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


Job description

Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.

We give Entrepreneurs time back to focus on what they love doing - growing their business and being with customers.

With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space.

We operate 3 business segments:

  1. Corporate Secretary: Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign.  We are the market leaders in Singapore with ~5% market share of all new business incorporations
  2. Accounting & Bookkeeping: Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service
  3. FinTech payments: Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses

Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK.  We have around 500 staff with an intact startup mindset. 

We have recently raised Series B financing off the back of >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 one of the fastest growing companies in Asia.  

Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Singapore.

Requirements

We are looking for a Senior Data Analyst that is excited about the below Mission and Outcomes.

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 the robustness and profitability of Sleek’s operations.

Outcomes: 

1/ Data reliability 
Ensuring that your analysis is at least 90% accurate, with clear understanding and explanation of what causes the 10% gap.

2/ Dashboard creation and management 
- Visualizing data in Looker Studio or Tableau, in a way that is clear and concise
- Calculation of metrics are to be consistent with existing dashboards
- Dashboards are to be prototyped with the end user in Google Sheets before created
- Efficient/ scalable solutions to be proposed to ensure long-term sustainability of dashboards
- Dashboard usage is to be reviewed every quarter those with low utilization are to be archived

3/ Documentation 
Ensure all key metrics and calculations are clearly documented in Google Docs and pinned/ linked in our internal Wiki or Slack channels.  Language should be accessible to other Data Analysts and non-technical stakeholders.

4/ Data quality recommendations
Work with Tech, Product and Data Engineers to ensure data pipelines are robust and efficient, so that Big Query is maintained as best as possible.

5/ Collaborate with other Data Analysts 
Even though you’ll be embedded within the functional team and working independently, you’ll need to contribute to an inclusive, friendly, knowledge sharing culture with other DAs, so that everyone is aware of each other's workstreams/ sprints, challenges and learnings.

To do this, you will have a minimum of 5 years experience as a Data Analyst.


The interview process

The successful candidate will participate in the below interview stages (note that the order might be different to what you read below). 

We anticipate the process to last no more than 3 weeks from start to finish.

Whether the interviews are held over video call or in person will depend on your location and the role. 

Case study
A ~60 minute chat with the Hiring Manager (COO) or CFO and 1-2 other Data Analysts, where they will give you some real-life challenges that this role faces, and will ask for your approach to solving them.

Career deep dive 
A ~60 minute chat with the Hiring Manager (COO).

They’ll discuss your last 1-2 roles to understand your experience in more detail.  

Behavioural fit assessment
A ~60 minute chat with our Head of HR or the CFO, where they will dive into some of your recent work situations to understand how you think and work.

Offer + reference interviews
- We’ll make a non-binding offer verbally or over email, followed by a couple of short phone or video calls with references that you provide to us. 

Requirement for background screening

Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. 

This may include using external vendors to verify the below:

  • Your education
  • Any criminal history
  • Any political exposure
  • Any bankruptcy or adverse credit history

We will ask for your consent before conducting these checks.  Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation.

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

Benefits

Some other great things about working at Sleek…

Humility and kindness: Humility is a core attribute we hire for, which means we have a culture of not taking ourselves too seriously and being able to laugh.

Kindness is also incredibly important.

We are committed to creating and nurturing a diverse and inclusive environment. 

Flexibility: You’ll be able to work from home 2-3 days per week if you live in Singapore or Hong Kong, or 5 days per week if you’re fully remote.

If you need to start early or start late to cater to your family or other needs, we don’t mind, so long as you get your work done and proactively communicate.

You can also work fully remote from anywhere in the world for 1 month each year

Financial benefits: We pay competitive market salaries and provide staff with generous paid time off and holiday schedules.

Additionally, you’ll be able to access our flexi benefits scheme for home office equipment or health and fitness expenditure.  Certain staff at Sleek are also eligible for our employee share ownership plan and can share in the upside of our stellar growth trajectory as we work toward listing on a prominent stock exchange in the Asia Pacific region.

Personal growth: You’ll get a lot of responsibility and autonomy at Sleek - we move at a fast pace so you’ll be making decisions, making mistakes and learning.

There’s also a range of internal and external facing training programmes we run.

We’re also at the forefront of utilizing AI in our space and are developing a regional center of AI excellence.

It is our intention that if you leave Sleek, you leave as a more well-rounded person and professional.

Sleek is also a proudly certified B Corp: Since we started our journey in 2017, we’ve been committed to building Sleek as a force for good.

In just over 5 years, we’ve joined a community of industry leaders like Patagonia, Ben & Jerry's, and P&G who are building an inclusive, equitable, and a regenerative economy.

We have planted over 29,271 trees to reforest our ecosystem and saved 7 tons of paper from landfills by processing over 1.4M pages through Sleek Sign.

We aim to be Carbon Neutral by 2030.

Required Skill Profession

Mathematical Science Occupations


  • 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?

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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 Singapore 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 Singapore. 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 Mathematical Science Occupations 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)?

To improve your chances of getting hired for Senior Data Analyst (SQL), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

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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