Data & Analytics

Nicely Co.; Tulsa (OK); On-site; USD 110,000 - 160,000; Full time

Job summary

Nicely Co. is seeking a Senior Data Engineer to strengthen trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. This role partners with colleagues across functions at an early-stage company to create repeatable processes and scalable systems.

You will own day-to-day data work, translate priorities into plans, and help build an analytics function with sound judgments and autonomous decision-making.

Qualifications

• Experience turning priorities into documented data work and measurable outcomes.
• Ability to own end-to-end data projects in an early-stage environment.
• Strong written and verbal communication with cross-functional partners.
• Commitment to ethical conduct, confidentiality, and security.
• Ability to document decisions and manage ambiguous work.

Responsibilities

• Own day-to-day work across trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.
• Translate priorities into documented plans, decisions, and measurable outcomes.
• Build lightweight, repeatable processes for an early-stage company and evolve over time.
• Collaborate across functions to resolve dependencies and deliver complete outcomes.
• Identify risks early, recommend solutions, and escalate consequential decisions.
• Maintain accurate documentation and handle company, customer, and employee information responsibly.
• Use evidence and feedback to improve quality, efficiency, and stakeholder experience.
• Communicate progress, constraints, priorities, and results clearly to affected teammates.

Skills

Data governance

Data analysis

Reporting

Stakeholder comms

Ownership

Education

Relevant education or equivalent experience

Job description

Help build Nicely Co.'s trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight as Senior Data Engineer, with meaningful ownership in an early-stage company.

Position overview

Nicely Co. is seeking a Senior Data Engineer to strengthen trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. This role will turn company priorities into clear, dependable work while partnering directly with colleagues across functions.Nicely Co. is an early-stage company, so this position will help create the processes and internal systems behind the work, not merely inherit a mature playbook. The successful candidate will use sound judgment, communicate tradeoffs, and operate with appropriate autonomy.Responsibilities may evolve as the company grows. This is an opportunity to influence how the Data & Analytics function develops, establish useful standards, and leave behind systems that scale responsibly.

Responsibilities

• Own day-to-day work across trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.
• Translate the priorities of the Senior Data Engineer role into documented plans, decisions, and measurable outcomes.
• Build lightweight, repeatable processes that fit an early-stage company and can mature over time.
• Collaborate across functions to resolve dependencies and deliver complete outcomes.
• Identify risks early, recommend proportionate solutions, and escalate consequential decisions.
• Maintain accurate documentation and handle company, customer, and employee information responsibly.
• Use relevant evidence and feedback to improve quality, efficiency, and stakeholder experience.
• Communicate progress, constraints, priorities, and results clearly to affected teammates.

Qualifications

• Demonstrated capability relevant to trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight.
• Judgment and ownership appropriate for the Senior Data Engineer scope.
• Strong written and verbal communication with both specialists and cross-functional partners.
• Ability to organize ambiguous work, make progress independently, and document decisions.
• Comfort building systems in an early-stage environment where priorities may evolve.
• Commitment to ethical conduct, confidentiality, security, accessibility, and inclusive collaboration.

Preferred qualifications

• Experience with modern methods and tools used in Data & Analytics.
• Experience in a startup, small business, or other resource-conscious environment.
• Evidence of improving a workflow, standard, product, service, or measurable outcome.
• Relevant education, certification, portfolio, or equivalent practical experience.
• Flexible work arrangements where applicable.
• Opportunity to help build an early-stage company.
• Direct impact on company growth and operating quality.
• Cross-functional collaboration and professional development opportunities.
• Significant ownership over assigned responsibilities.
• Opportunity for responsibilities to expand as the company grows.