SENIOR DATA ANALYST
4 days ago
About the Role: Join an international team of talented data professionals united by a passion for transforming complex datasets into actionable insights. With over 200 million users analyzed continuously and 35 billion transactions processed monthly , we operate at a massive scale. Do you have what it takes to turn this data into real business impact? As a Senior Data Analyst at Bemobi , you’ll play a key role in shaping data strategy, designing efficient analysis pipelines, and delivering insights that directly drive business growth and client success. You’ll work closely with cross‑functional teams, mentoring junior analysts while collaborating with senior stakeholders across the globe. What You’ll Do: Develop, optimize, and maintain scalable data pipelines for cleansing, validation, and analysis of large datasets. Apply advanced statistical and analytical techniques to uncover patterns, trends, and opportunities for business growth. Translate complex findings into clear and compelling presentations for internal teams and external clients. Design, build, and maintain reports and dashboards using BI tools (primarily AWS QuickSight ). Partner with Data Engineers and Data Scientists to improve data accessibility and enhance decision‑making. Provide mentorship and guidance to junior analysts, fostering best practices in analytics and reporting. Skills and Qualifications: At least 4 years of proven experience as a Data Analyst, Senior Analyst, Data Scientist, or a similar role. Bachelor’s degree in Statistics, Data Science, Applied Mathematics, Economics, or other quantitative field . Master’s degree in a related field is preferred but not required. Solid background in applying statistical methods (e.g., quantiles, descriptive statistics, sampling, A/B testing). Advanced SQL skills with the ability to query and manipulate large datasets. Strong working knowledge of Python for data analysis and automation. Proficiency in Microsoft Excel (intermediate to advanced). Experience with BI tools, preferably Amazon QuickSight (or alternatives such as Power BI, Tableau, Looker). Familiarity with AWS products (S3, Athena, EC2, Glue) is a strong plus. Excellent communication skills, both written and verbal, with experience presenting to business and technical audiences. Strong business acumen to translate complex technical artifacts into commercial strategy and implementation — can translate technical into business (and vice versa). With leadership skills. Industry experience in telecommunications, finance, fintech, or other regulated industries is preferred. Willingness to travel occasionally to client offices outside the Philippines. #J-18808-Ljbffr
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Senior Data Analyst
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