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Data Platform Analytics Manager Jobs (NOW HIRING)

Groendyke Transport

Data Platform Analyst

Enid, OK

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making by creating dependable datasets, metrics, and pipelines. This role works closely with teams across ...

Troon

Senior Data Platform Architect

Scottsdale, AZ · On-site

$67.25 - $89.75/hr

Experience integrating multiple enterprise systems (CRM, ERP, SaaS platforms) * Experience supporting analytics, BI, and data-driven applications Required Knowledge and Skills: * Deep expertise in ...

New

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$86K - $108K/yr

They manage analytics platforms like Power BI, and Databricks, ensuring data integrity, scalability, security, and effective ETL processes. * Collaboration with cross-functional teams in ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... analytics. WhatYou'llDo * Design and deploy modern data platforms in Azure Databricks, including ... Develop and manage ETL/ELT integrationsacross third-party tools and custom APIs, ensuring reliable ...

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Data Platform Analytics Manager information

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$31K

$97.1K

$172K

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

As of Jun 6, 2026, the average yearly pay for data platform analytics manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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

AspectData Platform Analytics ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often prefers experience with data platformsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentLeads teams managing data infrastructure and platforms, collaborates with IT and data engineering teamsAnalyzes data sets, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in organizations with complex data infrastructure, including tech, finance, and healthcareCommon across various industries for data-driven decision making

The Data Platform Analytics Manager oversees data infrastructure and analytics teams, focusing on managing data platforms and ensuring data quality. In contrast, Data Analysts primarily interpret data to generate insights and reports. Both roles require strong analytical skills, but the manager role involves leadership and technical platform management, while the analyst role emphasizes data interpretation and visualization.

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

To thrive as a Data Platform Analytics Manager, you need a solid background in data analytics, data engineering, and business intelligence, typically supported by a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools (like Snowflake or Redshift), analytics platforms (such as Tableau or Power BI), and proficiency in SQL and Python are commonly required, along with certifications like AWS Certified Data Analytics or Google Data Engineer. Strong leadership, communication, and problem-solving skills help you guide teams, translate business needs, and deliver actionable insights. These capabilities are crucial for managing complex data environments, ensuring data-driven decision-making, and driving organizational value.

What is a Data Platform Analytics Manager?

A Data Platform Analytics Manager is a professional responsible for overseeing the development, management, and optimization of data platforms to support business analytics. They lead teams that design and implement data architectures, ensure data quality, and provide analytical insights to inform strategic decisions. This role often involves collaborating with IT, data engineers, and business stakeholders to ensure that data systems align with organizational goals and support data-driven decision-making.

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

A Data Platform Analytics Manager regularly partners with engineering, data science, product, and business teams to ensure analytics solutions meet organizational needs. This involves gathering requirements, translating business objectives into analytical frameworks, and coordinating development and deployment of data products. Effective communication and project management skills are crucial, as the manager must bridge technical and non-technical stakeholders to align on goals, troubleshoot issues, and drive data-driven decision-making across departments.
Infographic showing various Data Platform Analytics Manager job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Director, Consumer Data Platform & Analytics Enablement

Director, Consumer Data Platform & Analytics Enablement

Sandisk

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Sandisk is a leader in data solutions with a rich history in Flash and advanced memory technologies. They are seeking a Director for the Consumer Data Platform & Analytics Enablement to drive consumer-centric decision-making and manage the Consumer data domain within their corporate Lakehouse architecture.
Responsibilities:
• Work with the corporate Enterprise Data & AI and Consumer Data Teams to own the Consumer division’s curated (“silver” and “gold”) data layers, including harmonization of external market data with corporate sources, in alignment with enterprise lakehouse and governance standards.
• Drive data “AI-readiness” to help future-proof the data ecosystem, inclusive of metadata curation and documentation of business logic.
• Develop and operate the Consumer BI ecosystem on the corporate lakehouse platform (e.g., PowerBI, Databricks), enabling scalable self-service by analysts and business users.
• Enable integration of AI into business reporting and underlying analysis, in order to build early warning systems and to identify underlying business trends worthy of future study.
• Partner with Consumer division leadership to ensure downstream analysis applications and BI stack are delivering reliable, efficient, and valuable service.
Qualifications:
Required:
• 10+ years relevant experience (consumer tech, consumer electronics, or CPG industries preferred)
• Demonstrated history of business impact through data ecosystem development, data engineering, or Development/Operations (DevOps) organization leadership
• Data modeling & harmonization experience, including with vendors with varying product/timing hierarchies
• Ability to deliver strong data transformation results inside corporate guardrails (e.g., security and access, governance, intake, and prioritization)
• Experience designing AI-ready data platforms, including semantic modeling, metadata management, and governed self-service analytics
• Direct AI implementation experience is a plus but not required for the role
Company:
Sandisk is a leading developer, manufacturer and provider of data storage devices and solutions based on NAND flash technology. Founded in 1988, the company is headquartered in Milpitas, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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