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Senior Data Analyst

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 450 staff with an intact startup mindset. 

We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have 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.

We are looking for a Senior Data Analyst that is excited about the below Mission and Outcomes over the next 6-12 months.

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. 
- We are offering SGD 3,000 to SGD 4,000 monthly remuneration for this role, along with the other financial, wellbeing and lifestyle benefits mentioned earlier in the job description.

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.

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.

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CEO of Sleek
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Average salary estimate

$42000 / YEARLY (est.)
min
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$36000K
$48000K

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What You Should Know About Senior Data Analyst, Sleek

At Sleek, we're on the hunt for a dynamic Senior Data Analyst who is excited to shape the future of back-office solutions for micro SMEs. If you have a knack for turning numbers into narratives, this role is perfect for you! With our proprietary software and AI-driven insights, you will play a pivotal role in informing decision-making within our COO's organization. You'll transform data from our Accounting, Corporate Secretary, FinTech, and Compliance operations into actionable insights that will improve our operations' robustness and profitability. Your mission will include ensuring data reliability while engaging in the fascinating world of dashboard creation, where you'll visualize data in Looker Studio or Tableau. Clear documentation of key metrics will be your forte as you liaise with Tech, Product, and Data Engineers to boost data quality. Collaboration is key here; you will work independently but also contribute to a welcoming culture among fellow Data Analysts. With around 5 years of experience under your belt, your analytical mindset and attention to detail will help propel Sleek and its impressive growth trajectory forward. Join us in our exciting journey as we aim to be one of the few cash flow positive, tech-enabled unicorns in Singapore. If you're looking for a role that balances responsibility, autonomy, and the chance to work in a fast-paced, innovative environment, we'd love to hear from you!

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at Sleek
What are the key responsibilities of a Senior Data Analyst at Sleek?

As a Senior Data Analyst at Sleek, your primary responsibilities will include driving informed decision-making by analyzing data from various operations such as Accounting, Corporate Secretary, FinTech, and Compliance. You'll ensure data reliability at a minimum of 90% accuracy, manage and create dashboards in Looker Studio or Tableau, and document key metrics for accessibility. Your role will also require collaboration with Tech and Product teams to refine data pipelines for optimal performance.

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What qualifications are required for the Senior Data Analyst position at Sleek?

To qualify for the Senior Data Analyst position at Sleek, candidates should possess a minimum of 5 years of experience in a data analytics role. A strong foundation in data visualization tools like Looker Studio or Tableau is essential. Additionally, the ideal candidate will have exceptional analytical skills, attention to detail, and the capability to communicate complex data insights clearly to both technical and non-technical stakeholders.

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How does collaboration work for Senior Data Analysts at Sleek?

Collaboration is integral to the role of a Senior Data Analyst at Sleek. Although you will work closely within your functional team, you will also engage with other Data Analysts across different teams to foster a culture of knowledge sharing. This involves regular communication about workstreams, challenges faced, and learnings acquired to ensure everyone is aligned on the organization's overarching goals.

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What is the interview process like for the Senior Data Analyst role at Sleek?

The interview process for the Senior Data Analyst position at Sleek includes several stages. Initially, there will be a case study discussion with the Hiring Manager and a few other Data Analysts to evaluate your problem-solving approach. Following this is a career deep dive to further understand your previous experience, and finally, a behavioral fit assessment to gauge how your work style aligns with Sleek’s culture. The entire process is expected to last around 3 weeks.

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What opportunities for personal growth are available for Senior Data Analysts at Sleek?

At Sleek, personal growth is a priority. As a Senior Data Analyst, you will have the autonomy and responsibility to make impactful decisions rapidly. The company offers a variety of training programs, both internal and external, to enhance your skills. Additionally, you will be working at the forefront of AI innovations, which will further bolster your professional development. Our aim is to ensure you not only grow as a professional but also as a person during your time with us.

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Common Interview Questions for Senior Data Analyst
Can you explain a complex data analysis project you've worked on?

In your response, outline the project objectives, the methodologies you employed, and the impact your analysis had on decision-making. Be sure to highlight any challenges you faced and how you overcame them.

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How do you ensure the accuracy of your data analysis?

Discuss the processes you implement to verify data integrity, such as cross-referencing results, utilizing robust data validation techniques, and documenting discrepancies to improve future analyses.

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What tools do you prefer for data visualization and why?

Share your preferred visualization tools, like Looker Studio or Tableau, and discuss their advantages in terms of usability, integrating with data sources, and capabilities for creating clear and insightful dashboards that drive business decisions.

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How do you handle tight deadlines when analyzing data?

It's essential to showcase your time management strategies. Discuss prioritizing tasks, breaking down larger projects into manageable parts, and employing streamlined processes to meet deadlines while ensuring quality.

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Can you provide an example of how you've used data to improve a business process?

Outline a specific instance where you utilized data analysis to identify inefficiencies, make recommendations, and measure the improvements thereafter. Quantifying the impact helps reinforce your contributions.

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What experience do you have collaborating with technical teams?

Highlight previous interactions with IT or technical teams, the projects you collaborated on, and how those partnerships enhanced the outcome of your analytical work. Stress the importance of clear communication in achieving common goals.

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How do you communicate complex data findings to non-technical stakeholders?

Discuss techniques for translating complex analyses into understandable formats. This could include using visualizations, storytelling approaches, and making sure to focus on insights that impact business objectives.

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What metrics do you believe are most critical for assessing the performance of a company like Sleek?

Identify the key performance indicators relevant to Pillars such as growth, customer satisfaction, and operational efficiency. Explain why tracking these metrics is valuable in evaluating overall business health.

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How do you approach documentation of your data findings?

Discuss your methods for maintaining thorough documentation of analyses and insights, emphasizing clarity, accessibility, and organization to facilitate knowledge sharing among your peers.

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What do you find most challenging about being a Senior Data Analyst?

Be honest about challenges such as changing priorities or data integrity issues. Discuss how you approach these challenges positively, often by adapting your strategies or seeking collaborative solutions.

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Full-time, hybrid
DATE POSTED
December 30, 2024

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