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Manager Data Analytics Engineer Jobs (NOW HIRING)

Manager, Data Analytics Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089 Duties: Leads ... Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or ...

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Position: Manager, Data Analytics Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties ... Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or ...

The IT Manager, Data & Analytics owns and governs Komatsu's enterprise data and analytics platforms, including Palantir Foundry, Microsoft Power BI, Azure Synapse, and associated data engineering ...

The Role As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics ... Create and manage dashboards and reports in BI tools (e.g., Tableau, Looker, Power BI) for internal ...

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Drive data quality and governance standards in partnership with data engineering and BI teams ... We know that great analytics managers don't just build reports - they build teams, ask better ...

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Management Organization to help define, develop and implement solutions and provide services for ... Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Management Organization to help define, develop and implement solutions and provide services for ... Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Research, design, and implement best practices in managing data platforms. Partner with data analysts, engineers, and scientists to build reusable data infrastructure, analytics, dashboards, and ...

Manager, Data Analytics

Dallas, TX · On-site

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Manager, Data Analytics

Tempe, AZ · On-site

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Responsibilities : • Manage the project and stakeholders through all core project phases ... programming languages • Ability to profile, explore, and analyze data to identify common data ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

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Manager Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 11, 2026, the average yearly pay for manager data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
More about Manager Data Analytics Engineer jobs
What cities are hiring for Manager Data Analytics Engineer jobs? Cities with the most Manager Data Analytics Engineer job openings:
What are the most commonly searched types of Data Analytics Engineer jobs? The most popular types of Data Analytics Engineer jobs are:
What states have the most Manager Data Analytics Engineer jobs? States with the most job openings for Manager Data Analytics Engineer jobs include:
Infographic showing various Manager Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Manager, Data Analytics

Manager, Data Analytics

Walmart

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,001 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

What you'll do...

Position: Manager, Data Analytics

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Leads medium and participates in large data analytics project teams and manages long-term, complex analytic projects by serving as a technical lead for analytics projects; works with project teams and business partners to determine project goals; partners with external entities; develops contingency plans for data analysis; determines modeling based on business needs; identifies the need for use of advanced analysis methodologies; develops case theories across business areas; develops assessments of key risks; prioritizes and executes work streams for highly complex or significant allegations; directs the analysis of data; gathers data and develops reports as needed; utilizes business knowledge to ensure data supports project goals; analyzes data based on identified variables; reviews data results to ensure accuracy; and communicates results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by consulting with internal organizations; develops insights based on data analysis on highly complex or significant matter; develops big data modeling to identify vulnerabilities; applies analytical results to project goals; identifies trends and key insights; translates results into business actions; and presents insights and recommendations to key stakeholders. Provides data-based analysis and insights to drive investigative analytics strategy by coordinating the development of complete datasets needed to support project-level models; designs statistical or heuristic models for applications involving multiple statistical techniques and stakeholders; coordinates with internal and external customers to build consistent and accurate strategies for using functional area metrics; develops statistical or segmentation models; identifies critical factors influencing project objectives; performs analyses utilizing advanced software and techniques; evaluates and interprets results accurately; and presents conclusions, deliverables, and recommendations to stakeholders to support the business. Develops business intelligence solutions with customers and other system areas by ensuring solution testing and validation; oversees upgrades and release schedules for business intelligence and database products; manages production of scheduled regulatory reports; ensures requirements are met to support implementations; manages the compliance reporting database to ensure accuracy and completeness of the data; ensures development of system documentation; develops materials for state of the art user interfaces that enable business users to interpret trends and exceptions; and reviews change implementation before and after production installations.

Minimum education and experience required: Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field; OR Bachelor's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field and 2 years of experience in conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related area.

Skills required: Experience automating critical pricing workflows using SQL and Python, including data ingestion, transformation, and pricing model execution. Experience developing reusable scripts that improve operational efficiency and reduce manual intervention. Experience utilizing advanced SQL techniques to query, manipulate, and aggregate massive datasets from Walmart's enterprise data infrastructure. Experience scaling data anomaly detection models across multiple business units and developing effective pricing strategies. Experience developing business models to minimize impact of pricing fluctuations with Data science team for various business models and improve pricing recommendations. Experience designing and maintaining Tableau dashboards that track pricing trends, key performance indicators (KPIs), and competitive benchmarks. Experience providing regular performance updates to leadership, highlighting the impact of pricing strategies, experiment results, and market trends. Experience strategizing, implementing dynamic pricing algorithms and implementing it with data science and engineering teams. Experience integrating machine learning models that adjust prices based on customer demand, competitor behavior, and business objectives. Experience writing performant, scalable SQL code to work with extremely large datasets involving billions of records. Experience ensuring price consistency and accuracy across SKUs, platforms (mobile, desktop, app), and fulfillment methods. Experience monitoring competitor pricing data sourced from web scraping and syndicated feeds. Experience working closely with engineers to integrate pricing logic into production systems, ensuring end-to-end traceability and real-time execution. Experience testing and validating deployment of pricing tools in live environments. Experience analyzing price elasticity and customer behavior patterns to predict the impact of price changes on conversion, traffic, and margin. Experience incorporating findings into strategic pricing models and rules. Experience supporting seasonal and promotional pricing strategies by analyzing historical data, forecasting demand, and developing tailored pricing rules. Experience building and maintaining ETL pipelines to support pricing data flows from ingestion to reporting. Experience leading and analyzing A/B pricing tests to evaluate the effect of experimental pricing strategies. Experience measuring changes in customer behavior, profitability, and competitive positioning. Employer will accept any amount of experience with the required skills.

Salary Range: $104,000/year to $202,000/year. Additional compensation includes annual or quarterly performance incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

#LI-DNI #LI-DNP

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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