Conduct thorough data inspections, identifying and resolving data inconsistencies with precision and accountability
Develop and tailor data processing pipelines and creative feature engineering to uniquely fit each client’s requirements
Build and maintain configuration files, data, and automation scripts
Build, validate, and troubleshoot predictive data science models in collaboration with the Data Science team using internal tools and metrics
Communicate technical data requirements, project timelines, and updates to both internal and external stakeholders (both written and verbally)
Serve as an authority and consultant alongside the Client Success team to guide new clients through implementation and existing clients through data updates
Collaborate with cross-functional teams to gather requirements, resolve issues, and optimize delivery of new and existing products and internal tools
Automate or help automate as many manual data analysis activities as possible

Requirements

Bachelor’s degree in math, computer science, business analytics and information systems or another relevant field required (advanced degree preferred).
Demonstrated related experience may substitute for preferred education.
Advanced proficiency/fluency in SQL query writing and debugging.
Proficiency in Git/Github and version control methodologies.
Familiarity with using AI (artificial intelligence) and LLM (large language models) to improve efficiency and workflows.
Ability to learn new software and technologies.
Ability to translate technical findings into client-friendly insights both verbally and in writing.
Experience operating in a consultative approach in client and internal interactions, employing active listening, summarization, and context-setting.
Willingness to assist other team members and drive innovation to improve personal and team-wide efficiency and growth.
Proven success in independently troubleshooting and resolving data and configuration issues.
Experience in applying and documenting methodical approaches to debugging and root cause analysis.
Capacity to manage multiple projects or tasks at once, including setting and communicating appropriate timelines, prioritization, and risk or updates throughout the life of the project.
Desire to deliver outputs and deliverables with accuracy and attention to detail.

Benefits

Health insurance
Flexible working arrangements
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data processing pipelinesfeature engineeringpredictive data science modelsSQLGitversion controlAILLMdata analysis automationdebugging

Soft Skills

communicationconsultative approachactive listeningsummarizationcontext-settingteam collaborationproject managementprioritizationattention to detailproblem-solving

Certifications

Bachelor's degreeadvanced degree (preferred)