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Manager Data Analytics Engineer Jobs in Utah (NOW HIRING)

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

... , executive team, managers, and individual contributors with the robust and trustworthy ... Standardize analytics workflows by integrating software engineering best practices, including ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

... , executive team, managers, and individual contributors with the robust and trustworthy ... Standardize analytics workflows by integrating software engineering best practices, including ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

... , executive team, managers, and individual contributors with the robust and trustworthy ... Standardize analytics workflows by integrating software engineering best practices, including ...

mophie

Director, Analytics

Midvale, UT

Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging amp; Tracking Specialist responsible for implementation and ...

Pwc

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Manager Data Analytics Engineer information

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.

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 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 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.

What are the most commonly searched types of Data Analytics Engineer jobs in Utah? The most popular types of Data Analytics Engineer jobs in Utah are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Utah? For Manager Data Analytics Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Utah look for? The top searched job categories for Manager Data Analytics Engineer jobs in Utah are:
What cities in Utah are hiring for Manager Data Analytics Engineer jobs? Cities in Utah with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Global Banking & Markets - Salt Lake City - Associate, Data Analytics BI - 3520417

Global Banking & Markets - Salt Lake City - Associate, Data Analytics BI - 3520417

Goldman Sachs, Inc.

Salt Lake City, UT • On-site

Full-time

Posted 22 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Description
Job Duties: Associate, Data Analytics BI with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Develop business intelligence solutions using capabilities such as Alteryx, SQL, Tableau, and Python. Provide end-to-end reporting and self-service analytics tools which produce a variety of key metrics related to Fees and Commissions Operations, Front to Back Trade Lifecycle, Departmental Throughput, and Client Performance in relation to Goldman Sachs' global markets trading activities. Build and streamline ETL processes which integrate Global Markets data platforms. Manage business intelligence product SDLC within globally distributed Alteryx and Tableau server environments. Develop, prioritize, and communicate project plans end-to-end using JIRA; mentor junior developers on Agile development; facilitate project progress as the scrum master. Provide mentorship and feedback to junior team members while managing competing priorities from a wide range of senior stakeholders. Program manage multiple books of work with a variety of stakeholders throughout Operations, Technology, and Sales and Trading; ensure projects are delivered on time and end users are aware of potential project blockers. Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.
Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, Computer Information Systems, or a related field and three (3) years of experience in job offered or in a related role. Prior work experience must include three (3) years with: software Development Lifecycle utilizing globally distributed Alteryx Server and Tableau Server platforms; project management oversight to gather and build requirements with end users for the development of automated engineering or BI built solutions; developing and maintaining ETL processes using advanced Alteryx functionality, including macros, analytic apps, and reporting data transform tools; developing and maintaining high-performance databases using advanced SQL (subqueries, window functions, and data design language) and experience with data architecture and administration; developing and maintaining high-performance dashboards using advanced Tableau (level of detail functions, context filters, and data blending) and experience with data visualization best practices (use of pre-attentive attributes, and storytelling); and JIRA project management tools, including core functions such as Epics, Stories, Tasks, and Story Points.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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