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Data Analyst

Company Description

About SEEK

SEEK operates market-leading online employment marketplaces, including Jobstreet and Jobsdb in Asia. SEEK has been helping people live more fulfilling and productive working lives and helping organisations succeed for over 25 years.

Founded and headquartered in Melbourne, Australia, SEEK has grown into a multinational technology company with over 3,300 employees and is listed on the Australian Securities Exchange.

SEEK’s presence spans Australia, New Zealand, Hong Kong, Indonesia, Malaysia, the Philippines, Singapore and Thailand. Additionally, SEEK has minority investments in employment marketplaces in China, South Korea and Bangladesh.

SEEK develops and applies innovative data and technology tools to facilitate high-quality matching and improve reliability of marketplace information.

In 2021, 2022, 2023 and 2024, SEEK was recognised as one of Australia’s Top Ten Places to Work in Technology in the AFR BOSS Best Places to Work awards. SEEK was also named a 5-Star Employer of Choice by HRD Asia in 2024 and won four accolades at TalentCorp’s Life at Work Awards 2023 in Malaysia.

Job Description

SEEK is looking for a data analyst who can partner with the Product Team to enable their understanding and decision making, drive innovation, and assist in creating fantastic products for our customers.

This position reports to an Analytics Manager and is part of a broader team of data analysts who partner in close collaboration with Product Managers across the SEEK group.

Success in this role would involve partnering to Product Managers and deriving analytical solutions that generate insight into how successfully our products meet customer needs.

This may include developing dashboards, running A/B tests, and deep-dive analyses.

About the role
Data analysts serve as a trusted partner with Product Managers and are responsible for providing analytical solutions that support the product development life cycle.

We are looking for a self-starter who can demonstrate great problem-solving skills, tolerate ambiguity and is comfortable working in a fast-paced environment. To succeed in this role, you will be required to provide sound judgment under pressure. You have a strong background working in analytics and have an understanding of analytical concepts including A/B testing, meticulous attention to detail, and outstanding organizational and communication skills.

The ideal candidate will have a sharp business mind, a proven ability to assess the needs of partners and translate them into analytical solutions. As a trusted partner, you will ensure Product Managers understand the performance of their products, the impact of product developments, and can talk confidently to their metrics. Ultimately, you are motivated by the desire to help our product function optimise outcomes for our customers.
 
Responsibilities : 

  • Own engagement with stakeholders and serve as a trusted analytics partner to the business for your specific product area.
  • Creating structured frameworks for measuring product health (e.g conversion funnels)
  • Identify issues, risks, dependencies, and drive resolution.
  • Work in concert with data and product teams to ensure we have the necessary data to meet objectives and requirements.
  • Break down sophisticated requirements into clearly documented stories.

Qualifications

Skills and experience : 

  • Strong skills in analytics, mathematics and statistics are required with tertiary qualifications in a relevant field advantageous (Science, Mathematics, Statistics, CompSci, etc). 
  • At least 3 years of experience in analytical roles working with large scale, complex datasets and a demonstrated ability to present analytics and insights in an intuitive manner.
  • Well developed analytical and problem-solving skills and a demonstrated ability to translate and present data in a concise and meaningful way to stakeholders.
  • An ability to translate business needs into analytical, data and tracking requirements
  • An ability to work in projects with varying levels of ambiguity, and priorities that can change rapidly.
  • Proven ability to work with various stakeholder groups – data science, engineering, product managers business stakeholders.
  • Strong SQL (and programming skills in Python would be advantageous).
  • Strong experience with Tableau or similar reporting software
  • Strong collaboration skills and an ability to work cross functionally.
  • Strong EQ and an empathetic communication style that fosters collaboration and confidence. Builds trust, safety, and inclusion in teams.
  • Strong negotiation, organizational, multi-tasking, and prioritization abilities with excellent attention to detail.

Additional Information

The Team

The AIPS team is structured into small, cross-disciplinary, autonomous teams of 4-10 people who research, design, develop and support ML data driven products to support the business needs of one or more of SEEK’s 18 global business units.

 

  • Permanent position
  • Hybrid working mode
  • Mature & collaborative working culture
  • Extensive employee benefits

At SEEK, we are passionate about fostering a culture of inclusion and wellbeing that embraces and values the diversity of our people. We are a purpose driven business that works with heart.

We know teams with diverse ideas, experiences and perspectives are more creative and are critical to ensuring effective delivery and innovating to enable our future success. As such, we welcome applications from people with diverse backgrounds and life experiences, especially as they relate to gender, sexual identity, culture, faith, disability and life stages. If you have the skills, curiosity and an adaptable mindset but don't meet every responsibility or qualification listed in this advertisement, please still get in touch with us.

Should you require any specific support or adjustments throughout the recruitment process and beyond, please advise us and we will be happy to assist.

SEEK kindly requests no unsolicited resumes or approaches from recruitment agencies and will not be responsible for any associated fees.

