Global Finance Buffer 158171

**QUALIFICATIONS & EXPERIENCE**:

- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field (post-graduation from reputed institutes would be preferred)
- 8-10 years of industry experience in data visualization, data analysis, or a related field with deep focus in BI or data warehousing or any analytics projects
- Experience in Business Intelligence is mandatory.
- Experience in Business Analysis or Quality Assurance in BI or Analytics programs, with at least one end-to-end implementation.
- Querying and Analyzing data: Strong analytical skills with the ability to work with large and complex data sets for data exploration as well as troubleshooting for outliers.
- Ability to analyze and interpret numbers, trends, patterns, and data to develop new conclusions based on the findings.
- Must possess excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Experience in data storytelling and creating compelling visual narratives.
- Domain experience in Corporate Finance/ FP&A would be a plus.
- Ability to collaborate and communicate with Finance SMEs, technical architects, report development teams, financial analysts, QA teams, and management.
- Must have the ability to single-handedly communicate requirements/issues/concerns to the end stakeholders.
- Must have prior exposure to change management /communication/socialization profiles with end user.
- Must value to operate in a collaborative and cooperative environment. Ability to work independently and as part of a cross-functional team.
- Exposure to transformation projects would be a plus

**Tools Knowledge**:

- Must possess intermediate SQL knowledge in current profile
- Hands-on proficiency with at least one of the major dashboarding platforms viz. Microsoft Power BI or Tableau is mandatory
- Familiarity with Python, or other data analysis languages is a plus
- Knowledge of tools like SmartSheet and Microsoft Project would be highly beneficial.
- Knowledge of tools for testing like HP ALM & QTP would be a plus
- Knowledge of Hyperion Essbase/Smart view would be a plus

#LI-DNI

**QUALIFICATIONS & EXPERIENCE**:

- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field (post-graduation from reputed institutes would be preferred)
- 8-10 years of industry experience in data visualization, data analysis, or a related field with deep focus in BI or data warehousing or any analytics projects
- Experience in Business Intelligence is mandatory.
- Experience in Business Analysis or Quality Assurance in BI or Analytics programs, with at least one end-to-end implementation.
- Querying and Analyzing data: Strong analytical skills with the ability to work with large and complex data sets for data exploration as well as troubleshooting for outliers.
- Ability to analyze and interpret numbers, trends, patterns, and data to develop new conclusions based on the findings.
- Must possess excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Experience in data storytelling and creating compelling visual narratives.
- Domain experience in Corporate Finance/ FP&A would be a plus.
- Ability to collaborate and communicate with Finance SMEs, technical architects, report development teams, financial analysts, QA teams, and management.
- Must have the ability to single-handedly communicate requirements/issues/concerns to the end stakeholders.
- Must have prior exposure to change management /communication/socialization profiles with end user.
- Must value to operate in a collaborative and cooperative environment. Ability to work independently and as part of a cross-functional team.
- Exposure to transformation projects would be a plus

**Tools Knowledge**:

- Must possess intermediate SQL knowledge in current profile
- Hands-on proficiency with at least one of the major dashboarding platforms viz. Microsoft Power BI or Tableau is mandatory
- Familiarity with Python, or other data analysis languages is a plus
- Knowledge of tools like SmartSheet and Microsoft Project would be highly beneficial.
- Knowledge of tools for testing like HP ALM & QTP would be a plus
- Knowledge of Hyperion Essbase/Smart view would be a plus

**Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP**: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job perf