Description:
Continuous Improvement Data Analyst
Duration: 12 Months Contract
Location: Houston, TX
Job Summary:
Key Responsibilities
- Partner with business stakeholders to scope initiatives, gather requirements, and define actionable data solutions.
- Lead and support projects across the full lifecycle, including planning, prioritization, execution, and delivery.
- Assess and improve data quality by identifying gaps, validating sources, and implementing controls to ensure accuracy and reliability.
- Develop and optimize data pipelines, queries, and workflows to improve efficiency and accessibility.
- Create impactful reporting and analytical solutions that support decision-making and continuous improvement efforts.
- Integrate data from diverse sources while aligning with enterprise data architecture and standards.
- Identify opportunities for automation and process optimization using Power Platform and related technologies.
- Maintain clear documentation of data processes, business logic, and solution design to ensure scalability and sustainability.
Collaboration and Communication
- Partner with cross-functional teams on initiatives with varying levels of complexity and automation.
- Translate technical concepts and data insights into clear, actionable information for diverse business audiences.
- Respond to data inquiries and support stakeholders in data-driven decision-making.
- Work independently and collaboratively while aligning with organizational strategy and continuous improvement goals.
Essential Skills, Qualifications, and Experience
- Minimum 5-7 years of experience in a data analysis role, with a focus on process improvement, automation, and/or KPI reporting.
- Advanced Power BI experience, with a strong working knowledge of the Microsoft Power Platform (Power Apps, Power Automate).
- Intermediate to advanced expertise in data analysis, data modeling, and data management.
- Strong knowledge of ETL processes and experience with relational databases.
- Proficiency in SQL or other data/query languages.
- Strong problem-solving skills with attention to detail and data accuracy.
- Creative mindset with a commitment to high standards for formatting, design, and usability in reporting solutions.
- Ability to design scalable data solutions and document processes effectively.
- Bachelors degree in Business, Computer Science, Information Technology, Data Analytics, Engineering, or a related field.