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Senior Analytical Lead

Microsoft

Senior Analytical Lead

Microsoft

United States, Illinois, Chicago; United States, New York, New York; United States, Washington, Redmond; United States, California, Los Angeles; United States, Massachusetts, Boston; United States, Georgia, Atlanta; United States, California, San Francisco; United States, California, Mountain View; United States, Texas, Austin; United States, Michigan, Detroit

·

On-site

·

Full-time

·

2w ago

Compensation

$106,400 - $203,600

Required Skills

Data analysis

Statistics

PowerBI

Tableau

DAX

SQL

R

Critical thinking

Communication

Vendor management

Data visualization

Predictive modeling

Overview

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for a Senior Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As a Senior Analytical Lead (AL), you will leverage your passion about data to help shape business strategy and drive tactical outcomes. Your work will encompass thought-leading insights and actionable recommendations, that are shared with our customers, to drive outstanding marketing performance and draw increased investment on our platform. Your position will also involve Partner Enablement Program Management, by managing consultants who are producing foundational insights. This opportunity will allow you to combine your deep understanding of the business landscape, sophisticated and innovative analytical techniques and keen visualizations into a compelling data narrative that influences decision-makers. You will leverage your exceptional analytical, problem-solving and partner management skills to bring deep insights to our clients. You will be energized by collaboration and continually raise the bar with world-class analytics experiences.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

  • Responsibilities- Develop Influential Analytics: You will be the industry expert and thought leader and apply a consultative approach to provide expert guidance as well as leverage your comprehensive client knowledge to deliver credible and trustworthy analytics that influence decision makers by positioning compelling opportunities within the context of the MSA value proposition to create demand and evangelize what MSA has to offer.
  • Partner Enablement Program Management: Manages several vendor consultants who are creating foundational insights to help scale insights to an ecosystem of managed partners and clients. Every half is responsible for surveying insights needs and developing a road map for Scaled Insights team.
  • Data Analysis: You will execute complex analyses to resolve analytical challenges, interpret results within a client context and drive forward opportunities with actionable recommendations and be adept at connecting insights with the unique capabilities of Microsoft Advertising products to address client needs.
  • Small Medium Business Insights Enablement: Work directly with Delivery Partners & Advocates to share Scaled Insights deliverables at scale to our SMBs. Measure the success each month and apply a growth mindset for future opportunities.
  • Improvement, Efficiency, and Innovation: You will drive the implementation of methods that create systematic and scalable efficiencies in core work related to analytics and reporting that are reusable and work with tooling PMs to enable scalable efficiencies, readily discoverable insights and self-service that are directed towards meaningful interpretation of data that drives impactful business decisions across teams.
  • Collaboration: You will leverage working relationships within and across internal and client teams to ensure data sources, methodologies and models are high-quality, that analytical tools and processes are appropriately leveraged and that recommendations to clients are data-driven and industry-relevant to consistently drive positive impact as you proactively engage internal and external stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts and consults across industry verticals and client teams on decisions related to analyses and their interpretation.
  • Security: You will maintain expertise in data privacy and governance rules and regulations, know where to seek expertise on such rules and regulations and share personal knowledge of them with peers as needed and identify and address the impact of updated guidance on work activities and results and ensure work activities and results are delivered in alignment with principles and controls.

Qualifications:

Required Qualifications:

  • 6+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related fieldOR equivalent experience.
  • 6+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
  • 5+ years experience in relevant technical domain (e.g., cloud services, security), technical sales, marketing, product management, customer support, or cross-group/cross-functional engineeringOR equivalent experience.
  • Dynamic and creative critical thinking skills, with an ability to think outside of the box.
  • Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
  • Experience managing vendors or consultants who produce insights and sharing at scale.
  • Experience in ad domain experience, scaling projects and data management.
  • Experience project managing a calendar for four consultants for over 100+ of insights every six months.
  • Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
  • Comfort and enjoyment with working in ambiguous environments.
  • Solid communication skills to work with partners in various areas of Microsoft Advertising.
  • Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
  • Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
  • Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization.
  • Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
  • Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
  • Comfort working in an agile and constantly-evolving environment while thriving amid ambiguity.
  • Ability to travel 25% - 35% (air travel may be required), as appropriate.

Preferred Qualifications:

  • 8+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related fieldOR equivalent experience.
  • 8+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
  • 6+ years in a partner or account management/client service/client-facing role.
  • 6+ years in a data analysis role with programming experience.
  • 5+ years of data storytelling and insights creation experience.
  • Experience working with Small Medium Businesses.
  • Experience with scaling insights to many clients.
  • Working knowledge and familiarity in a combination of the following data manipulation and visualization tools: Python, R, Power Pivot, Microsoft Advertising API.

#MicrosoftAI #Microsoft Advertising

Advertising Insights IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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

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, read more about requesting accommodations.

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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Junior/L3

Mid/L4

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience