What you'll do We are seeking an experienced Senior Data Analyst to join our team. The ideal candidate will have excellent analytical skills, a deep understanding of various data analysis tools and techniques, and a passion for turning data into actionable insights. As a Senior Data Analyst, you will play a meaningful role in helping our organization make data-driven decisions and achieve its strategic goals. The day-to-day Some of your responsibilities will be, but not limited to: Develop, maintain and tackle Airflow workflows;Collect, prioritize, and analyze large datasets, ensuring data quality and integrity;Develop and implement sophisticated statistical models and data visualization techniques for sophisticated data analysis in Tableau;Build scalable data models in Python to support reporting and analysis.Identify trends and patterns in data, providing actionable insights that support decision-making.Collaborate with multi-functional teams, including IT, marketing, sales, and operations to identify business requirements and translate them into data-driven solutions.Design and implement automated data reporting processes to monitor key performance indicators in Tableau.Present findings and recommendations to senior management and partners in a clear, concise, and visually appealing manner. What you'll need The ideal candidate will have: Bachelor’s degree in Data Science, Engineering, Computer Science, information systems, or related field;A minimum of 5 years of experience in a data analyst role with a focus on data manipulation, statistical analysis, and data visualization;Expertise in Airflow, SQL, and Python;Advanced proficiency in data visualization tools like Tableau;Excellent problem-solving skills, with the ability to think critically and develop innovative solutions;Good communication and presentation skills, with the ability to effectively explain sophisticated data insights to both technical and non-technical audiences;Stay informed about current industry standard methodologies, trends, and tools in data analysis to consistently improve our approach to data-driven decision-making;Advanced proficiency in English language, both spoken and written; please submit your CV in English. What will help you on the job <ul><li>Autonomy</li><li>Teamwork</li><li>Critical thinking</li><li>Passion for excellence</li><li>Continuous learning</li><li>Innovation</li></ul>

Recognized as the leading software development company in the Americas, our client offers 100% remote modality and an excellent work environment where employees can thrive, and work in multicultural teams, with flexible schedules and endless growth opportunities. About the Role: We are looking for a Talent Data Analyst to join our Talent team. This professional will be responsible for taking raw information – numbers or qualitative data sets – and constructing narratives that help our business colleagues to make better decisions. The primary goal of this position is to take large volumes of complex data from our Talent team, extract insights, and help solve problems. What You’ll Do: - Understand the Talent funnel and architect a Data solution from scratch, including the definition of KPIs and metrics.- Work with stakeholders to understand reporting needs, identifying and querying data sources to get the required data.- Cleanse and massage data into the shape required, creating datasets, reports, and dashboards to meet requirements.- Present and gather feedback from stakeholders.- Deploy data, reports, and dashboards to Data Analysis tools, developing reports according to analyst-defined specifications.- Maintain and document the operational environment. You Must Have: - At least 3 years of experience developing Business Intelligence dashboards and reports, analyzing, and visualizing data.- An understanding of top-of-the-line Data Analysis tools. Previous experience with administration, licensing, security, and deployment is a plus.- A solid understanding of the concepts involved in modeling relational data.- Strong analytic skills, with a hands-on approach with the ability to deliver commitments.- Superior organizational skills, with a disciplined approach to implementation, support, and documentation.- Experience with ETL of data from a variety of sources using SSIS, Python, or similar technologies (is a plus).- Knowledge of SQL Server database architecture (components and processes of the database) and/or experience with creating tabular data models in SQL Server (is a plus).- Advanced English level. Benefits: - 100% remote work.- Flexible hours - make your own schedule!- Diverse and multicultural work environment.- Paid parental leave, vacation & holidays.- Hardware setup for you to work from home. - Excellent compensation — well above the market average.- Extensive opportunities for growth and professional development thanks to our mentoring system. Enjoy the opportunity to have a dynamic lifestyle, better health, and wellness. Find renewed passion in your job, improve your productivity, and benefit from attractive growth opportunities for your career. If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, but with the structure and resources of a multinational market leader, do not hesitate to apply!

