Senior Data Analyst WFH

Our brand, Lennor Metier Consulting, a DOLE-licensed headhunting and recruitment agency in the Philippines, is proud to partner with a local start up in finance and credit-risk focusing on the education sector in their search for a Senior Data Analyst.

Salary Range: up to ₱180,000

Work Setup: Remote

Shift Schedule: Day Shift, 9:00 am - 6:00 pm

Location: Makati

The Role

The Senior Data Analyst will play a critical role in driving the organization’s data-driven decision-making by applying advanced analytical methods across descriptive, diagnostic, and inferential analytics. This position requires not only technical expertise in statistical analysis and hypothesis testing but also the ability to synthesize insights that guide strategy, operational improvements, and product development.

Beyond individual analysis, the Senior Data Analyst will oversee the day-to-day work of the data analytics team, ensuring quality, consistency, and timeliness of outputs. The role will also serve as a key collaborator with engineering to align data infrastructure with analytics requirements, while maintaining clear documentation and supporting algorithm development efforts to strengthen the company’s core models.

Your Responsibilities

• Perform advanced data analyses, including (a) descriptive analytics to summarize historical data, (b) diagnostic analytics to investigate drivers, correlations, and causes, and (c) inferential analytics to test hypotheses and assess statistical significance
• Supervise and guide Data Analysts and junior team members in daily operations
• Support algorithm development by providing rigorous statistical analysis and validation
• Ensure data reports, dashboards, and outputs are delivered with high quality and within deadlines
• Maintain, update, and create documentation of analytics processes to ensure business continuity
• Collaborate with the engineering team to align infrastructure builds, pipelines, and maintenance with analytics needs
  
  

• Graduate of any course related to business management and/or statistics/mathematics. An advanced degree or certification such as FRM or CRM is highly desirable. The degree should reflect a strong math background
• At least eight (8) years of relevant data analysis experience, preferably the financial industry.
• Experience in working with a lending company and in credit risk for consumer loans / personal loans is highly desirable.
• Strong experience and understanding of finance, banking business, and handling consumer (Retail, MSME) lending (secured and unsecured) credit risk and portfolio management
• Experience and/ familiarity with data and statistical software/tools – i.e., SAS, SQL, R Studio, Python, and the like
• A credit risk background is highly preferred
  
  

• Statistical modeling (hypothesis testing, regression, correlation, ANOVA, time-series analysis)
• Experimental design & inferential statistics (A/B testing, sampling methods)
• Data storytelling and visualization best practices
• SQL (advanced querying, optimization, joins, window functions)
• Python (pandas, NumPy, SciPy, statsmodels, scikit-learn for light ML)
• R (optional, but valued for advanced statistical analysis)
• BI/dashboarding tools: Power BI, Tableau, Looker, or equivalent
• Advanced Excel/Google Sheets (pivot tables, complex formulas, VBA/macros a plus)
• Data storytelling frameworks (e.g., crafting executive-level decks from analysis)
• Experience with relational databases (MySQL, PostgreSQL, MS SQL Server, Oracle)
• Familiarity with data warehouses (BigQuery, Snowflake, Redshift)
• Knowledge of data pipelines/ETL processes (Airflow, dbt, or equivalent)
• Comfortable working with APIs for data extraction/integration
• Git/GitHub or GitLab for versioning analytics scripts
• Jupyter Notebooks or R Markdown for reproducible analysis
• Confluence/Notion/Google Docs for process documentation
• Familiarity with naming conventions, data quality rules, and metadata
• Familiarity with documentation best practices (updating data dictionaries, documenting business rules and mappings, etc)
  
  

• We kindly request your patience as we receive a significant number of applications. Rest assured that our team will update your applications status soon. In the meantime, we encourage you to follow our LinkedIn page to stay informed about future opportunities and company updates.