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For Companies At a Glance
- Tasks: Lead data projects, analyze trends, and provide actionable insights for business growth.
- Company: Join a dynamic team in Petaling Jaya focused on innovative data solutions.
- Benefits: Enjoy opportunities for professional growth, mentorship, and a collaborative work environment.
- Why this job: Make an impact by guiding strategic decisions with your analytical skills and insights.
- Qualifications: Bachelor's degree in relevant fields and 5+ years of experience in data analysis required.
- Other info: Stay ahead with the latest BI tools and technologies while mentoring junior team members.
The predicted salary is between 43200 - 72000 £ per year.
Your responsibilities as Data Analytics Manager will include but not limited to:
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Lead and manage comprehensive data projects, addressing business issues by gathering insights from various sources, analysing data, identifying trends, building models, and providing actionable recommendations through automated reports.
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Regularly review commercial data to pinpoint areas for enhancement and provide targeted recommendations backed by in-depth analysis.
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Employ statistical and analytical methods to interpret large datasets, drawing key conclusions and uncovering patterns, trends, and improvement opportunities.
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Develop, automate, and validate new reports, implementing corrective measures to enhance data accuracy and reliability.
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Deliver consistent reporting and analysis to senior management to support strategic business decisions.
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Guide and mentor junior BI team members, promoting best practices and supporting their professional growth.
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Stay updated on the latest trends and technologies in business intelligence, ensuring the team adopts best-in-class tools and methodologies.
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Ensure data quality and accuracy across all business intelligence solutions.
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Build and maintain good relationships with internal stakeholders to gain a deep understanding of business needs, challenges, and opportunities.
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Provide training and ongoing support to end-users on BI tools and solutions.
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Respond to ad-hoc data requests and analysis, offering insights and recommendations for further actions.
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Support budgeting and forecasting initiatives by providing accurate data insights.
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Any other assignments as directed by immediate superior as and when required.
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Bachelor’s Degree in a relevant field (e.g., Business Analytics, Statistics, Computer Science).
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Demonstrated experience in data analysis, ideally within a commercial or business-oriented role, preferably in FMCG environment.
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Detail-oriented with a strong commitment to data accuracy and quality.
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Proficiency in data analysis tools, including SQL, Excel, and Power BI.
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Effective communication and presentation skills.
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High level of integrity and a solid work ethic.
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5+ years of experience in a business analysis or finance role.
Commercial Analytics Manager - Petaling Jaya employer: Sports Direct International
Contact Detail:
Sports Direct International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analytics Manager - Petaling Jaya
✨Tip Number 1
Familiarize yourself with the latest trends in data analytics and business intelligence tools. Being knowledgeable about tools like SQL, Excel, and Power BI will not only help you in interviews but also show that you're proactive and ready to contribute from day one.
✨Tip Number 2
Network with professionals in the FMCG sector or those already working in data analytics roles. Engaging with them can provide insights into the industry and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully analyzed data and provided actionable recommendations. Highlighting your experience in leading data projects will demonstrate your capability to handle the responsibilities outlined in the job description.
✨Tip Number 4
Showcase your ability to mentor and guide others by sharing examples of how you've supported junior team members in the past. This will align well with the role's requirement to promote best practices and foster professional growth within the team.
We think you need these skills to ace Commercial Analytics Manager - Petaling Jaya
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Commercial Analytics Manager position. Understand the key responsibilities and required skills, such as data analysis, reporting, and team mentoring.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in data analysis, particularly in commercial or business-oriented roles. Mention specific tools you are proficient in, like SQL, Excel, and Power BI.
Showcase Your Analytical Skills: Provide examples of how you've used statistical and analytical methods to interpret large datasets. Highlight any successful projects where you identified trends and provided actionable recommendations.
Tailor Your Application: Customize your application materials to reflect the language and requirements mentioned in the job description. Use keywords related to data accuracy, reporting, and stakeholder engagement to make your application stand out.
How to prepare for a job interview at Sports Direct International
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to solve business problems. Highlight your experience with tools like SQL, Excel, and Power BI, and be ready to explain the methodologies you employed.
✨Demonstrate Leadership and Mentorship
Since the role involves guiding junior team members, share instances where you've mentored others or led a project. This will show your ability to foster growth within a team and your commitment to best practices.
✨Understand Business Needs
Research the company and its industry to understand their specific challenges and opportunities. Be ready to discuss how your insights can align with their business goals and improve their commercial analytics.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge and problem-solving abilities. Brush up on statistical methods and data interpretation techniques, as well as any recent trends in business intelligence that could be relevant to the role.
