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About the Role

The MS Sales business operations team oversees Microsoft's revenue reporting process, collaborating with data partners and business users to resolve data or functional issues. This role is crucial for managing end-to-end revenue publishing, identifying and fixing data and code issues, and testing new features. The team also educates external users, analyzes data for reporting accuracy and efficiency, and supports production issues.

Responsibilities

Write, test, and schedule audits for data validation reports using SQL Stored Procedures, Views, and Functions.
Collect and analyze large and complex data sets.
Validate data to ensure accuracy and completeness.
Conduct ad-hoc analysis, solve data discrepancies, and generate actionable business insights.
Handle Level 2 Service Requests from business users.
Provide support for production issues during non-business hours.
Understand data lineage, data quality, and relationships.
Monitor data extract, transform, and load jobs and respond to failures.
Provide development support for assigned platforms and applications.
Document knowledge base articles for Tier-1 and Tier-2 support.
Dedicate 20%-30% of time to development efforts, including automation, data quality checks, application feature development, tabular model development, bug fixes, and reporting.
Perform data engineering activities such as developing and enhancing tools, solutions, and processes based on data analysis and new customer requirements.
Collaborate with clients and team members for performance improvement and suggestions.

Requirements

Intermediate to expert level experience in Microsoft SQL Server, including writing complex queries, debugging stored procedures, DB performance improvement, and developing quality audits.
Intermediate level experience in PowerBI and Excel (VBA, Lookups, pivots, etc.).
Working knowledge of Azure stack (Synapse, Spark/Python, SQL Azure, Azure Data Factory).
Ability to quickly ramp up on Azure technologies.
Experience with project management tools like Azure DevOps (ADO) or JIRA.
Good analytical and problem-solving skills.
Excellent communication skills and ability to work with customer stakeholders and cross-functional teams by effectively understanding business requirements.
Ability to work in an agile environment, deal with ambiguity, and apply critical thinking to achieve results within SLAs.
Systematic and logical approach to problem-solving.
Prior experience in Microsoft landscape or Corporate finance space is preferred.
Willingness to learn new technologies.

Skills

Microsoft SQL Server
PowerBI
Excel (VBA, Lookups, pivots)
Azure Stack (Synapse, Spark/Python, SQL Azure, Azure Data Factory)
Azure DevOps (ADO)
JIRA
SQL Stored Procedures
SQL Views
SQL Functions
Data Analysis
Data Validation
Data Engineering
Tabular Models
Agile Methodologies

Location

United States

Work Type

Full-time

Experience Level

Intermediate
Expert

Salary/Compensations

$120k to $145k

Benefits

Paid time off (Vacation: 12-25 days, Company paid holidays, Personal Days, Sick Leave)
Medical, dental, and vision coverage
Retirement savings plans (e.g., 401(k))
Life and disability insurance
Employee assistance programs

About the Company

Capgemini Invent is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, creating tangible impact for enterprises and society.
Capgemini is a responsible and diverse group of 340,000 team members in over 50 countries.
With over 55 years of heritage, Capgemini is trusted by clients to unlock the value of technology.
The company delivers end-to-end services and solutions from strategy and design to engineering, fueled by capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and partner ecosystem.

Equal Opportunity

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
Capgemini participates in the Partnership Accreditation in Indigenous Relations (PAIR) program.
All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.