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Manager Data Analytics Engineer Jobs in New York

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

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 ...

American Express

Manager - Data Analytics

New York, NY · On-site

Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business ... Product Analytics * Partner with Product Managers, Engineering, and Business stakeholders to define ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$132K - $142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ... Strong time management with a focus on delivery and accountability. * Clear written and verbal ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ... Strong time management with a focus on delivery and accountability. * Clear written and verbal ...

MERU

Analytics Engineer, Data Insights

New York, NY · On-site

$125K/yr

Experience in independently managing deliverables with little oversight * Effective communication ... Services include Data Discovery and Analysis, Data Prep and Integration, Self-Service Analytics ...

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Manager Data Analytics Engineer information

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.
What are the most commonly searched types of Data Analytics Engineer jobs in New York? The most popular types of Data Analytics Engineer jobs in New York are:
What are popular job titles related to Manager Data Analytics Engineer jobs in New York? For Manager Data Analytics Engineer jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Manager Data Analytics Engineer jobs? Cities in New York with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Manager - Data & Analytics

Qvest US

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.


Who We're Seeking
Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.
What You'll Do
  • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
  • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
  • Proactively identify risks, issues and provide mitigation strategies
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
  • Eagerness to help build and lead a best-in-class data practice
  • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with project planning, including tasks, budgeting, resource allocation and balancing
  • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
  • Experience designing and building relational database and/or data warehouses
  • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc 
Preferred Additional Experience
  • A solid understanding of key BI trends and the BI vendor landscape
  • Experience in Media & Entertainment and/or Consumer Products industries
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Cloud computing experience, whether with AWS or other vendors
  • Ability to understand/design small-to-medium size data architectures
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related analytical fields
  • Familiarity with dbt (https://getdbt.com)
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region. 
 
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
 
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest US is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel."
 
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
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