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Senior Manager Data Analytics Jobs (NOW HIRING)

The LaSalle Group

Sr Manager, Data & Analytics

Chicago, IL · On-site

$160K - $180K/yr

Senior Finance Manager, Data & Analytics Location: Flexible / Hybrid Compensation: $130,000-$180,000 base salary, eligibility to earn discretionary bonus About the Role We are seeking a strategic and ...

McKesson

Sr Manager, Data Analytics

Irving, TX

$119K - $198K/yr

McKesson Corporation is seeking a highly skilled and experienced Senior Manager, Data Analytics to lead the development and delivery of data insights, reporting,, and performance analytics that ...

Verizon

Senior Manager, Data Analytics

Irving, TX · On-site

As a Program and Project Management Senior Manager, you will serve as a strategic, data-driven ... Data Analytics & Dashboarding: Building, managing, and presenting complex data analytics reports ...

Walmart

Senior Manager, Data Analytics

Farmington, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced analytics strategies to drive data-informed business decisions. This role requires expertise in data ...

Suvoda

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company - owning analytics engagements end-to-end, contributing to team ...

Ardagh Group

Sr Manager, Data & Analytics

Chicago, IL · On-site

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

ARDAGH GROUP

Sr Manager, Data & Analytics

Chicago, IL · On-site

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

Walmart

Senior Manager, Data Analytics

Tontitown, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced analytics strategies to drive data-informed business decisions. This role requires expertise in data ...

Walmart

Senior Manager, Data Analytics

Gravette, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced analytics strategies to drive data-informed business decisions. This role requires expertise in data ...

Walmart

Senior Manager, Data Analytics

Decatur, AR · On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced analytics strategies to drive data-informed business decisions. This role requires expertise in data ...

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Senior Manager Data Analytics information

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$45K

$114.5K

$168.5K

How much do senior manager data analytics jobs pay per year?

As of Jul 23, 2026, the average yearly pay for senior manager data analytics in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Manager Data Analytics, and why are they important?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

More about Senior Manager Data Analytics jobs
What cities are hiring for Senior Manager Data Analytics jobs? Cities with the most Senior Manager Data Analytics job openings:
What states have the most Senior Manager Data Analytics jobs? States with the most job openings for Senior Manager Data Analytics jobs include:
What job categories do people searching Senior Manager Data Analytics jobs look for? The top searched job categories for Senior Manager Data Analytics jobs are:
Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.
Sr. Manager, Data Analytics

Sr. Manager, Data Analytics

Bloomingdale's

Long Island City, NY • On-site

$112K - $188K/yr

Full-time

Posted 19 days ago

Bloomingdale's rating

7.2

Company rating: 7.2 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

1st of 21 rated department stores

Job description


About
Bloomingdale's makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale's like no other store in the world. Across all brand touchpoints - from Bloomingdales.com to our newest small store concept, Bloomie's - everyone plays a critical role bringing our mission to life. Our inclusive culture promotes diversity of background, thought and opinion. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative, while having a lot of fun along the way.
Job Overview
Bloomingdale's is seeking a Senior Manager of Data Analytics for a high-impact analytics team responsible for delivering industry-leading dashboards, reporting, and strategic insights. This leader will drive the development and integration of advanced analytics and AI-powered solutions across the Marketing, Digital, and Customer domains, enabling the organization to make faster, smarter, and more customer centric decisions.
The ideal candidate brings a strong blend of technical depth, customer analytics expertise, and cross functional leadership. They will partner closely with Data Science, Data Engineering, and business stakeholders to design scalable data products, operationalize machine learning use cases, and ensure insights are delivered in intuitive, actionable formats for business users.
This role requires a strategic thinker who can translate complex analytical concepts into clear narratives, influence senior stakeholders, and champion the adoption of AI and advanced analytics across the enterprise. The Senior Manager will also be a thought leader and mentor to a team of Data Analysts, fostering a culture of curiosity, innovation, and operational excellence by helping them improve their technical skills and capabilities.
Essential Functions
  • Lead the development of dashboards, reporting, and analytics products that drive decision-making across Marketing, Digital, and Customer functions.
  • Coach and mentor a team of talented data analysts across Digital, Marketing and Customer functions while we usher in a new era of innovative analytics at the company.
  • Drive customer analytics initiatives, including segmentation, personalization, customer journey, MTA/MMM, and behavioral insights.
  • Act as a strategic thought partner to senior leaders, translating complex data into clear, actionable recommendations.
  • Collaborate with Data Engineering to ensure data pipelines, models, and tools are reliable, scalable, and aligned with business needs.
  • Manage stakeholder expectations, ensuring alignment on priorities, timelines, and deliverables across Macy's and Bloomingdale's teams.
  • Champion data literacy and the adoption of AI-driven insights across the organization.
  • Partner closely with Data Science, Data Engineering, Technology, and Business Units to drive adoption, integration of advanced analytics, statistics, and ML output into dashboards and reporting, as well as provide direct analytical support where needed.
  • Lead the development of and compliance with analytics standards, including guidelines for tailoring analytics methodologies to specific use case needs.
  • Create compelling interactive visualizations and presentations to enhance decision making capabilities.
  • Perform other duties as assigned

