Job Title:
Data & Business Intelligence
Job Description
Responsibilities:
- Lead data-driven recommendations and insights to support strategic projects across Central Operations
- Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
- Understand the business, track operational performance, provide insights and recommendations
- Support company-wide programs through ownership of analytical projects
- Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
- Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
- Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
- Own technical implementations and documentation associated with datasets and strive for 100% accuracy
- Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.
- Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies
Preferred Qualifications:
- BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)
- 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
- 4+ years of experience in Tableau/PowerBI and SQL
- 2+ years of experience in Python
- Exceptional analytical and technical skills, with clear attention to detail
- Ability to leverage numbers and insights to influence & drive sound decision making
Data & Business Intelligence
Job Description
Responsibilities:
-
Lead data-driven recommendations and insights to support strategic projects across Central Operations
-
Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
-
Understand the business, track operational performance, provide insights and recommendations
-
Support company-wide programs through ownership of analytical projects
-
Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
-
Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
-
Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
-
Own technical implementations and documentation associated with datasets and strive for 100% accuracy
-
Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.
-
Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies
Preferred Qualifications:
-
BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)
-
2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
-
4+ years of experience in Tableau/PowerBI and SQL
-
2+ years of experience in Python
-
Exceptional analytical and technical skills, with clear attention to detail
-
Ability to leverage numbers and insights to influence & drive sound decision making
Location:
IND Bangalore - Manyata Blk D4, 2nd Flr
Language Requirements:
Time Type:
Full time
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