Data Analyst at Javy Coffee Location: Company located in the US. Remote opportunity. Responsibilities<ul><li>Generate data scripts in Python/SQL to quickly find insights in a timely manner and present in executive friendly format.</li><li>Design, organize, and maintain intuitive dashboards in Amplitude to provide real-time insights and support data-driven decision-making across departments.</li><li>Proactively monitor data for unusual patterns or anomalies, investigating potential issues and providing actionable insights to present to management.</li><li>Structure and optimize our data warehouse management, ensuring robust, scalable, and efficient data storage and retrieval processes via FiveTran and various data sources (TikTok and Amazon)</li></ul> Qualifications<ul><li>Experience working with e-commerce companies for data analytics (in-house or in a consultative capacity).</li><li>Familiarity with product analytics tools (amplitude preferred) and setting up event tracking for sales, marketing, and product use cases.</li><li>Proficient in analyzing performance marketing funnels, including key metrics such as conversion rates, customer acquisition costs, and return on ad spend (ROAS).</li><li>Experience in SQL scripting (advanced including joins, window functions, and complex table transformations, Regex) and/ or Python (pandas/numpy/seaborn), especially in time sensitive situations.</li><li>Experience working with presenting data insights to senior leadership/ investor and creating user friendly reports of high presentability (Slide deck/memo/data notebook formats).</li><li>Experience with data modeling and data warehouse management including building data orchestration with dbt and data management in Snowflake.</li><li>Experience with marketing metrics and analysis (CPMs/CPAs/LTV) along with key financial KPIs (Revenue, Margins, forecasting)</li></ul> Years of Experience Requirements:<ul><li>4+ years data analytics experience</li><li>2+ years scripting experience</li><li>2+ years data warehousing and pipelining</li><li>2+ years working with e-commerce companies in a data analytics capacity</li></ul> Bonus Qualifications:<ul><li>Experience with pixels, server-side, and browser-based tracking (Elevar)</li><li>Knowledge of advanced modeling (SKLearn) and data analysis/ visualization (Streamlit/interactive Notebooks) with Python.</li><li>Financial modeling experience and strong excel skills.</li><li>Experience with attribution modeling/clean rooms/CDPs.</li></ul> Instructions: Please send an email to applicants@javycoffee.com and in the subject line, please include the name of the last e-commerce brand you worked for. Importante: This opportunity is for English speakers only. please send your resume in English or you will not be considered.

Data Analyst at Javy Coffee Location: Company located in the US. Remote opportunity. Responsibilities<ul><li>Generate data scripts in Python/SQL to quickly find insights in a timely manner and present in executive friendly format.</li><li>Design, organize, and maintain intuitive dashboards in Amplitude to provide real-time insights and support data-driven decision-making across departments.</li><li>Proactively monitor data for unusual patterns or anomalies, investigating potential issues and providing actionable insights to present to management.</li><li>Structure and optimize our data warehouse management, ensuring robust, scalable, and efficient data storage and retrieval processes via FiveTran and various data sources (TikTok and Amazon)</li></ul> Qualifications<ul><li>Experience working with e-commerce companies for data analytics (in-house or in a consultative capacity).</li><li>Familiarity with product analytics tools (amplitude preferred) and setting up event tracking for sales, marketing, and product use cases.</li><li>Proficient in analyzing performance marketing funnels, including key metrics such as conversion rates, customer acquisition costs, and return on ad spend (ROAS).</li><li>Experience in SQL scripting (advanced including joins, window functions, and complex table transformations, Regex) and/ or Python (pandas/numpy/seaborn), especially in time sensitive situations.</li><li>Experience working with presenting data insights to senior leadership/ investor and creating user friendly reports of high presentability (Slide deck/memo/data notebook formats).</li><li>Experience with data modeling and data warehouse management including building data orchestration with dbt and data management in Snowflake.</li><li>Experience with marketing metrics and analysis (CPMs/CPAs/LTV) along with key financial KPIs (Revenue, Margins, forecasting)</li></ul> Years of Experience Requirements:<ul><li>4+ years data analytics experience</li><li>2+ years scripting experience</li><li>2+ years data warehousing and pipelining</li><li>2+ years working with e-commerce companies in a data analytics capacity</li></ul> Bonus Qualifications:<ul><li>Experience with pixels, server-side, and browser-based tracking (Elevar)</li><li>Knowledge of advanced modeling (SKLearn) and data analysis/ visualization (Streamlit/interactive Notebooks) with Python.</li><li>Financial modeling experience and strong excel skills.</li><li>Experience with attribution modeling/clean rooms/CDPs.</li></ul> Instructions: Please send an email to applicants@javycoffee.com and in the subject line, please include the name of the last e-commerce brand you worked for.

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Data Analyst Jobs in São Paulo, Brazil

Data AnalystNovember 18, 2024

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