Qualifications
Education/Experience:
  • Bachelor's degree required; advanced degree in Analytics, Data Science, Business, or related field preferred.
  • 5-8+ years of progressive experience in analytics, data strategy, or related fields, with demonstrated leadership of high performing analytics teams.
  • Experience driving analytics initiatives in a complex, cross functional environment, ideally within retail, e-commerce, or customer centric organizations.

Technical Skills:
  • Deep understanding of analytical, statistical, and machine learning methods, with the ability to guide teams in applying them to real business problems.
  • Extensive hands-on experience with SQL and Python for data manipulation, modeling, and automation.
  • Strong experience with Google Cloud Platform (BigQuery, BigTable, Pub/Sub, DataFlow, DataProc) and both real-time and batch data processing architectures.
  • Expertise in instrumentation (tagging, JSON), experimentation frameworks, and product analytics, including A/B testing and causal inference.
  • Proven ability to translate advanced analytics, AI/ML outputs, and complex data concepts into clear insights that drive measurable business value.
  • Proficiency with modern BI and analytics tools (Tableau, Looker, Power BI, Google Data Studio, Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Outlier.ai, PyCharm, or similar).
  • Strong customer analytics background, with a track record of turning data into customer-centric strategies.
  • Experience partnering with Data Science and Data Engineering teams to operationalize data pipelines and AI/ML models and build scalable data products.
  • Customer-centric, analytics expert with experience in accelerating analytics use cases and transforming data into business value in the retail/department store context.

Leadership & Other Skills
  • Exceptional ability to communicate technical concepts, data insights, and AI-driven recommendations to both technical and nontechnical audiences, including senior leadership.
  • Demonstrated success managing stakeholders across Marketing, Digital, Customer, and Technology teams, aligning priorities and driving shared outcomes.
  • Experience working in Agile environments and managing multiple concurrent projects in a fast-paced, cross-functional setting.
  • Strong leadership, coaching, and team-development skills, with the ability to elevate analytical talent and foster a culture of innovation and accountability.
  • Creative, strategic thinker with strong analytical and problem solving skills; able to connect data insights to broader business strategy.
  • Ability to work a flexible schedule based on department and company needs.

Physical Requirements
  • May require periods of walking, standing, communicating, reaching, and crouching.
  • Frequent use of computers and other technology, necessary to perform job functions.
  • May require lifting/moving up to 25lbs.

This job description is not all inclusive; additionally, Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. - including Macy's, Bloomingdale's, and Bluemercury - is an equal opportunity employer, committed to a diverse and inclusive work environment.

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About Bloomingdale's

Sourced by ZipRecruiter

Bloomingdale's makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale's like no other store in the world. Everyone plays a critical role to bring our mission to life. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative. We welcome and embrace diversity of background, thought and opinion while having a lot of fun along the way.

Industry

Apparel and accessories stores

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1861

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