Overview
On Site
USD 103,800.00 - 200,300.00 per year
Full Time
Skills
Microsoft Windows
IOS Development
Android
Product Management
Cross-functional Team
Forecasting
KPI
Accountability
Data Integrity
BMC Remedy
Advertising
Marketing
Analytical Skill
Dashboard
Visualization
Management
Collaboration
Data Management
Leadership
FOCUS
Communication
Privacy
Data Modeling
Promotions
Workflow
Extract
Transform
Load
Statistics
Mathematics
Computer Science
Economics
Data Analysis
Data Science
Business Intelligence
Financial Analysis
SQL
DML
DDL
Relational Databases
Cloud Computing
Analytics
Reporting
Microsoft Power BI
Tableau
Big Data
SQL Azure
Storage
Data Lake
Microsoft Azure
Python
MDX
DAX
C#
Continuous Integration
Continuous Delivery
Business Analytics
IC
Internal Communications
Integrated Circuit
Legal
Recruiting
Microsoft
Job Details
Microsoft Casual Games develops some of the most popular and enduring games in the world. From Solitaire to Sudoku, Minesweeper to Mahjong, for over 30 years Casual Games has delighted players of all ages with exciting, engaging gameplay on Windows, iOS, Android, and the Web.
The Microsoft Casual Games Analytics & Insights (A&I) Team is hiring a Senior Data Analyst supporting product management, marketing, production, advertising, and executive functions. As a member of a dynamic cross-functional team, you will contribute to an exciting and diverse set of analytics projects, including ETL (extract, transform, load), forecasting, reporting, and critical KPI measurement for Casual Games and Gaming leadership. Leveraging cutting-edge technology in Microsoft Azure and Microsoft Fabric, you will help Casual Games expand its modern, scalable analytics environment to meet the needs of a business reaching 40 million players a month.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
Data Expertise
Identify and curate appropriate data sources supporting daily business and player engagement performance and to address needs of specific business initiatives. Determine best methods for integrating data into the Casual Games analytics environment. Address data integrity and quality monitoring and remedy. Work with large, complex data sets across many different business domains (for example advertising, marketing, game telemetry). Contribute to development of ETL, data modeling, query, and reporting deliverables.
Data Analysis
Determine appropriate analytical techniques to address business questions and support business initiatives. Execute and operationalize analyses and interpret results for stakeholders. Critically evaluate choice of tools, techniques, assumptions, and deliverables outcomes. Work across a diverse set of data sources and devise novel analytical approaches to combine and make sense of that data.
Reporting
Share and simplify findings and insights to identify the key outcomes and recommendations to support future and in flight business initiatives. Leverage dashboards, reports, ad-hoc data query and visualization, and spreadsheets to capture analysis raw data and insights. Recommend and make improvements to reporting insights and data models.
Business Landscape
Develop and understanding of the business, the Casual Games data estate, and the management requirements of that data. Investigate relevant data sources, anticipate data requirements, and work across Gaming to understand and leverage source data appropriately. Identify themes and connections across Casual Games, Gaming and Corporate data sources to recommend efficient data management and analysis patterns. Develop understanding of Casual Games player behaviors.
Stakeholder Orientation
Work closely and directly with internal and external Casual Games, Gaming, and Corporate stakeholders. Understand the core needs of the Casual Games business and the analytics requirements of Casual Games teams. Assist teams and leadership to understand and interpret business performance, player engagement, and business initiative results. Prepare data-based recommendations to those teams regarding adjustments to current initiatives or focus areas of future initiatives. Independently investigate relevant data sources to help lead stakeholder teams in measuring and reporting on business results.
Ability to work effectively across multiple stakeholders, understanding their business needs and recommending prioritization and solution delivery to the Analytics Director. Effective written and in-person communication skills.
Data Privacy and Governance
Understand data privacy requirements governing data usage and storage. Ensure Casual Games adheres to latest requirements, ensure work products are aligned to same, and understand where from and how to seek guidance regarding use and handling of data.
Improvement and Efficiency
Recommend end-to-end efficiency improvements regarding ETL, data modeling, data curation, analytics steps, and reporting. Test and document all work to ensure validity, accuracy, and to recommend ad-hoc workload promotion to operationalized workflows.
