Exness

Senior Data Analyst (Client Relationships & Service)

в Exness

от 4 000 €/‍мес на руки

📍 Куала-Лумпур (Малайзия)Помощь с переездом
Специализация
Data Analytics & BI
Уровень
Senior
Требуемый опыт
2+ лет

Технологии/инструменты

PythonpandasSQL

At Exness, we are not just a leading trading broker — we’ve reimagined what it takes to be a leader. With 40M+ trades a day and 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for 1M+ clients worldwide.

Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.

Your role at Exness

To collect, process, and analyze data to generate actionable insights that support data-driven decision-making across the organization. The role involves identifying trends, uncovering patterns, and creating visualizations or reports to communicate findings effectively to stakeholders, driving improvements in operations, strategy, and performance.

The role is based in our Kuala Lumpur office, Malaysia. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

You will

  • To define/improve metrics representing the product’s performance and operations efficiency.
  • Collect data from multiple sources, ensuring its accuracy and completeness.
  • Clean, organize, and transform raw data into usable formats for analysis.
  • To search for inefficiencies and suggest solutions.
  • To assess solutions through backtesting, A/B testing and modeling.
  • To know well the data landscape and collaborate with Data Engineers to improve it.

What makes you a great fit

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 2-4 years of hands-on experience in data analysis or a related field.
  • Experience working in Agile environments or collaborating with development teams is a plus.
  • Proficiency in SQL.
  • Strong knowledge of Python (pandas, visualization and ML packages).
  • Experience with Spark would be a plus.
  • Experience with Metabase and/or Grafana would be a plus.
  • Understanding of statistical methods, predictive modeling, and machine learning techniques.
  • Ability to perform exploratory data analysis (EDA) and hypothesis testing.

Soft skills

  • Acting as a team player.
  • Highly organized and rigorous thinker, able to solve problems diligently and creatively.
  • Detail-oriented and result-oriented individual.
  • Absolutely quick learner, able to work independently.
  • Able to adapt to constant requirement changes and produce fast solutions.

What we offer along the way

  • Competitive salary and annual performance bonus.
  • Full relocation support for you and your family — flights, housing, visas, and legal assistance included.
  • Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind.
  • Unlimited learning opportunities: external courses, English lessons, career and leadership development.
  • Education allowance covering school and kindergarten fees.
  • 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave.
  • Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones.
  • "Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar.
  • Employee share scheme — grow with us.
  • Meal and transport allowance.
  • Monthly wellness allowance for your sport or fitness of choice.
  • Holiday flight and accommodation coverage after 1 year of service.

Your journey after applying

  • First interview (up to 30 minutes).
  • English assessment (if needed).
  • Technical Interview (1 hour).
  • Task assessment (1 hour).
  • Behavioral Interview (1 hour).

Sounds like you? Apply.

Please note: we occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.

At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.

The starting salary mentioned is an indicative starting number, and the final amount will depend on the personal tax specifics and level of seniority determined during the interview process. This is the base salary only, and the total compensation will also include the performance-based bonus and benefits/allowances.

Nataliia Lugovska IT-рекрутер
Exness

О компании Exness

Сфера
Банки / Финтех
Инвестиции
Приватное финансирование
Размер
1001+

Exness Group is a global multi-asset broker that was founded in 2008 with the mission to reshape the online trading industry. We aim to maximize our client's potential when trading the markets by offering better-than-market conditions on currencies, crypto, stocks, indices, metals, and commodities.

Our fresh scientific and ethical approach has resonated with traders around the world, and the company has gone from strength to strength, with trading volumes hitting new monthly records in 2023 at $5 trillion from an active client base of 800,000. We think business and act human. Our growing community has more than 2,0100 employees in offices located in Asia and Europe.

Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. We are constantly expanding into new markets, and we're looking for a passionate team to help us grow. If you are looking for a new challenge and want to be a part of the future of online trading, please check out our open positions.

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