One-stop-shop for entrepreneurs to start & grow their business in Australia, Hong Kong, Singapore and the UK.
Senior Data Analyst – Marketing
Location
Singapore
Posted
87 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Analyst – Marketing
Sleek
• Turn data from our Marketing & CRM sources into actionable insights for Sleek’s CEO, CRO, Marketing Leaders & CFO. • Improve Monthly Leadership Reporting of Marketing: include targets in Marketing dashboard, Drive revamp of Marketing Dashboard in Tableau, in a way that is clear and concise. Add visualizations most useful for users, remove little used sections. • Improve Marketing department level reporting to drive better actions: Improve page-level performance reporting and keyword mapping to support SEO, Improve website analytics reporting (working closely with eCommerce team) to support improvements on conversion rates. • Data integrity & 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. Ensure Channel attribution is representative of the true source of leads and customers. Drive improvements with various teams responsible of the input data (platform, CRM, eCommerce) to ensure maximum accuracy. • Competitive Reporting: Define & Build competitive reporting dashboards or tools to monitor & drive action. • 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. • Manage 1 intern + 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. You will also manage 1 intern.
Job Requirements
- A minimum of 8 years experience as a Data Analyst in Marketing.
- Strong Experience with Channel attribution & web analytics datasets.
- Strong SQL skills
- Experience with Tableau
- Experience with CRM systems & data, Hubspot preferred
- Experience with AI-based data analytics, with recent models
- Behavioural fit is also important at Sleek, and we will be looking for candidates that have a proven track record of embodying the below attributes in their recent roles:
- Ownership: This shows reliability and helps build trust within the team. We move fast and need to know that everyone will see things through to completion and proactively help to get things back on track when challenges arise. Accountability is really important to us.
- Humility: There is so much we don’t know. Humility allows for open-mindedness to feedback and a willingness to learn from others. It paves the way for collaboration and creates a positive work environment. It is a key ingredient of self awareness and emotional intelligence.
- Structured Thinking: Our business is complex with many layers (many services, many countries, many cultures). Regardless of whether you’re more analytical or creative in nature, being able to show sound judgement is important to us. It ensures solutions are pragmatic and balance the needs of the organisation, team and customers.
- Data driven: We are a data rich business with ~15,000 small customers. Each decision we make can impact many more people than we realise - so it’s critical that we use sound data to support our strategies and review the success of our initiatives.
- Can have tough conversations in a positive way: It’s not a matter of if, but when difficult interpersonal situations arise. Disagreement, conflict and disappointment are a given in a fast moving business where people care about their work. People that proactively have tough conversations with kindness build empathy, trust and great working relationships.
Benefits
- 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. 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 utilising AI in our space and are developing a regional centre 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.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Research, interpret, and analyze existing and proposed trends, laws, and regulations affecting credit unions and the financial services marketplace. • Collect, organize, and analyze policy trends and concepts, as well as quantitative and qualitative data. • Translate complex data findings into clear narratives that explain why the data matters and how it informs policy choices. • Collaborate with internal advocacy teams and external stakeholders to build research-supported policy statements. • Build and maintain a robust policy resource library including summaries, data visualizations, research reports, and analytical tools.
• analisi e interpretazione di dati aziendali a supporto dei processi decisionali; • creazione di report, dashboard e visualizzazioni con strumenti come Power BI o Qlik; • interrogazione e gestione di database relazionali (SQL); • utilizzo di linguaggi di programmazione come Python o R per analisi statistiche e data manipulation; • collaborazione con diversi stakeholder per comprendere le esigenze di business e tradurle in analisi e insight; • definizione e monitoraggio di KPI e metriche.
• Own analytical framing and execution for high-stakes business questions related to value creation, strategy, and operational performance • Define and maintain trusted KPIs and Snowflake data marts using DBT to ensure reliable, decision-ready data foundations • Design and maintain executive dashboards in QuickSight that answer meaningful business questions and reduce metric ambiguity • Apply a hypothesis-first approach to analysis, identifying likely drivers, testing competing explanations, and making clear recommendations even with imperfect data • Translate complex healthcare data into concise memos, slides, and narratives tailored to decision-makers • Partner cross-functionally with Data Engineering, Finance, Operations, and Customer Success to ensure alignment on metrics, sources of truth, and performance insights
• deliver a the final business solution to the operations team through a Power BI Experience • shape data into a crispy design through a smooth user experience • work on cutting edge data technology as a key user on Ryder's Azure Data Lake • design critical analytical dashboards, reports and queries to drive strategic business decisions • dig deep into the core issues of business problems to drive a solution • engage the business, evaluating their needs and ad-hoc requests • coach, mentor and learn from the upcoming generation of product experts • enhance data maturity and integration to standardize core value add functionality • challenge the status quo and guide entrepreneurial innovation
