Data Analyst - Senior

Executive & Leadership Reporting •Synthesize complex performance datasets into high-impact, visual, and narrative-driven reports for leadership and executive-level business updates (e.g., CEO updates and strategic reviews). •Translate analytical findings into concise executive takeaways, ensuring executive communications clearly explain the past performance, present status, and future outlook. •Deliver regular monthly and quarterly performance updates, highlighting competitive risks, commercial opportunities, and customer journey trends. Strategic & Forecasting Support •Partner with forecasting, strategy, finance, and marketing functions to model commercial funnels, market demand shifts, and historical volume trends. •Apply statistical techniques and behavioural segmentation models to track, isolate, and forecast changes in specific customer cohorts and industry verticals. •Conduct rapid-response, ad-hoc deep dives to answer critical, time-sensitive business questions posed by leadership. •Provide data backing and baseline historical trends to support annual commercial strategic planning and commercial goal setting. What We’re Looking For Experience & Background •6-10 years of experience in data analytics, business intelligence, sales analytics, or financial/commercial measurement roles. •Proven experience querying large-scale, complex relational databases to extract commercial, transactional, and customer-level insights. •Demonstrated track record of preparing executive-calibre presentations, briefs, and reports based on complex data analysis. •Experience collaborating with cross-functional, global stakeholders across various time zones.

Core Competencies •Executive Storytelling & Visualization: The ability to translate numbers into a cohesive, executive-ready story that leaders can grasp and act on instantly. •Statistical Thinking & Pattern Discovery: Strong capability to utilize business statistics (e.g., correlation, significance testing, regression, trend analysis) to robustly identify patterns, validate data anomalies, and extract high-integrity insights from raw corporate data. •Analytical Rigor & Structured Problem Solving: High attention to data accuracy, methodological soundness, and the ability to formulate logical business hypotheses. •Agility & Proactiveness: Comfortable working in a fast-paced environment, managing competing priorities, and delivering quick-turnaround ad-hoc analyses.

Professional Expertise & Technical Skills

Analytics & BI: High proficiency in SQL (required) and experience working with cloud data warehouses (e.g., Snowflake, Teradata, or BigQuery).

Applied Business Statistics: Practical knowledge of statistical methods to perform cohort analysis, customer segmentation, and behavioural pattern recognition to discover performance anomalies.

Business AI & Machine Learning Application: Understanding of how to leverage predictive models, clustering algorithms (e.g., for cohort refinement), and NLP/text mining to automate industry vertical tracking, spot micro-trends, and optimize customer group definitions.

Data Visualization: Proficiency in building dashboards in Power BI or similar BI tools

Programming & Automation: Comfortable using Python or R for statistical modelling, data manipulation, and analytical process automation is a must.

Productivity & Reporting: Expert-level skills in MS Excel (advanced formulas, pivot tables) and PowerPoint (to draft polished, executive-ready presentations).

Sector Familiarity: Prior experience analysing commercial performance within B2B verticals (e.g., Retail/E-commerce, Healthcare & Life Sciences, Industrial, Technology) is highly valued. •Exposure to CRM/sales enablement tools (e.g., Salesforce) Certifications (nice to have) •CFA, FRM, PMP, Six Sigma (or equivalent).