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Senior Data Analyst
Senior Data AnalystSleek • Kulim, Kedah, Malaysia
Senior Data Analyst

Senior Data Analyst

Sleek • Kulim, Kedah, Malaysia
30+ days ago
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 :

  • 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.
  • 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.
  • 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.

Mission : Turn data from our Revenue, Finance and Compliance sources into actionable insights for Sleek's CEO, CRO, CFO and Head of Compliance. You will play a pivotal role in Sleek's ability to scale profitably, working closely with many members of the leadership team.

Outcomes :

  • Data reliability : Ensuring that your analysis is at least 90% accurate, with clear understanding and explanation of what causes the 10% gap.
  • Dashboard creation and management : Visualising 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 and those with low utilisation are to be archived.
  • Documentation : Ensure all key metrics and calculations are clearly documented in Confluence or Google Docs and pinned / linked in our internal Wiki or Slack channels. Language should be accessible to other Data Analysts and non‑technical stakeholders.
  • Data quality recommendations : Work with Tech, Product and Data Engineers to ensure data pipelines are robust and efficient, so that BigQuery is maintained as best as possible.
  • 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 work streams, challenges and learnings.
  • Minimum of 5 years experience as a Data Analyst; most likely located in the Philippines or Malaysia.

    Behavioural fit :

  • Ownership : Reliability and accountability to see work through to completion and proactively help get things back on track when challenges arise.
  • Humility : Open‑mindedness to feedback and willingness to learn from others.
  • Structured Thinking : Sound judgment to balance needs of organisation, team and customers in a complex, multi‑layer environment.
  • Excellent listener and clear communicator : Presence in calls and thoughtful message delivery across a diverse, multilingual workforce.
  • Interview process :

  • Introductory call : 30‑minute chat with an HR member to discuss key details about the role and your eligibility for interviews.
  • Technical Assessment : 60‑minute chat where you will be given real‑life challenges that this role faces and asked for your approach to solving them.
  • Case Study : 60‑90‑minute chat with the Hiring Manager to assess commercial experience and softer skills.
  • Offer + reference interviews : Non‑binding offer verbally or over email, followed by phone or video calls with recent managers.
  • Background screening : Sleek is a regulated entity and required to perform background checks. Checks may include education, criminal history, political exposure and adverse credit history. Consent is required; adverse results may prohibit 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 :

  • Humility and kindness : Culture of not taking ourselves too seriously, laughing, kindness and commitment to diverse, inclusive environment.
  • Flexibility : Work from home 5 days per week, flexible start / end times, fully remote from anywhere in the world for 1 month each year.
  • Financial benefits : Competitive market salaries, generous paid time off, holiday schedules, employee share ownership plan and upside participation toward listing on a prominent stock exchange.
  • Personal growth : Responsibility, autonomy, fast pace, learning programmes, AI excellence centre and company growth trajectory for professional development.
  • Sleek is a proudly certified B Corp; environment initiatives include planting over 29,271 trees and carbon‑neutral goal by 2030.
  • #J-18808-Ljbffr

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    Senior Data Analyst • Kulim, Kedah, Malaysia

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