Senior Data Analyst

2 weeks ago

Taguig, National Capital Region, Philippines Pru Life UK Full time ₱1,200,000 - ₱2,400,000 per year

Individual will support our teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for sales and process optimization and using models to test the effectiveness of different courses of action. Individual will utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets to develop data-driven solutions to drive growth and efficiency.

Responsibilities

  • Processing, cleansing, and validating the integrity of data to be used for analysis
  • Assess quality of data and remove or clean data needed for analysis
  • Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
  • Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
  • Leads all data experiments, monitor and report
  • Analyses problems and determines root causes.
  • Building machine learning algorithms. Using tools to select features, create and optimize classifiers
  • Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
  • Propose solutions and strategies to tackle business challenges, drive growth and efficiency
  • Create visualisations of data for reports to management

Qualifications

  • ·Bachelor's degree in operations research, Applied Mathematics, Statistics, or related fields · Master's degree in related fields would be given preference.
  • 6+ years of professional experience
  • Demonstrated experience applying data science methods to real-world data problems. · Strong mathematical & numeracy skills
  • Knowledge of reporting and visualization tools such as Business Objects, PowerBi and Tableau.
  • Understanding of website scripts such as XML, Javascript, JSON
  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL.
  • Machine Learning – Advanced knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests but not limited to this

Join a team who is always asking: what can we do better?

We break down silos to improve our execution-focused approach, so we can use our advantage of scale, discover fresh perspectives, and new modalities of growth.

Prudential is an equal opportunity employer.
We provide opportunities for people regardless of their gender, ethnicity, disability status, age, religion, caring responsibilities or sexual orientation. A diversity of skillsets and backgrounds enriches the organisation. Prudential believes that diversity of experience, thought and background is vital to success, both today and in the future.

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