Data and Analytics Manager

GoEngineer; Hares Corner (DE); Hybrid; USD 130,000 - 145,000; Full time

Benefits offered by this job

Unlimited PTO

401(k) with match

Medical coverage

Dental and vision insurance

Life Insurance

Disability insurance

Paid Family Leave

Mental health resources

EAP (Employee Assistance Program)

Wellness programs

Job summary

GoEngineer is seeking a data leader to coach a four-person data team and build a centralized data platform that brings NetSuite, Azure SQL, Power BI and other systems together. You will drive data warehousing, ETL/ELT, and governance while delivering scalable analytics and executive reporting.

The role combines leadership with hands-on contribution, guiding KPI development and insight frameworks for executives and functions across the business.

Qualifications

• 7+ years in data engineering, analytics, or BI.
• 2+ years leading or managing a team.

Responsibilities

• Coach and distribute work across a four-person data team.
• Prioritize requests and coordinate with the hiring manager to resolve conflicts.
• Balance leadership with hands-on coaching and contribution.
• Build a centralized data platform integrating NetSuite, Azure SQL, Power BI and other systems.
• Lead data warehousing, ETL/ELT, semantic modeling, and governance.
• Establish data quality, lineage, monitoring, and continuous improvement practices.
• Guide the development of Power BI models, dashboards, and executive reporting.
• Partner with executives to translate goals into KPIs and insights.
• Champion data accessibility and data literacy across the organization.
• Evaluate emerging tech and apply AI to accelerate insights.

Skills

Team leadership

Data engineering

SQL Server / Azure SQL

Power BI

Tableau

Data warehousing

ETL/ELT

Governance

AI for analytics

Stakeholder comms

Tools

SQL Server/Azure SQL

Job description

What You'll Do

• Coach, support, and distribute work across a team of four data professionals.
• Prioritize incoming work, manage competing requests, and work with the hiring manager to escalate and resolve conflicts.
• Balance team leadership with hands-on technical contribution; the role is expected to be primarily coaching and coordination.
• Build and maintain a centralized data platform that brings together NetSuite, Azure SQL, Power BI, and other enterprise systems, including data from newly acquired businesses.
• Lead data warehousing, ETL/ELT, semantic modeling, and governance practices that deliver scalable, reliable data assets.
• Establish practices for data quality, lineage, consistency, monitoring, and continuous improvement.
• Guide the development of Power BI semantic models, dashboards, and executive reporting.
• Partner with executives and functional leaders to translate strategic goals into measurable plans, KPIs, and insight frameworks.
• Champion data accessibility and literacy across the organization.
• Evaluate emerging technologies and help the team use AI thoughtfully to accelerate insight delivery.

What You'll Bring

• 7+ years of experience in data engineering, analytics, or business intelligence, including at least two years leading or managing a team.
• Experience prioritizing work and helping a technical team navigate competing requests.
• Hands-on experience with SQL Server or Azure SQL, data warehousing concepts, and modern data architecture.
• Strong business intelligence and data modeling skills. Power BI experience is preferred; Tableau or comparable business intelligence experience is transferable.
• Ability to lead technical and analytical people while balancing coaching, execution, and strategic direction.
• Ability to advise senior leaders and translate complex data concepts into clear recommendations.
• Experience improving data quality and building data accessibility across systems.
• An interest in using AI thoughtfully to improve data and analytics work.

Nice to Have

• Experience with NetSuite data structures and integration patterns, including Celigo-based ETL.
• Experience with cloud-native data platforms or Lakehouse architectures.
• Experience preparing data environments for AI, such as semantic layers, centralized knowledge hubs, or documented data dictionaries.
• Experience integrating data from acquired businesses into a common reporting platform.
• Ability to influence stakeholders and drive adoption of data-informed decision-making.

Location and Compensation

This is a full-time, hybrid role based in Salt Lake City, Utah, with approximately three days per week in the office. The salary range is $130,000 to $145,000.

More about what GoEngineer offers:

At GoEngineer, we understand that our value comes from our employees, and we celebrate and respect their unique experiences. We are working to build a culture where both our employees and customers are centered in the work we do, and employees feel welcomed as they are from the first day.

Generous Benefits Include:

• Participation in GoEngineer's unlimited PTO program from day one of employment.
• 401(k) retirement plan with up to a 6% company match, 100% vested on day one.
• Comprehensive medical coverage, including PPO and High Deductible plans with FSA/HSA options and employer HSA contributions.
• Paid Family Leave, including paid pregnancy disability leave and paid parental bonding leave.
• Employer paid Life Insurance policy, & Short Term, and Long Term Disability insurance, with optional supplemental coverage.
• Dental and Vision insurance
• Mental health, telemedicine with 24/7 access to medical providers, and wellness programs, including virtual therapy, nutrition counseling, and physical therapy.
• Fertility, adoption, and family building benefits.
• Employee Assistance Program (EAP) offering free, confidential counseling and support for mental health, legal, financial, and family needs.
• Optional voluntary benefits, including accident insurance, hospital indemnity, critical illness coverage, identity theft protection, pet insurance, plus student loan repayment and prescription cost savings programs.

To support a fair and efficient hiring process, we may use AI technology to summarize interviews and help our teams review information consistently. AI does not evaluate candidates or make hiring decisions. All decisions are made by our human hiring team.