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Data Platform Analytics Manager Jobs (NOW HIRING)

Salvation Army

Analytics Manager

Rancho Palos Verdes, CA · On-site

$90K - $100K/yr

... Data Platform (CDP), and Power BI). This role supervises the Donor Data Analyst and provides ... Nonprofit Management, or a related field. • 5+ years of experience in business analysis ...

Simplot

Data Platform Manager

Boise, ID · On-site

The Manager oversees the portfolio of work supporting data platforms that serve the reporting, analytics, and data science needs of the company. This includes managing the strategy, architecture ...

TechInsights

Data Analytics Manager

Denver, CO · On-site

OUR STORY TechInsights is the information Platform for the semiconductor industry. Regarded as the ... As our Data & Analytics Manager, you will lead a team of analysts to deliver high-impact analytics ...

Tech Insights

Data Analytics Manager

Greenwood Village, CO · On-site

$140K - $149K/yr

OUR STORY TechInsights is the information Platform for the semiconductor industry. Regarded as the ... As our Data & Analytics Manager, you will lead a team of analysts to deliver high-impact analytics ...

Simplot

Data Platform Manager

Boise, ID · On-site

The Manager oversees the portfolio of work supporting data platforms that serve the reporting, analytics, and data science needs of the company. This includes managing the strategy, architecture ...

Net Conversion LLC

Manager, Media Analytics

Orlando, FL · On-site

Manager, Media Analytics DATE: 2026 DEPARTMENT: Analytics REPORTS TO: Director, Media Analytics ... While data aggregation and automation is available for dashboarding, regular work within platforms ...

Photon

Sr Business Analyst /Product Manager - US

New York, NY · On-site

$138K - $182K/yr

Job Title Product Manager - Data Platform, Analytics & Cloud (GCP) Role Summary We are seeking an experienced Product Manager to own and drive a cloud-native data platform spanning databases, ETL/ELT ...

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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 Sep 10, 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 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.

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 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 popular job titles related to Data Platform Analytics Manager jobs?

For Data Platform Analytics Manager jobs, the most frequently searched job titles are:

Infographic showing various Data Platform Analytics Manager job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data Analytics Manager, Senior

Arlington, VA • On-site

Bloomberg Industry Group
Library and Information Services • 51 - 200 employees
Learn more about Bloomberg Industry Groupexternal

$130K - $170K/yr

Other

Posted 24 days ago

Job description

Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to develop and scale the enterprise analytics platform and capabilities, improve self-service access to product usage insights, and ensure consistent interpretation of product performance across the business. By applying best-in-class analytics practices and aligning with broader business strategy, this individual develops intelligent, forward-looking BI solutions that directly improve decision-making, operational efficiency, and revenue outcomes.

What you will do:

  • Serve as a key Product Analytics point of contact for Amplitude platform enablement, including Guides & Surveys, documentation, governance, best practices, and support for broader cross-functional use cases.
  • Partner with Product, Personalization and Engineering teams to support the use of behavioral data within product experiences, including personalization, onboarding and in-product engagement capabilities.
  • Own the ongoing evolution of customer usage reporting capabilities, monitoring and triaging incoming requests and partnering with Sales and Customer Success to identify recurring and changing business needs, prioritize enhancements, and expand self-service access to trusted customer usage data and insights.
  • Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
  • Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
  • Lead the end-to-end analytics process for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
  • Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
  • Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user engagement of relevant system.
  • Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
  • Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
  • Champion responsible data use, ensuring adherence to internal policies and external regulations.

You need to have:

  • Bachelor's degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
  • 7+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
  • 4+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
  • 3+ years of experience uncovering product analytics insights that inform cross-functional initiatives, shape hypotheses, and support strategic and operational decision-making across Product, Marketing, Sales, Customer Success and related teams.
  • 3+ years of experience presenting insights to senior leadership or high-level audiences.
  • Strong experience in product analytics, sales analytics, or data strategy roles.
  • Experience working with Databricks or similar data platforms to access, analyze, and operationalize data across multiple sources and surfaces.
  • Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
  • Demonstrated ability to conduct stakeholder discovery, identify recurring business needs, prioritize analytics capabilities, and translate those needs into scalable solutions.
  • Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
  • Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates
  • Intermediate to advanced proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
  • Deep understanding of customer journey analytics, KPI development, and data storytelling.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Proven ability to lead cross-functional projects.
  • Familiarity with data privacy standards and compliance best practices.

Special Requirements:

  • Candidates may be required to pass a test for this position.

Compensation Range:

$130,000.00-$170,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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