Employment Type: permanent | Hybrid one day a week from home Robert Half is working with a growing logistics company in Long Beach, CA, to find a results-driven Financial Analyst who’s ready to make a strategic impact. If you’re passionate about financial analysis, business strategy, and continuous improvement, this is your opportunity to join a thriving industry and a company focused on innovation and growth. Key Responsibilities: Analyze financial reports and flag discrepancies for resolution by management Prepare and lead strategic business reviews with a focus on actionable insights Drive performance by partnering on business-related projects such as modeling scenarios and tracking key metrics Own forecasting, budget alignment, spend tracking, month-end close activities, PO approvals, and headcount management Collaborate closely with Accounting to manage close processes, deliverables, and timelines Recommend and implement improvements in forecasting, reporting, and automation Challenge current practices and contribute fresh perspectives to support business goals Ensure full compliance with internal policies and procedures Handle ad hoc projects, including process improvement initiatives and scenario analysis Guide and mentor entry level finance staff, reviewing work and supporting detail oriented development Qualifications: Bachelor’s degree in Finance, Accounting, Business, or related field 2+ years of experience in Financial Planning & Analysis (FP& A) or a related finance role Strong understanding of forecasting, budgeting, and variance analysis Proven experience leading business reviews and delivering data-driven insights Advanced Excel skills and familiarity with financial systems and reporting tools Excellent problem-solving, analytical, and communication skills Ability to thrive in a fast-paced, team-oriented environment Why Join? Be part of a dynamic and expanding logistics company at the forefront of innovation Take on a high-impact role with visibility to leadership Competitive compensation and opportunities for career advancement Work in a collaborative, growth-focused environment Ready to move your finance career forward in the logistics world? <br> Apply today and connect with a Robert Half recruiter to learn more about this exciting opportunity.r confidential consideration, please email your recruiter with Robert Half. If you're not currently working with anyone at Robert Half, please click "Apply" or call 562-800-3963 and ask for David Bizub. Please reference job order number 00460-0013202561 . email resume to [email protected]
<p>We are looking for an experienced AWS/IDMC Data Engineer to join our team in Southern California. In this long-term contract position, you will play a key role in designing, developing, and optimizing data integration processes. This onsite role offers the opportunity to collaborate with cross-functional teams, ensuring seamless data workflows and high-performing systems. This role will be sitting onsite 4 days per week.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement data integration processes using Informatica Intelligent Cloud Services to meet business requirements.</p><p>• Collaborate with business analysts and data architects to design solutions for data transformation and integration.</p><p>• Create, test, and maintain application interfaces using various connectors, including Salesforce and other technologies.</p><p>• Automate and optimize data validation processes to enhance efficiency and reliability.</p><p>• Monitor and troubleshoot data workflows to ensure consistent system performance.</p><p>• Conduct evaluations of existing data landscapes and recommend architectural improvements.</p><p>• Build and optimize data pipelines into Amazon Redshift, ensuring scalability and performance.</p><p>• Utilize distributed data processing tools such as AWS Glue and Spark to manage large-scale data.</p><p>• Apply advanced data modeling techniques to streamline workflows and enhance system operations.</p><p>• Provide technical support and guidance to ensure compliance with best practices in data engineering.</p>
