Role Description LaBella is currently seeking a detail-oriented and highly motivated candidate to join our team on a full-time basis as a Senior SAP Data Entry Analyst. The ideal candidate for this role is well-organized, analytical, and interested in developing expertise within enterprise systems and data management through SAP Global. - Accurately identify, enter, update, and maintain data within the SAP system as dictated by the client - Analyze equipment records, as-built plans, GIS, and other data across various software platforms/databases/work management systems - Verify and review data for accuracy, completeness, and consistency - Assist with data validation and maintenance - Identify potential errors and misaligned data quickly and report those issues to the appropriate personnel - Always maintain confidentiality and integrity of client data - Follow established processes and documentation standards for updating digital data in the SAP Global platform - Work independently on tasks and submit reports on a timely basis for tracking purposes - Provide reports detailing status of work on a timely basis - Train additional resources as required; provide support to junior staff - Coordinate with company & client data stakeholders as required - Attend meetings and participate (virtually) as required Qualifications - High School diploma or equivalent required; associate degree or bachelor’s degree preferred - Strong attention to detail and organization skills - Basic computer proficiency required, and previous experience with Microsoft Office suite (Excel, Word, Outlook) preferred - Previous experience with SAP required - Ability to learn new software platforms and internal processes quickly - Strong communication skills - Ability to work and manage your time independently while reporting on status/progress to Project Supervisor/PM Requirements - Compensation: $31-$37/hour, commensurate with experience and qualifications Benefits - Flexible Work Schedule - Health/Dental Insurance - 401k Plan with Employer Match - Paid Parental Leave - Short & Long Term Disability - Profit Sharing - Paid Time Off - Leadership Development Program - Fitness Reimbursement - Tuition Reimbursement - Referral Bonus Program - Wellness Program - Team Building Events - Community Service Events

• Analyze, interpret, and operationalize consent and privacy-related data. • Perform analysis of consent data lifecycle and identify compliance gaps. • Collaborate with engineering teams to ensure data quality and compliance. • Support integration and data governance related to consent data. • Participate in Agile ceremonies and maintain documentation of consent data.

• Work dedicated to the Beauty category, with a focus on CRM and analytical support; • Act as the bridge between the business and data, ensuring strategic interpretation of information and supporting decision-making; • Serve as an internal analytics consultant and data ambassador to the Customer Intelligence team and the Marketing Director; • Evaluate CRM campaign performance, including A/B tests and pilots to measure impact; • Analyze customer purchasing behavior to identify opportunities to increase value capture in the category; • Analyze campaign results by action, period, customer, and product, monitoring their evolution over time; • Compare campaigns within the same segment or across different segments, assessing their impact on the customer base; • Propose improvements for campaigns based on historical analyses, customer profiles, and identified opportunities; • Support strategic business areas in understanding campaign triggers and analyzing their results; • Work continuously and responsively, handling tactical requests and contributing to the ongoing development of the project.

• Design, develop, and maintain financial/operational reporting frameworks, KPI scorecards, and interactive dashboards (Power BI/Tableau) • Own the end-to-end delivery of recurring and ad-hoc reports • Analyze data across ERP systems and finance platforms to identify trends, risks, and performance drivers • Drive the adoption of self-service BI tools • Identify and execute opportunities to automate reporting and eliminate manual tasks • Partner with regional finance and Shared Service Centers to align reporting with business objectives.