Understanding of best practices for data extraction, transformation, and loading (ETL) processes
Understanding of HANA database concepts
Ability to analyze and adapt custom ABAP code for S/4HANA compatibility
Experience with integrating S/4HANA with other SAP and non-SAP systems (SAP PI/PO, SAP CPI, etc.)

Responsibilities

Configure and maintain SAP ECC modules: MM, SD, PP, LO, HR, FI, CO
Perform SPRO configurations to meet business requirements
Develop ABAP code using RICEFW concepts
Add and map new fields in backend tables (MDG Data Modelling)
Display new fields in the UI (MDG UI Modelling)
Alter existing CR processes (MDG Process Modelling)
Configure BRF+ and MDGIMG
Understand the new data model and technical architecture of S/4HANA
Utilize data migration tools and techniques
Provide support for HANA database concepts
Adapt custom ABAP code for S/4HANA compatibility
Support the integration of S/4HANA with other systems
Define project scope, deliverables, and schedules
Utilize SAP Readiness Check tool to identify and remediate custom code issues

Skills

SAP ECC

SAP MDG

S/4HANA

ABAP

RICEFW

SPRO

BRF+

MDGIMG

OOABAP

WebDynpro

FPM

DRF

SAP Migration Cockpit

HANA

ETL

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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