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Business Analyst (Data & Analytics)
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Business Analyst (Data & Analytics)
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Business Analyst (Data & Analytics)

at NA

Agency job
5 - 10 yrs
₹12L - ₹15L / yr
Remote only
Skills
Analytics
Data Analytics
Business Analysis

Business Analyst (Data & Analytics) Remote Work, US shift

 

General Scope and Summary

 

The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data, Analytics and Automation capabilities across Enterprise. This global team will deliver “Next-Gen Value” by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. The Business Analyst will be responsible for documenting business processes, use cases and gathering requirements which will enable teams  answer strategic and business questions through data.

 

Roles and Responsibilities

 

Night Shift - Remote Work

Document business processes this includes workflow diagrams, entity relationship diagrams and other supporting documentation

Design new workflows based upon business requirements

Interact with development resources to create the technical requirements

Act as quality assurance liaison prior to release of new data analysis or applications

Write technical documentation for our applications to be provided to customer success for turning into user friendly documentation  

Perform Data Exploration and Analysis

Build simple reports/dashboards

Interact with external stakeholders to address technical issues.

 

Experience, Education and Specialised Knowledge and Skills

 

Must thrive working in a fast-paced, innovative environment while remaining flexible, proactive, resourceful, and efficient.

Strong interpersonal skills, ability to understand stakeholder pain points, ability to analyze complex issues to develop relevant and realistic solutions and recommendations.

Demonstrated ability to translate strategy into action; excellent technical skills and an ability to communicate complex issues in a simple way and to orchestrate solutions to resolve issues and mitigate risks.

 

Basic Qualifications

 

4+ years’ experience in business analytics, data analysis, data management, or related technologies.

Data Related certifications and/or degrees preferred.

Deep technical and domain knowledge related to Analytics, data exploration, business analysis Experience with a variety of business intelligence and analytical software package (e.g., Tableau, Power BI etc.).

Experience with Gathering requirements, creating workflows on data projects

Exposure, and knowledge of primary cloud provider offerings and architectures (AWS, Azure, GCP).

Knowledge of agile methods and delivery techniques.

Experience with Data exploration, profiling like SQL

Experience in working with cross functional teams.

Ability to deliver in fast paced environment with attention to detail and

execution focus

Exceptional verbal and written communication

Ability to work individually, within a cross-functional team, as well as with external partners and vendors

 

Preferred Qualification

 

Awareness of regulatory impacts to data in the Live Sciences business,

such as GxP.

Ability to deliver fast, show quick wins and have the big picture in mind

Ability to work with external vendors and hold them accountable

Ability to juggle multiple priorities and make quick decisions

 

 

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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