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Heidelberg Materials

Optimization Data Analyst II

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Job Description

Optimization Data Analyst II Date Posted:
18 October 2026
Closing Date:
November 17, 2026
Recruiter:
Heidelberg Materials Location:
Southlake, Texas Salary:
USD98,000
to
USD135,000
Job Type & Industry:
Data, Ai & Technology >
Data Analysis Contract Type:
Permanent Job Reference:
3026986205-2 Apply for this job now Job Description 51905 HROC LLC is seeking an Optimization Specialist II to improve performance across digital campaigns, workflows, and business processes. In this role, you will analyze data, build test plans, and implement optimization strategies to drive measurable gains in efficiency, conversion, and ROI. You will design A/B and multivariate tests, monitor dashboards, and translate findings into clear recommendations for stakeholders. The ideal candidate is highly analytical, comfortable with large datasets, and experienced with optimization tools, basic scripting/SQL, and cross functional collaboration in a fast paced environment. Responsibilities Analyze large datasets to identify trends, bottlenecks, and optimization opportunities Design and execute A/B and multivariate tests across campaigns and processes Develop and maintain performance dashboards and reporting for key stakeholders Translate analytical findings into clear, actionable optimization recommendations Collaborate with marketing, product, and operations teams to implement changes Monitor performance metrics and iterate to improve conversion, efficiency, and ROIDocument test plans, methodologies, and results for organizational learning Use basic scripting or SQL to extract, clean, and manipulate data Ensure data quality, accuracy, and consistency in all reporting Stay current on optimization tools, analytics methods, and best practices Required Skills Data analysis A/B and multivariate testing SQLDashboarding and reporting (e.g., Tableau, Power BI, Data Studio) Excel or Google Sheets (advanced) Statistical analysis and experimentation design Digital analytics platforms (e.g., Google Analytics) Scripting language familiarity (e.g., Python, R) Optimization and CRO tools Presentation and data storytelling