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SENIOR DATA ANALYST, CI UNIT, 100% EN REMOTO

Descripción de la oferta de empleo

Senior Data Analyst, CI Unit
Job Description
Hi there!

We are Semrush a global IT company developing our own product a platform for digital marketers. New stars are born here so don t miss your chance.

This is our Senior Data Analyst role for those who strive to implement functional processes and drive them to full completion.
Tasks in the role

- Collaborate with the Analytics team to develop and maintain business intelligence dashboards and reports

- Analyze data to provide insights into business performance and make use of advanced statistical models and machine learning algorithms to drive predictive analytics and identify revenue opportunities

- Work closely with Business teams to understand their requirements independently formulate tasks propose novel hypotheses and foundational research projects and provide data-driven solutions for the most complex and strategically significant challenges

- Develop and maintain relationships with key stakeholders and act as a strategic partner to drive business growth

- Collaborate with other Analytics teams on data warehousing and analytics infrastructure ensuring data accuracy and completeness

- Lead and manage projects of varying sizes coordinating with multiple teams and ensuring timely and successful completion

- Present complex findings to senior leadership in a clear and concise manner ensuring technical insights are understandable to all stakeholders and recommendations are actionable

- Develop and maintain a deep understanding of the business market trends and emerging analytical technologies

- Lead the implementation of analytics solutions and ensure successful adoption by business stakeholders

- Mentor and guide both junior and mid-level analysts fostering growth and ensuring best practices are upheld

- Conduct knowledge-sharing sessions and facilitate knowledge transfer throughout the Analytics team


Requirements
Who we are looking for

- Bachelor s degree in Economics Mathematics Statistics Computer Science or a related field. A Master s or advanced degree is highly preferred.

- 5+ years of experience in data analysis business intelligence or a related field

- Solid foundation in math probability theory and statistics

- Knowledge of the Python programming language experience in data wrangling and use of visualization libraries

- Expert-level proficiency in SQL and other database technologies

- Strong analytical skills and ability to work with complex data sets

- Proficiency in data visualization and BI tools such as Tableau

- Experience in designing executing and interpreting A/B tests and experiments

- Excellent communication skills with the ability to present complex data insights at executive levels

- Proven track record of managing multiple projects and priorities in a fast-paced environment

- Expertise in statistical analysis techniques and predictive modeling

- Experience in managing and mentoring junior team members


Not required but a plus

- Familiarity with cloud-based platforms such as GCP

- You share our common values Trust because we prefer to speak up and be our true selves Sense of Ownership because it s not worth wasting time on something you don t believe in and enthusiasm for Constant Changes because we are always looking to make things better


- Google Cloud Platform (Google BigQuery as DWH Compute Engine for servers).

- Python SQL.

- Tableau for visualization.

- Gitlab + Airflow for code versioning and CI/CD.


We will try to create all the right conditions for you to work and rest comfortably

- It s up to you to decide what work format works best for you. You can #wfo #wfh or mix both.

- Flexible working day start

- Unlimited PTO

- Hobby benefit

- Breakfast snacks and coffee at the office

- Corporate events

- Training courses conferences

- Gifts for employees

Python, SQL

Python, SQL
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Detalles de la oferta

Empresa
  • Semrush
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Tipo de Contrato
  • Sin especificar
Fecha de publicación
  • 21/11/2024
Fecha de expiración
  • 19/02/2025
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