Data Analyst

About the Role

Join an Engineering company as a Data Analyst, where you will be part of a dynamic team committed to driving insights that influence business strategy. This role offers the opportunity to work on impactful projects within Supply Chain Management and Credit, contributing to high-level decision-making. You will thrive in an environment that prioritizes data-driven methods and celebrates innovation, while also supporting your professional growth.

Responsibilities

• Analyze extensive and intricate datasets to discern trends, patterns, potential opportunities, and associated business risks.
• Collaborate with Product, Business, SCM, and Credit teams to address data-centric business challenges.
• Create and sustain dashboards, reports, and analytical tools utilizing various BI tools.
• Construct and enhance advanced SQL queries for data extraction, transformation, analysis, and reporting purposes.
• Conduct exploratory and ad-hoc analyses to aid in business and product decision-making.
• Translate business needs into analytical frameworks and offer data-driven recommendations.
• Monitor key business and product metrics, identifying variances and opportunities for enhancement.
• Assist in decision-making processes through quantitative analysis and structured problem resolution.

Requirements

• 2–3 years of practical experience in Data Analytics, Business Analytics, Decision Science, or a comparable analytical function.
• Graduated in 2023 or 2024 with a strong academic background.
• A solid foundation in Decision Science, Business Analytics, Statistics, Economics, Mathematics, Engineering, or a related quantitative field.
• Proficiency in SQL, including complex queries, joins, subqueries, and analytical functions.
• Familiarity with any BI or Data Visualization tool such as Tableau, Power BI, or Looker.
• Demonstrated analytical and problem-solving abilities with a focus on data-driven methodologies.
• Strong capabilities to transform business requirements into analytical solutions.
• Excellent communication skills to articulate insights and recommendations to both technical and non-technical audiences.

Nice to Have

• +Familiarity with Python for data analysis or automation tasks.
• +Experience with AI or GenAI tools for enhancing analytics and productivity.
• +Prior knowledge of working within SCM, Credit, Lending, FinTech, or similar sectors.
• +Exposure to environments like startups or fast-paced product teams.
• +Experience with A/B testing, forecasting, and statistical methodologies.