Senior Analyst

We are looking for a Data & Business Intelligence Analyst with strong SQL, Excel, and BI skills to analyze complex datasets, ensure data quality, and generate actionable business insights. The role involves developing analytical models, optimizing dashboards and queries, automating reporting processes, and leveraging AI tools to deliver repeatable, data-driven insights.

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Job requirements

We are looking for a Data & Business Intelligence Analyst with strong analytical, SQL, Excel, and BI skills to support data quality management, business analytics, and AI-driven insights. The candidate will work with large and complex datasets, ensure accurate data flow from Point of Sale (POS) systems to data warehouses, develop analytical models, and support dashboard optimization.

The role involves leveraging AI tools to generate actionable business insights, automating repetitive analytics processes, and collaborating with Data Engineering, Product, Customer Success, and Business teams to improve data-driven decision-making.

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Key Skills

1. Data Management & Quality

Ensure accurate data flow from POS systems to data warehouses by validating data quality, maintaining datasets, and resolving data discrepancies.
Perform weekly quality assurance checks to ensure data accuracy, completeness, and consistency.
Validate and maintain location, product, and item-level attributes using defined data templates.
Monitor data feeds, identify anomalies, and coordinate with Data Engineering teams to resolve issues.
Identify opportunities to improve data processes, introduce new data sources, and automate data validation.

2. Business Analytics & Insights

Analyze large and complex datasets to generate actionable business insights and support client decision-making.
Perform pricing analysis, sales forecasting, marketing attribution, media performance analysis, menu engineering, loyalty analysis, and promotional effectiveness analysis.
Develop and maintain financial and analytical models to evaluate business initiatives, track performance metrics, and identify improvement opportunities.
Translate business requirements into analytical frameworks, metrics, and recommendations.
Support client-specific analytical requests and provide data-backed recommendations.

3. BI Reporting & Dashboard Optimization

Support the development and enhancement of BI dashboards and reporting solutions.
Define business metrics, formulas, KPIs, and analytical frameworks to simplify data access for Customer Success teams.
Identify and troubleshoot performance issues in BI dashboards and reporting solutions.
Optimize SQL queries and data models to improve reporting efficiency and performance.

4. AI Analytics & Automation

Use the organization's AI-powered analytics solution to analyze client data and generate meaningful insights.
Develop repeatable AI-driven analytical workflows to improve consistency and speed of delivery.
Apply prompt engineering techniques to improve the quality and reliability of AI-generated analyses.
Document effective prompts, analytical approaches, and reusable insights in a shared knowledge library.
Identify opportunities to automate manual analytical activities and operationalize AI-driven processes.

5. Documentation, Training & Collaboration

Document data models, analytical methodologies, business rules, and report specifications.
Provide training and support to end-users on BI dashboards, reports, and analytical tools.
Collaborate with Data Engineering, Product, Customer Success, and Business stakeholders to align analytics with business needs.
Present analytical findings, conduct demonstrations, and communicate technical concepts to non-technical stakeholders.
Incorporate stakeholder feedback to continuously improve reporting and analytical solutions.

6. Continuous Learning & Innovation

Stay updated on developments in AI, large language models (LLMs), prompt engineering, and decision intelligence.
Recommend and test improvements to analytical frameworks, tools, and workflows.
Contribute to innovation initiatives and knowledge sharing in business intelligence and decision analytics.

Required Skills & Qualifications

Strong analytical thinking, critical reasoning, and problem-solving skills.
Proficiency in SQL, including querying, joins, aggregations, and working with complex datasets.
Strong Excel skills for data analysis, validation, and reporting.
Hands-on experience with BI and dashboarding tools such as Power BI, Tableau, or similar platforms.
Ability to work with messy, incomplete, and inconsistent datasets.
Understanding of data quality, data modeling, KPI development, and business reporting.
Interest or experience in AI-powered analytics, prompt engineering, and process automation.
Excellent communication skills and the ability to translate analytical findings into actionable business insights.
Flexibility to work during US business hours when required.

Preferred Qualifications

Experience in restaurant, retail, or consumer business analytics.
Knowledge of pricing strategies, menu engineering, loyalty programs, promotions, sales forecasting, or marketing attribution.
Exposure to POS systems, data warehouses, and data integration processes.
Familiarity with Python or other scripting tools for analytics automation.
Experience using AI tools or LLMs to analyze data and build repeatable analytical workflows.

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Benefits

Cross - Skilling and Growth opportunities.