Data Analyst - Hybrid
# Data Analyst - Hybrid **Rising Tide Digital Inc.** · Mandaluyong · `On-site` 🕒 **Статус:** *Опубликовано: 3 дня назад* · *Источник: Indeed* --- ### About the Role Job Description Gather data from multiple primary and secondary sources, ensuring accuracy and completeness. Perform data cleaning, transformation, and validation to prepare datasets for analysis. Assist in the development and maintenance of databases and data systems. Conduct statistical analysis and data mining to identify trends, patterns, and correlations. Support the development of analysis methodologies and techniques. Interpret data and analyze results using statistical and analytical approaches. Create and maintain regular and ad-hoc reports, dashboards, and visualizations. Present data clearly and effectively using charts, graphs, and tables. Ensure accuracy, clarity, and timeliness of reports delivered to stakeholders. Work with Marketing, Sales, Operations, and other teams to understand data needs. Provide analytical support and communicate findings to technical and non-technical audiences. Actively participate in team meetings and contribute to discussions on data use. Identify and resolve data discrepancies to maintain quality and integrity. Follow established data governance policies and procedures. Document data sources, methodologies, and processes for transparency and consistency. Stay up to date with industry trends, tools, and best practices in analytics. Continuously improve skills in data analysis tools and programming languages. Participate in training and development initiatives. Accurate, reliable, and timely reports and dashboards are consistently delivered to stakeholders. Data is cleaned, validated, and maintained to support high-quality analysis. Insights generated from analysis are used to inform marketing, sales, finance, and operations strategies. Collaboration with cross-functional teams leads to stronger data-driven decision making. Continuous improvements are made to data quality, documentation, and governance practices. Qualifications Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Experience With 3-5 years experience in data analysis, data engineering, or business intelligence roles. Familiarity with SQL and database concepts. Exposure to data visualization tools (e.g., Tableau, Power BI, Superset). Skills and Competencies • Strong analytical and problem-solving skills. Basic programming knowledge in Python or R (preferred). Strong attention to detail and commitment to data accuracy. Ability to work independently and as part of a collaborative team. Preferred Qualifications Knowledge of data warehousing concepts (e.g., Snowflake, BigQuery, Redshift). Experience in industries such as e-commerce, marketing, or finance is a plus. Pay: Php75,000.00 - Php85,000.00 per month Application Question(s): How much is your asking Salary? Education: Bachelor's (Required) Experience: Data analytics: 3 years (Required) ETL: 3 years (Preferred) Python: 2 years (Required) Work Location: Hybrid remote in Mandaluyong
Наблюдалась 2026-09-15, впервые 2026-09-12, найдена на 2 площадках, источник — Indeed.