Senior Analyst, Data Analytics

Job not on LinkedIn

🕒 February 25

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

MFSG

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🔧 Hardware

🤝 B2B

🚗 Transport

Hardware • B2B • Transport

MFSG is a provider of automated material handling systems (AMHS) and related control software for semiconductor fabs. The company designs and supplies hardware such as overhead hoist transport (OHT) systems, autonomous mobile robots (AMR), conveyors, FOUP/POD stockers, reticle cabinets, buffers, and purge systems, along with software solutions including material control systems, FAB monitoring & simulation, and mobile robot and transport controllers. MFSG focuses on improving fab efficiency, flexibility, and reliability for semiconductor manufacturers through integrated hardware and software solutions, and is based in Singapore.

📋 Description

• Leverage data expertise to analyze a wide spectrum of data to provide insights and solutions to the business. • Identify and improve inefficiencies or issues in current data processes and reports with a “there’s always room for improvement” mindset. • Conceive, design & develop purpose focused reports and dashboards that drive value and meets business needs. • Manipulate large data sets from multiple sources to provide business metric reporting. • Communicate concise and actionable business strategies from vast amounts of data to senior management. • Continuously broaden knowledge of different business verticals and their functions and how they utilize data. • Lead the regular touchpoint with business stakeholders to provide insights beyond what is requested and/or provide data solutions to improve their workflow. • Conduct advanced statistical and financial analysis to uncover trends, patterns, and business opportunities. • Leverage statistical modeling, predictive analytics, and machine learning techniques to provide deeper insights into business operations and market conditions. • Produce high-quality, visually compelling reports and dashboards using tools such as Tableau, Power BI, or Excel for stakeholders at all levels. • Support the Sr. Manager of Analytics in defining key metrics, performance targets, and project priorities for the department.

🎯 Requirements

• Bachelor’s degree or higher in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics • 4 years of experience in reporting, analysis and strategy development in the financial services industry. • Proven experience using SQL, R, Python, or similar data mining and analytics applications. • Experience with Tableau, Microsoft Power BI, Microsoft SSRS or other tools. • Proficient in Microsoft Excel, including advanced functions such as pivot tables, macros, and data analysis tools • Strong attention to detail, with a high level of accuracy in data analysis and reporting. • Capable of completing descriptive, diagnostic, exploratory, predictive, and prescriptive analytical exercises • Proven ability to effectively analyze and interpret large amounts of raw data to accurately convey business needs. • Good business judgment with demonstrated ability to think creatively and strategically. • Ability to draw conclusions and provide explanations and make recommendations based on analysis.

🏖️ Benefits

• Competitive Employee Benefits • Comprehensive Medical Coverage • Includes employee, spouse, two children, and two parents. • Coverage Amount: ₹6 lakhs annually • Provident Fund Contribution • Employer contribution of ₹1,800 per month to support long-term financial security. • Performance-Based Incentives • Annual bonus of up to 5% of base salary, based on performance and company success. • Bucketlist Rewards Platform • Recognizing outstanding contributions through a point-based rewards system. • Work-Life Balance & Flexibility • Flexible Work Model • Currently remote, with a future transition to a hybrid model. • Continuous Learning Culture • Access to upskilling programs, mentorship, and professional development resources. • Career Growth Opportunities • Internal mobility programs to help employees advance in their careers. • Collaborative Knowledge Sharing • Work with global teams, gaining exposure to international best practices.