Qualifications:
Required Qualifications
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft will accept applications for the role until May 30, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#gamingjobs
The Microsoft Casual Games Analytics & Insights (A&I) Team is hiring a Senior Data Analyst supporting product management, marketing, production, advertising, and executive functions. As a member of a dynamic cross-functional team, you will contribute to an exciting and diverse set of analytics projects, including ETL (extract, transform, load), forecasting, reporting, and critical KPI measurement for Casual Games and Gaming leadership. Leveraging cutting-edge technology in Microsoft Azure and Microsoft Fabric, you will help Casual Games expand its modern, scalable analytics environment to meet the needs of a business reaching 40 million players a month.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
Data Expertise
Identify and curate appropriate data sources supporting daily business and player engagement performance and to address needs of specific business initiatives. Determine best methods for integrating data into the Casual Games analytics environment. Address data integrity and quality monitoring and remedy. Work with large, complex data sets across many different business domains (for example advertising, marketing, game telemetry). Contribute to development of ETL, data modeling, query, and reporting deliverables.
Data Analysis
Determine appropriate analytical techniques to address business questions and support business initiatives. Execute and operationalize analyses and interpret results for stakeholders. Critically evaluate choice of tools, techniques, assumptions, and deliverables outcomes. Work across a diverse set of data sources and devise novel analytical approaches to combine and make sense of that data.
Reporting
Share and simplify findings and insights to identify the key outcomes and recommendations to support future and in flight business initiatives. Leverage dashboards, reports, ad-hoc data query and visualization, and spreadsheets to capture analysis raw data and insights. Recommend and make improvements to reporting insights and data models.
Business Landscape
Develop and understanding of the business, the Casual Games data estate, and the management requirements of that data. Investigate relevant data sources, anticipate data requirements, and work across Gaming to understand and leverage source data appropriately. Identify themes and connections across Casual Games, Gaming and Corporate data sources to recommend efficient data management and analysis patterns. Develop understanding of Casual Games player behaviors.
Stakeholder Orientation
Work closely and directly with internal and external Casual Games, Gaming, and Corporate stakeholders. Understand the core needs of the Casual Games business and the analytics requirements of Casual Games teams. Assist teams and leadership to understand and interpret business performance, player engagement, and business initiative results. Prepare data-based recommendations to those teams regarding adjustments to current initiatives or focus areas of future initiatives. Independently investigate relevant data sources to help lead stakeholder teams in measuring and reporting on business results.
Ability to work effectively across multiple stakeholders, understanding their business needs and recommending prioritization and solution delivery to the Analytics Director. Effective written and in-person communication skills.
Data Privacy and Governance
Understand data privacy requirements governing data usage and storage. Ensure Casual Games adheres to latest requirements, ensure work products are aligned to same, and understand where from and how to seek guidance regarding use and handling of data.
Improvement and Efficiency
Recommend end-to-end efficiency improvements regarding ETL, data modeling, data curation, analytics steps, and reporting. Test and document all work to ensure validity, accuracy, and to recommend ad-hoc workload promotion to operationalized workflows.
Qualifications:
Required Qualifications
- Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
- OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
- OR equivalent experience
- 3+ years experience in ETL (Extract, Transform, Load) related work
- 1+ years experience using Azure Data Factory
- 4+ years experience using SQL for both DML and DDL operations
- Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 7+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
- OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.
- OR equivalent experience
- 3+ years experience using Azure Data Factory
- 5+ years experience using SQL for both DML and DDL operations
- 2+ years experience using Python language
- 5+ years experience using relational databases
- 2+ years experience using cloud-based analytics patterns (storage, compute)
- 2+ years experience building reporting data models (Power BI, Tableau, etc.)
- 6+ years designing, architecting and operating large scale big data services
- 5+ years experience with SQL, Azure Data Factory, data lake storage, data lake query, data lake patterns
- 1+ years experience with Azure Synapse
- 3+ years experience Python language, KQL, MDX, DAX
- Familiarity with C#
- 2+ years experience with modern CI/CD best practices
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft will accept applications for the role until May 30, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#gamingjobs
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.