Senior Technical Data Analyst

Senior Technical Data Analyst page is loaded## Senior Technical Data Analyst remote type:
Hybrid locations:
Omaha, NEtime type:
Full time posted on:
Posted Todayjob requisition :
JR101685
**** ABOUT LOZIER
**** Headquartered in Omaha, Nebraska, with facilities across the U.S., Lozier Corporation is the leading manufacturer of products used by retailers in stores and warehouses, with a vision to be operationally excellent in support of retail’s present and future. Retailers have relied on our quality products and service for more than 65 years.
** BENEFITS AND SCHEDULE
*** Company bonus potential.
* PTO (Paid Time Off) plus paid holidays.
* Competitive benefits package (Eligible for medical, dental, and vision benefits on the first day of employment).
* Onsite Health Clinic.
* 401(k) with employer match.
* Employee Assistance Program.
* Educational Assistance Program.
* Career Development Programs.
* Casual dress.
* Relocation benefits available, (as applicable).
* Monday thru Friday schedule, hybrid schedule available after training.
*
* POSITION SUMMARY:

** The Senior Technical Data Analyst plays a critical role in designing, developing, and governing enterprise data solutions. This role is responsible for executing and optimizing ETL processes, ensuring accuracy and compliance with data governance standards, and building advanced reporting and analytics that support decision-making across the business. The Senior Technical Analyst partners with business and IT stakeholders to translate requirements into scalable technical solutions, while mentoring junior staff and promoting best practices.
** ESSENTIAL JOB FUNCTIONS
*** Champion Lozier’s Mission, Vision, and Core Values by demonstrating the behaviors that contribute to Lozier’s success.
* Implement design, optimization, and governance of advanced ETL processes across multiple systems.
* Conduct and validate audits, cleansing, modeling, unit testing, and redundancy elimination efforts.
* Architect scalable data pipelines, custom business logic, and integrations using SQL, Oracle ERP, and enterprise data tools.
* Design complex dashboards and visualizations that provide actionable insights for leadership and cross-functional teams.
* Ensure enterprise compliance with data security, privacy, and governance protocols.
* Act as a liaison between business leaders, technical teams, and data stewards, translating needs into strategic data solutions.
* Guide cross-functional data initiatives, serving as project lead or subject matter expert for analytics, BI, and data management projects.
* Champion continuous improvement and influence adoption of new data management practices.
* Mentor and train junior analysts on technical skills, standards, and best practices.
* Monitor emerging trends in data analytics, visualization, AI/ML, and recommend enterprise adoption strategies.
* Demonstrate regular attendance and timeliness in reporting to work, meetings, and completing assignments.
* Ability to work well and interact with others.
** OTHER JOB FUNCTIONS
*** Document standards, workflows, and processes for ETL, data modeling, and reporting.
* Support evaluation of emerging technologies and provide recommendations for enterprise adoption.
** JOB QUALIFICATIONS
***
* Education:

** Bachelor degree in data science, computer science, engineering, mathematics, information systems, or another related field is required. Master’s degree is preferred.
*
* Experience:

** Minimum of 6 years of progressive experience in data analytics, integration, engineering, or equivalent experience, with at least 2 years of experience leading data initiatives or mentoring technical staff.
*
* Required Skills:

*** Proficient PC skills (Microsoft Excel, Word, Outlook) with extensive Excel skills including Power Query, Power Pivot, and VBA.
* Strong SQL/PL-SQL skills and proficiency with ETL tools (e.g., Talend, Qlik Data Integration).
* Proficiency with enterprise-scale data platforms (Snowflake, Databricks, Redshift, Big Query).
* Skilled in BI/reporting tools (Power BI, Tableau, Qlik).
* Solid understanding of data modeling, integration frameworks, and governance practices.
* Familiarity with API integrations and cloud/hybrid…