Sr Financial 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, HealthcareIndustries

Requirements

Expertise in developing TM1/Planning Analytics model using Architect and Planning Analytics for Excel
4+ years of IBM TM1/Planning Analytics development experience
Experience with IBM TM1/Planning Analytics workspace interface and Pax add-in
Completed multiple budgeting and forecasting systems implementations using structured project methodologies and tools that support requirements, design, development, validation, deployment, and training
Business knowledge of finance and/or accounting functions is a plus
Database skills, SQL skills, Snowflake skills and/or strong Excel modeling skills, including TM1 Planning Analytics for Excel reports
Must have excellent written, verbal and presentation skills
6+ years of related experience with a Bachelor’s degree in computer science, Applied Data Science, Economics, Finance, Accounting, Business Administration, or similar field required; or 6 years and a Master’s degree; or equivalent experience
IBM TM1/Planning Analytics Certifications a plus

Responsibilities

TM1 Planning analytics analyst with strong knowledge in IBM TM1/Planning Analytics to support Finance business partners
Design and implementation of large-scale planning & analysis initiatives serving a wide array of cross-functional groups
Deliver scalable and efficient planning solutions by supporting all phases of the software development life cycle (SDLC), including requirements gathering, design, development, testing and deployment
Support on-going enhancements and implementation of new IBM TM1/Planning Analytics model by building dimensions, alternate hierarchies, dynamic subsets, cubes, rules, feeders, turbo integrator process and reports within Planning analytics for excel
Maintenance of the current planning systems and identifying automation and process improvement opportunities
Develop and implement the best practices for system processes, new models, enhancements, and training
Build and maintain positive relationships with key business partners and understand their reporting needs, issues and provide innovative solutions

Skills

IBM TM1

IBM Planning Analytics

Financial Planning

Business Intelligence

SDLC

Budgeting

Forecasting

Requirements Gathering

Project Implementation

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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