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Senior Data Analyst (SQL) Job Opening In Malaysia – Now Hiring Sleek


Job description

Sleek uses AI-powered software to make back-office processes easier for micro SMEs, with a focus on customer delight.

We help Entrepreneurs save time to focus on growth and customer interactions.

We operate 3 business segments:

  • Corporate Secretary: Automating company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign.

  • Accounting & Bookkeeping: Redefining accounting, bookkeeping, tax and payroll with SleekBooks ledger, AI tools and strong customer service.

  • FinTech payments: Providing digital banking services to new businesses.

Sleek launched in 2017 and serves around 15,000 customers across Singapore, Hong Kong, Australia and the UK, with about 500 staff.

We have recently raised Series B financing after >70% compound annual growth in revenue over the last 5 years.

Sleek has been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as a fast-growing company in Asia.

We aim to be cash flow positive and tech-enabled, based in Singapore.

Requirements

We are looking for a Senior Data Analyst who is excited about the mission and outcomes described below.

Mission

Drive informed decision making within the COO's organization by turning data from our Accounting, Corporate Secretary, FinTech and Compliance operations into actionable insights that improve robustness and profitability of Sleek's operations.

Outcomes

  1. Data reliability
    Ensure your analysis is at least 90% accurate, with clear understanding and explanation of the 10% gap.

  2. Dashboard creation and management
    Visualize data in Looker Studio or Tableau clearly; ensure metrics are consistent with existing dashboards; prototype dashboards with end users in Google Sheets before creation; propose efficient, scalable solutions for long-term sustainability; review dashboard usage quarterly and archive low-utilization dashboards.

  3. Documentation
    Document key metrics and calculations in Google Docs and pin/link in internal Wiki or Slack; language should be accessible to data analysts and non-technical stakeholders.

  4. Data quality recommendations
    Collaborate with Tech, Product and Data Engineers to ensure robust data pipelines and maintain BigQuery effectively.

  5. Collaborate With Other Data Analysts
    Contribute to an inclusive, knowledge-sharing culture with other analysts; coordinate workstreams, challenges and learnings.

Minimum 5 years experience as a Data Analyst is required.

Interview process

The process may occur in a different order than listed and is expected to last no more than 3 weeks.

Interviews may be via video call or in person depending on location and role.

  1. Case study
    A 60-minute session with the Hiring Manager (COO) or CFO and 1-2 other Data Analysts to discuss real-life challenges and your approach.

  2. Career deep dive
    A 60-minute discussion with the Hiring Manager (COO) to review your recent roles and experience in detail.

  3. Behavioural fit assessment
    A 60-minute chat with Head of HR or CFO to discuss recent work situations.

  4. Offer & references
    Non-binding verbal or email offer followed by references checked via short calls.

Background screening
Sleek is a regulated entity and may perform background checks (education, criminal history, political exposure, bankruptcy/adverse credit) via external vendors.

Consent will be requested before checks are performed; adverse results may affect probation.

By submitting a job application, you confirm you have read and agree to our Data Privacy Statement for Candidates at sleek.com.

Benefits

Humility and kindness are valued; we foster diversity and inclusion.

Flexible work options include remote work 2-3 days per week in Singapore/Hong Kong or 5 days remote if fully remote, with occasional flexibility for start times.

Some roles may permit 1 month of global remote work per year.

We offer competitive salaries, generous paid time off, and a flexible benefits scheme for home office equipment or health/fitness expenses; certain staff may be eligible for an employee share ownership plan.

Sleek is a certified B Corp and is committed to sustainable impact goals, including reforestation efforts and reducing paper usage.

We aim to be carbon neutral by 2030.

#J-18808-Ljbffr

Required Skill Profession

It & Technology


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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Are You Looking for Senior Data Analyst (SQL) Job?

Great news! is currently hiring and seeking a Senior Data Analyst (SQL) to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sleek adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Malaysia laws and regulations

What Is the Average Salary Range for Senior Data Analyst (SQL) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Malaysia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Analyst (SQL)?

Key qualifications for Senior Data Analyst (SQL) typically include It & Technology and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Senior Data Analyst (SQL)?

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Interview Tips for Senior Data Analyst (SQL) Job Success

Sleek interview tips for Senior Data Analyst (SQL)

Here are some tips to help you prepare for and ace your Senior Data Analyst (SQL) job interview:

Before the Interview:

Research: Learn about the Sleek's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Analyst (SQL) interview at Sleek, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Sleek's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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