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Data Analyst - Skills Taxonomy & Workforce Architecture

Data Analyst - Skills Taxonomy & Workforce Architecture

IBM

3 - 8 years

7 - 11 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

data analysis sas spss sql data visualization python data analytics predictive analytics visual communication machine learning data cleansing data science predictive modeling statistical modeling data exploration research methodology statistics wfm

Work Mode

Work from Office

Job Type

Full Time

Job Description

Objectives of this role

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 Bachelor's Degree 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.

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Data Analyst - Skills Taxonomy & Workforce Architecture