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About the role
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Role : Data Analyst
Location : Bangalore
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.
An Engineering company operates within the technology industry, focusing on combining innovation and growth in a dynamic environment.
WHAT YOU'LL DO
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.
WHAT WE'RE LOOKING FOR
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.
WHY JOIN
Work in an innovative environment that values data-driven insights over mere strategic approaches.
Engage in cross-functional work that spans Product, Business, and SCM/Credit domains.
Enjoy the freedom to explore and independently resolve data challenges without being restricted by predefined reports.
Be a pivotal part of an analytical team that contributes significantly to the company’s strategic objectives.
Join a culture that supports professional development and encourages knowledge sharing.
Work arrangement
No
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