Job Description

Overview

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.



The Customer Experience Architecture (CXA) organization leads the design of our AI-enabled integrated Customer Success and Support motions across CE&S and drives the implementation requirements across end-to-end customer experience architectures, improving the quality and experience KPIs across CE&S.



The CE&S Business Intelligence (BI) Team is responsible for delivering data-driven decision-making and self-serve analytics to optimize customer experience and support operations across Microsoft's assisted and self-service support surfaces. We build and manage data platforms and data flows, oversee data and measurement governance, develop Machine Learning (ML) models, manage support-critical data tools, and provide both core and business-specific analytics resources and guidance.


We are seeking a goal-driven Data Analyst with extensive experience in delivering data-driven decision making & self-serve analytics to optimize customer experience and support operations across Microsoft's assisted and self-service support surfaces. In this role, you will lead and collaborate closely with high-impact data analysts and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders and work cross-functionally with engineering teams, product teams, and program management to deploy business solutions.



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

Partner with and understand business needs of your stakeholders, prioritizing & translating those needs into technical requirements for the data & analytics engineering team Determines the technique needed and develops analytic models to understand complex business issues and provide data-driven insights Perform analysis on business operations using a variety of analytical tools (SQL, Python, Azure Databricks, Synapse, Power BI, Fabric etc), executes analyses and interprets results with actionable recommendations, and partners to build on others' frameworks. Design, execute & streamline our intake processes, including user stories, acceptance criteria, bug & data matrices, and subsequent effort estimations and task sequencing Insist & deliver on high standards of quality, including data accuracy & timeliness Ensure all outputs & deliverables adhere to consistent frameworks and standards, including business rule logic & taxonomy Define & measure the success/impact of requested analytics & reporting features via quantitative measures Agile method practice: Practice a highly efficient, iterative design process in accordance with agile methodology To ensure all stakeholders are well-informed, deliver clear, concise, and comprehensive communication tailored to their specific needs and expectations Mentor & teach on best practices - insistent focus on developing greatness in your peers Participate in broader evangelization and communication to relevant Microsoft communities Drive inclusion in everything you do Embody our culture and values

Qualifications

Required/Minimum Qualifications

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 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 equivalent experience. Experience in Power BI modeling & DAX

Other Requirements

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.

Additional or Preferred Qualifications

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience. Knowledge using SQL (window functions, CTEs, performance tuning) and Python/PySpark for data transformations. Experience with Azure data stack: Fabric (Lakehouse/Warehouse, Pipelines, Semantic Models), Synapse, Databricks, Data Factory. Data modeling mastery (dimensional/star schema, SCD, conformed dimensions, KPI standardization). Proven ability to convert ambiguous business needs into implementable technical designs; ship iteratively in agile environments; write high?quality documentation and communicate clearly to diverse audiences.







Data Analytics IC4 - The typical base pay range for this role across Canada is CAD $96,000 - CAD $177,600 per year.


Find additional pay information here:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html



Data Analytics IC4 - L'echelle salariale de base typique pour ce role dans l'ensemble du Canada est de 96,000 $ CAD a 177,600 $ CAD par annee.
Pour plus d'information au sujet de la remuneration, veuillez cliquer ici:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html



Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptees de facon continue jusqu'a ce que le poste soit pourvu.



This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft est un employeur offrant l'egalite d'acces a l'emploi. Tous les candidats qualifies seront pris en consideration pour l'emploi, sans egard a l'age, a l'ascendance, a la citoyennete, a la couleur, aux conges medicaux ou familiaux, a l'identite ou a l'expression de genre, aux renseignements genetiques, a l'etat d'immigration, a l'etat matrimonial, a l'etat de sante, a l'origine nationale, a un eventuel handicap physique ou mental, a l'affiliation politique, au statut de veteran protege ou au statut militaire, a la race, a l'ethnie, a la religion, au sexe (y compris la grossesse), a l'orientation sexuelle ou a toute autre caracteristique protegee par les lois, ordonnances et reglements locaux applicables. Si vous avez besoin d'aide avec des accommodements religieux et/ou d'un accommodement raisonnable en raison d'un handicap pendant le processus de candidature, apprenez-en plus sur la

demande d'accommodement.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process

.