Senior Data Analyst

hace 2 semanas


Desde casa, México EPAM Systems, Inc. A tiempo completo

We are seeking a talented **Senior Data Analyst**to join our team.**Responsibilities**- Lead and execute cross-functional initiatives to standardize data, increase data accessibility, and promote data-driven decision-making- Analyze and communicate findings to both technical and non-technical stakeholders in a clear and impactful manner- Collaborate with stakeholders to design, develop, and evaluate A/B tests for product and business experiments- Create and maintain intuitive dashboards, reports, and presentations to support both operational and strategic decision-making- Conduct advanced deep-dive analysis to uncover insights and provide explanations for observed outcomes- Build strong, collaborative relationships with stakeholders to foster trust and knowledge sharing- Translate business needs into actionable analytical solutions that address key challenges- Continuously improve reporting tools and processes to enhance data visibility and usability**Requirements**:- Bachelor’s or Master’s degree in Business, Economics, Statistics, Computer Science, or a related field- At least 3 years of experience in a data analytics role, preferably within a SaaS business- Advanced proficiency with SQL for querying and manipulating large datasets- Expertise in data visualization tools, particularly Looker with LookML, with familiarity in Tableau or PowerBI as a plus- Hands-on experience with Python for data processing and analysis- Experience with DBT and data modeling frameworks- Ability to think strategically and proactively identify and address business challenges using data- Strong sense of ownership, capable of independently initiating and managing projects from start to finish- Skilled at interpreting complex datasets and extracting actionable insights to guide decision-making- Adept at identifying patterns and translating business questions into effective analytical solutions- Demonstrates a problem-solving mindset and stays informed about the latest data analysis methodologies- Fluent in English, both written and spoken, at a B2+ level or higher**Nice to have**- Experience with experiment design and A/B testing methodologies- Familiarity with documentation and version control tools such as GitHub, Atlan, or Confluence- Knowledge of data science libraries such as pandas, polars, and scikit-learn (sklearn)**We offer**- Career plan and real growth opportunities- Unlimited access to LinkedIn learning solutions- Constant training, mentoring, online corporate courses, eLearning and more- English classes with a certified teacher- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)- Flexible work schedule and dress code- Collaborate in a multicultural environment and share best practices from around the globe- Hired directly by EPAM & 100% under payroll- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)- 13 % employee savings fund, capped to the law limit- Grocery coupons- 30 days December bonus- Employee Stock Purchase Plan- 12 vacations days- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)- Monthly non-taxable amount for the electricity and internet billsEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.


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