Senior Data Analyst - Skills Taxonomy & Workforce Architecture

• Improve, execute, and effectively communicate significant analyses that identify meaningful trends and opportunities across the business.
• Participate in meetings regularly with managers to assess issues and to identify and implement improvements for more-efficient operations.
• Provide strong, timely financial and business analytics for decisions by partners and organizational stakeholders.
• Develop actionable roadmaps for improving workflows and processes, and establish and organize KPIs in line with global directives.
• Comply with all national and local regulations.

Responsibilities

• Interpret data using analytics, research methodologies, and statistical technique.
• Develop and implement data analyses, leveraging collection systems and other strategies that optimize statistical efficiency and quality.
• Serve as liaison between staff and management by analyzing and interpreting data for company procedures, policies, and workflows.
• Prepare, analyze, and summaries operational results for use by various key stakeholders, creating reports, specifications, instructions, and flowcharts.
• Conduct full lifecycle of analytics projects (including pulling, manipulating, and exporting data) from project requirements documentation to design and execution.
• Evaluate key performance indicators, provide ongoing reports, and recommend business plan updates.

Required education

Bachelor's Degree

Preferred education

Associate's Degree/College Diploma

Required technical and professional expertise

• Advanced analytical & critical thinking skills, with experience collecting, organising, and disseminating abundant information accurately.
• Ability to write reports.
• Exceptional verbal, written, and visual communication skills.
• Presentation Skills.
• Ability to work seamlessly with cross functional teams operating across geographies & timezones.
• Emotional Intelligence.

Preferred technical and professional experience

• Bachelor's degree (or equivalent), preferably in Computer Science / Information Science.
• Experience in Client Communication
• Proficiency with statistics and dataset analytics (using SPSS, SAS, Excel, SQL) is an added advantage.
• Experience in Data Cleaning & preparation, Data exploration & analysis, Data Visualisation & Reporting is a plus.

ABOUT BUSINESS UNIT

IBM Corporate Headquarters (CHQ) team represents a variety of functions such as marketing, finance, legal, operations, HR, and more, all working together to solve some of the world's most complex problems, help our clients achieve success and build collaborative work environments for IBMers.

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Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

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ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

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