Average salary estimate

$70000 / YEARLY (est.)
min
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$60000K
$80000K

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What You Should Know About Data Analyst, Seek

SEEK is on the lookout for a dynamic Data Analyst to join our growing team in Kuala Lumpur, Malaysia. This role is all about building solid partnerships with our Product Team, helping them make informed decisions and driving innovation that makes a true difference for our customers. As a Data Analyst at SEEK, you'll dive deep into analytical challenges, turning complex data into clear insights that enhance product performance. Reporting to the Analytics Manager, you will be part of a vibrant team of data analysts dedicated to collaborating closely with Product Managers. Enjoying this role means you thrive in a fast-paced environment, embrace the challenge of problem-solving, and possess outstanding organizational and communication skills. Your responsibilities will range from creating structured frameworks for measuring product health to running A/B tests that guide our product development efforts. To excel at SEEK, having a strong background in analytics, a high EQ, and empathy for collaboration will be crucial, as you will strive to ensure that Product Managers clearly understand their metrics and the impact of their products. If you’re motivated by aiding product functionalities and optimizing outcomes for users, this is the place for you! Join SEEK, where we celebrate diversity, inclusion, and innovative thinking in shaping a productive workforce. Apply today and become part of a team that values your unique perspective and contributions!

Frequently Asked Questions (FAQs) for Data Analyst Role at Seek
What does a Data Analyst at SEEK do?

At SEEK, a Data Analyst partners with the Product Team to derive analytical solutions that enhance understanding and drive innovation. You will be responsible for creating dashboards, conducting A/B tests, and performing deep-dive analyses to ensure products meet customer needs effectively.

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What qualifications are needed for a Data Analyst position at SEEK?

To be a Data Analyst at SEEK, a strong background in analytics is essential. Ideally, candidates should have tertiary qualifications in a relevant field, such as Science, Mathematics, Statistics, or Computer Science, alongside at least 3 years of experience in analytical roles with a focus on large-scale datasets.

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What skills can enhance my application for the Data Analyst role at SEEK?

Key skills that will enhance your application include strong proficiency in SQL, experience with data visualization tools like Tableau, and programming skills in Python. Moreover, analytical problem-solving and effective communication skills are crucial to working closely with product managers and stakeholders.

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What is the working environment like for a Data Analyst at SEEK?

The working environment at SEEK for Data Analysts is collaborative and dynamic. The AIPS team is structured into small, autonomous groups, fostering a mature culture that embraces diversity and inclusion while allowing for flexible hybrid working arrangements.

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What tools do Data Analysts at SEEK use?

Data Analysts at SEEK typically utilize tools such as SQL for data extraction, Tableau for reporting and visualization, and Python for advanced analytics. Familiarity with these tools can greatly benefit your role and enhance our product insights.

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Can I apply for the Data Analyst role at SEEK if I don't meet all the qualifications?

Absolutely! SEEK values diverse perspectives and understands that candidates may have varying experiences. If you possess the skills, curiosity, and adaptable mindset, even if you don't meet every qualification, we still encourage you to apply.

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What support does SEEK provide during the recruitment process for Data Analyst roles?

SEEK is committed to inclusivity and offers support throughout the recruitment process. If you require specific adjustments or assistance, you are encouraged to communicate your needs, and we will be pleased to accommodate.

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Common Interview Questions for Data Analyst
How do you define the role of a Data Analyst?

A Data Analyst is primarily responsible for transforming data into actionable insights by analyzing datasets, identifying trends, and presenting findings in a clear manner. To answer effectively, share your understanding of how analysts support product decisions and contribute to business strategy.

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What experience do you have with A/B testing?

When discussing your A/B testing experience, highlight specific projects where you ran tests, the metrics you focused on, and the insights gained. Explain how these insights influenced product decisions or improvements. Showcase your problem-solving approach and analytical skills during your explanation.

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Can you explain a time when you had to present complex data findings to non-technical stakeholders?

For this question, recall a specific instance where you translated complex data into a digestible format. Mention the visualization tools used and how you tailored your presentation to suit the audience's understanding, reinforcing the importance of effective communication in analytics.

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What statistical tools and software are you proficient in?

Mention the statistical tools and software you are proficient in, especially SQL, Tableau, and Python. Illustrate your experience with each tool by referring to projects where you utilized them effectively to draw insights from data.

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Describe how you prioritize multiple projects with shifting deadlines.

When tackling prioritization, outline your approach to assessing project urgencies and alignment with team goals. Discuss time management strategies you've implemented and provide examples demonstrating how you've adapted to changing priorities in past roles.

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What metrics do you consider most crucial when evaluating product performance?

In response, identify key metrics relevant to product performance such as conversion rates, user engagement, and customer satisfaction scores. Explain how these metrics help gauge success and guide product enhancements, demonstrating your analytical mindset.

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How do you ensure data accuracy in your analyses?

To ensure data accuracy, describe your methods for data validation, such as cross-referencing with other datasets or employing automated quality checks. Highlight your attention to detail and methods for checking for discrepancies in your analysis.

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Share an example of a complex problem you've solved using data.

Provide a detailed example of a complex problem, explaining the data analysis methods you employed and how the insights derived contributed to the solution. Highlight your analytical process and the impact of your findings on the business.

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How do you stay updated on current trends and tools in data analytics?

Discuss your strategies for staying informed on industry trends, such as reading analytical blogs, participating in webinars, or engaging with professional networks. Explain how you apply this knowledge to your work, reflecting your commitment to continuous learning.

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What is your approach when working with cross-functional teams?

Share your approach to collaboration, emphasizing the importance of open communication and empathy in building relationships across functions. Provide examples that demonstrate your ability to work with diverse teams and align on shared objectives, showcasing your interpersonal skills.

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38 jobs
MATCH
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CULTURE VALUES
Customer-Centric
Mission Driven
Dare to be Different
Diversity of Opinions
Friends Outside of Work
Startup Mindset
Emails over Meetings
Transparent & Candid
Growth & Learning
BENEFITS & PERKS
Medical Insurance
Learning & Development
Paid Holidays
Paid Sick Days
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 24, 2024

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