Business Analytics Team Leader
3 dni temu
At OLX, we collaborate to foster a more sustainable world through commerce.
We facilitate secure, intelligent, and convenient transactions for purchasing and selling vehicles, locating accommodation, securing employment, and acquiring or divesting household goods, among other services. Our global colleagues support millions of individuals monthly through our esteemed consumer brands, including OLX, OTOMOTO, and Autovit. We invite you to join OLX and explore the extent of your potential.
Join the adventure
The role
The Real Estate team is looking for a highly analytical and strategic
Business Analytics
Team Leader
to lead our analytics team and shape data-driven decision-making across the organization. In this role, you will drive the development of innovative pricing strategies and leverage advanced analytics to enhance key business outcomes.
We are seeking a candidate who thrives in a fast-paced, multidisciplinary environment and demonstrates expertise in pricing strategies, machine learning, and advanced analytics techniques. Your leadership will be instrumental in managing a team of business analysts, with a focus on optimizing business performance and delivering actionable insights that improve user experience, marketplace efficiency, and revenue growth.
Key Responsabilities
- Develop and execute pricing strategies like Atomic Pricing, aligned with business objectives in partnership with Business Stakeholders
- Collaborate cross-functionally to create pricing proposals and optimize the product pricing mix
- Build predictive models to forecast demand, churn, and pricing sensitivity
- Lead and manage the high-performing analytics team to solve challenging business cases from customer segmentation to Real estate demand and supply forecasting and to ensure the delivery of high-quality data analysis
- Build AI agents based on our datasets to enable quick insights for other business team
- Define KPIs and dashboards to track business health, pricing performance, and business trends
- Analyze complex data sets to identify trends, patterns, and opportunities for growth or improvement
- Identify growth opportunities through segmentation and cohort analysis
- Partner with leadership in commercial, product and finance to identify data opportunities and implement recommendations
- Work with data engineering teams to oversee data infrastructure, governance, and BI tools to enable self-service analytics
- Drive the adoption of data-driven decision making throughout the organization
- Stay current on industry trends, tools, and best practices in analytics and recommend new technologies or processes
What will you need to be successful in this role?
- Bachelor's/Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
- Strong evidence of 6+ years of experience in analytics, data analysis, or business intelligence roles, including leadership experience.
- Business Acumen: Proven ability to balance data insights with commercial strategy
- Leadership: Experience managing high-performing analytics teams in a fast-paced environment
- Proficiency in data analytics tools and programming languages such as SQL, Python or R
- Experience with BI platforms like Tableau, Power BI, Looker, or equivalent
- Strong understanding of statistical analysis, predictive modeling, and data mining techniques
- Excellent problem-solving skills and ability to translate data into clear, actionable insights
- Strong communication and interpersonal skills, capable of working with stakeholders at all levels
- Proven ability to manage multiple projects and prioritize effectively in a fast-paced environment
- Fluent English
What Do We Offer
- Fantastic growth curve at an ambitious company with sustainability right at the core of its business model.
- Contributing to the global classifieds success.
- International career and travel opportunities.
- A unique opportunity to become a part of the international team, where everyone is learning from one another and respecting each other.
- A budget for training and professional development.
- Competitive salary and excellent benefits.
- A fun and casual environment where getting stuff done and enjoying the ride is far more important than rules and hierarchies.
- Perks like company mobile phone, company self-service, food supply, bonus system for good performance, and others.
Why join OLX?
At OLX, we invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training, and leadership behaviors a key focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world.
Diversity, Equity and Inclusion at OLX
At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.
If you are excited about this role, and your past experiences do not align perfectly with every criteria asked for in the job description, we would still like you to apply. You may be just the right candidate for this or other opportunities across the business, and we'd like to hear from you.
OLX (OLX consists of OLX Global B.V. and its affiliated companies) will handle your personal data with care and will process your personal data to assess your fit for the position you are applying for. You can give your consent (optional) to allow us to store your data for up to 12 months after the application process. So that in case you are not fit for the role at stake we can consider you for other suitable roles.
Please refer to our
Privacy Statement
to find out more about how your application data will be processed.
Apply for this job
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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