Job description**Responsibilities**:- Liaising with departments to obtain data, including production figures and costs, sales figures, as well as product supply and demand data.- Instructing departments on data submission requirements, including frequency and format.- Creating and maintaining databases using statistical software programs, such as SPSS, SAS, or Stata.- Ensuring data integrity by performing rigorous cleaning, error checking, and validation.- Analyzing data using statistical techniques, formulas, and calculations.- Performing statistical tests to determine the reliability and soundness of results.- Contributing to strategic planning by identifying industry trends and preparing forecasts.- Describing, interpreting, and summarizing conclusions.- Presenting statistical findings to management in reports that include executive summaries, charts, tables, and graphs.- Documenting processes and keeping informed of technological advancements in the field of statistical analysis.Statistician Requirements:- Bachelor's degree in statistics, data science, mathematics, or equivalent.*- 1 year of experience working as a statistician, or in a similar role.- Proficiency in statistical software programs, including SPSS and R, or equivalent.- Advanced knowledge of statistical methods, techniques, formulas, and tests.- Exceptional ability to interpret data and analyze trends, as well as preparing industry outlooks and forecasts.- Advanced business operation and industry knowledge.- Ability to liaise with other departments to coordinate data gathering.- Extensive experience in summarizing and presenting findings in reports.- Keen attention to detail and excellent recordkeeping skills.**Benefits**:- Company events- Health insurance- On-site parking- Opportunities for promotionSchedule:- 8 hour shift- Day shift- Monday to FridaySupplemental pay types:- 13th month salaryAbility to commute/relocate:- Las Piñas: Reliably commute or planning to relocate before starting work (required)**Education**:- Bachelor's (preferred)**Experience**:- Data analysis skills: 1 year (preferred)