Senior Data Analyst

***Note: This position is open to applicants based in the Philippines only.

Available Schedules

• :Night Shift: 1:00 AM 10:00 AM (Tuesdays to Saturdays
• )Early Shift: 3:00 AM 12:00 PM (Tuesdays to Saturdays
• )Regular Shift: 8:00 AM 5:00 PM (Mondays to Fridays

)
Job Scop

e:The Senior Data Analyst is a key contributor in delivering advanced analytics and automation solutions for both internal operations and external client-facing projects. This role combines deep analytical skills, statistical expertise, and AI knowledge to generate actionable insights, streamline business processes, and support strategic decision-making across diverse client engagements. The analyst also serves as the organization's advanced Excel expert, focusing on streamlining and automating repetitive Excel tasks while strategically augmenting Excel capabilities with modern technologies such as Python and BI tools. The analyst collaborates closely with cross-functional teams and external clients, develops intelligent models with strong emphasis on data governance and quality, and acts as a subject matter expert in integrating AI and machine learning into analytics ecosystems while ensuring data privacy and compliance with regulatory requirement

s.
Key Responsibiliti

es:
Excel Excellence & Automa

• tionServe as the organization's advanced Excel expert, designing and implementing Excel solutions for complex business prob
• lemsStreamline and automate repetitive Excel tasks through advanced formulas, macros, VBA programming, and Power Query implementat
• ionsStrategically augment Excel capabilities by integrating Python scripts, Power BI connections, and other modern technologies where applic
• ableDevelop Excel templates, models, and automated workflows that enhance productivity and reduce manual effort across client proj

ects
Client Engagement & Analytics Del

• iveryLead complex data analysis projects for external clients, translating business requirements into comprehensive analytical solutions combining Excel expertise with advanced anal
• yticsAnalyze complex datasets from multiple sources to identify trends, patterns, and opportunities using statistical techniques, AI/ML algorithms, and advanced Excel mod
• elingDesign, develop, and implement predictive and prescriptive models using Excel, Python, and other analytical tools to support strategic client initia
• tivesCollaborate directly with external clients to understand their Excel-based workflows and recommend optimizations through automation and technology integr

ation
Data Governance & Quality Ass

• uranceEstablish and maintain comprehensive data dictionaries and data glossaries for both client projects and internal systems to ensure consistent data understanding across
• teamsImplement data quality frameworks and monitoring processes to ensure accuracy, completeness, and reliability of analytical o
• utputsEnforce data privacy protocols and governance standards to protect sensitive client data and ensure regulatory comp
• lianceDocument analytical methodologies, data sources, and business logic for knowledge transfer and audit pu

rposes
Technology Integration & Inn

• ovationEvaluate and integrate AI technologies (e.g., natural language processing for automating invoice and expense categorization, computer vision for document processing and validation, machine learning for anomaly detection, risk scoring, and financial forecasting, and recommendation systems for client advisory insights) into existing data wo
• rkflowsStrategically migrate Excel-based processes to more scalable solutions using Python, BI tools, or cloud platforms when appr
• opriateBuild dashboards, visualizations, and automated reporting tools to communicate findings and drive data-driven decision
• -makingStay current with emerging analytics technologies and AI/ML developments to bring innovative applications that improve business o

utcomes
Qualifi

• cations:Bachelor's degree in Physics, Engineering, Statistics, Mathematics, Computer Science, Business Analytics, Finance, Accounting, or a relat
• ed fieldAt least 3 years of experience in data analytics, business intelligence, or similar field with demonstrated Excel e
• xpertiseProven track record as an advanced Excel power user with experience in VBA, Power Query, Power Pivot, and complex
• modelingStrong business acumen with experience working in cross-functional teams and directly with external
• clientsDemonstrated track record in driving business impact through analytics, insights, and Excel automation s
• olutionsExcellent communication skills, both verbal and written, with the ability to present technical Excel solutions and analytics to non-technical stak
• eholdersExperience with data privacy regulations and governance frameworks when handling sensitive cli
• ent dataAccounting, finance, or business process optimization background i

s a plus
Technical and Othe

r Skills:
Excel Mastery &

• AutomationAdvanced proficiency in Microsoft Excel including advanced formulas, pivot tables, Power Query, Power Pivot, and data modeling ca
• pabilitiesAdvanced VBA programming skills for creating automated solutions, custom functions, and comp
• lex macrosExperience integrating Excel with external data sources, APIs, and databases for automated data refresh and
• processingKnowledge of Excel's integration capabilities with Python (xlwings, openpyxl) and other programming

languages
Analytics &

• ProgrammingWorking knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts, with experience applying them to enhance Excel-based analysis, forecasting, and business deci
• sion-makingProficient in SQL for data extraction and transformation; advanced working knowledge of Python for statistical analysis and Excel
• automationExperience with Python libraries for Excel automation and data processing (pandas, xlwings
• , openpyxl)Strong grasp of statistical techniques including forecasting, regression, and A/B testing within Excel and compleme

ntary tools
Business Intelligence & Da

• ta PlatformsSkilled in data visualization tools such as Power BI, Tableau, or Looker for creating interactive dashboards that complement Excel-bas
• ed solutionsUnderstanding of CRM/ERP systems (e.g., QuickBooks, Xero, NetSuite, SAP) and how to integrate them with Excel for comprehensi
• ve analyticsFamiliarity with cloud-based data platforms (e.g., Snowflake, Databricks, BigQuery, AWS Redshift) and their integration with Exc
• el workflowsExperience with data warehouses, ETL processes, and tools for data cleaning and transformation that feed into

Excel models
Collaboration

• & ProcessUnderstanding of data governance frameworks, data privacy regulations (GDPR, CCPA), and security best practices for handling sensitive client data in Excel
• environmentsExposure to Agile/Scrum practices and project collab
• oration toolsExperience documenting Excel solutions, creating user guides, and training others on automated Ex