Sweden Job Openings
Outscal Technologies
Senior Data Analyst
November 18, 2024
15 skills required for this role
- 4+ years quantitative analysis experience
- Expertise in BI tools (e.g., Tableau)
- SQL proficiency for data extraction & analysis
- CI/CD & Git experience
- Strong communication & presentation skills
- Applied statistics skills (distributions, testing, regression)
- Scripting/programming (Python, Spark, Airflow)
- Experience with mobile application data
- Competitive salary
- 30 days paid vacation
- Flexible working hours
- Private health insurance
- Parental leave top-up
- Pension contribution
- Udemy membership
- Free gym membership
- Great tech tools
- Fun office environment and team activities
- Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and i OS, with extensive AI capabilities, with more than 400 million active users per month.
- Founded in 2009 with an impressive year-on-year growth with high profitability, listed on Nasdaq OMX Stockholm, Large Cap.
- Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins.
- A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon, and Tel Aviv with high ambitions.
- Create and analyze verification and fraud management metrics to identify opportunities for growth and cost optimization.
- Utilize data to inform and help direct the product design process by providing a clear data narrative and a deep understanding of user needs.
- Design and develop reports and dashboards to track user account verification and fraud management metrics.
- Create and manage ETL pipelines.
- Analyze the impact of changes to product design and AB tests and communicate results to stakeholders.
- Natural drive to uncover the “why” behind data trends, understand underlying business problems, and find solutions
- At least 4 years of experience doing quantitative analysis
- Expertise in business intelligence visualization tools, such as Google Data Studio, Looker, Qlik Sense, Tableau, Power BI, etc
- Experience in using SQL to extract, transform, and analyze data
- Experience in CI/CD and Git
- Work closely with stakeholders across the business to identify and act on opportunities to generate business value.
- Ability to communicate the results of your analysis in a clear and effective manner
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Ability to initiate and drive projects to completion with minimal guidance
- Good communication skills in English
- Good scripting and programming skills
- Experience with Python, Spark, and Airflow
- Experience with data from mobile applications
- A smart, talented, and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing, and fun environment.
- A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.
- Great tech tools: Pick the computer and phone you most fancy within our budget ranges.
- Office life: We strongly believe in in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, and a wide range of yummy snacks and beverages. In addition, now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, Running team, movie nights in our cinema, or a Geek lunch. There is something for everyone!
Truecaller is diverse, equal, and inclusive. We need a variety of backgrounds, perspectives, beliefs, and experiences to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you
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