Lead-Data Analyst (PowerBI)

About FieldAssist

Welcome to FieldAssist, where Innovation meets excellence!! 

We are a top-tier SaaS platform that specializes in optimizing Route-to-Market strategies and enhancing brand relationships within the CPG partner ecosystem. With over 1,00,000 sales users representing over 600+ CPG brands across 10+ countries in South East Asia, the Middle East, and Africa, we reach 10,000 distributors and 7.5 million retail outlets every day. 

FieldAssist is a 'Proud Partner to Great Brands' like Godrej Consumers, Saro Africa, Danone, Tolaram, Haldiram’s, Eureka Forbes, Bisleri, Nilon’s, Borosil, Adani Wilmar, Henkel, Jockey, Emami, Philips, Ching’s and Mamaearth among others.

Do you cravironment where you can excel and enjoy the journey? We have the perfect opportunity for you!!

Job Overview:
We are looking for a Data Analyst with strong expertise in Power BI, ETL processes, and Advanced SQL to join our team. The ideal candidate will be responsible for developing interactive dashboards, optimizing ETL workflows, and analyzing complex datasets to support data-driven decision-making.
Key Responsibilities:
Key Responsibilities: Design and develop interactive dashboards and reports using Power BI to provide business insightsCreate and optimize ETL processes to efficiently extract, transform, and load data from multiple sources.
Write and optimize Advanced SQL queries for data extraction and reporting.
Analyze large datasets to identify trends, patterns, and business opportunities.
Collaborate with stakeholders to understand data requirements and provide actionable insights.

Responsibilities:

1. Collaborate with cross-functional teams to gather data requirements and understand business needs.
2. Develop interactive and intuitive data visualizations using mainly Power BI (2+ years experience)
3. Create data-driven dashboards, reports, and charts to provide meaningful insights to stakeholders.
4. Optimize and streamline data visualization processes to improve efficiency and performance.
5. Conduct data analysis to identify trends, patterns, and opportunities for business growth.
6. Perform data cleansing and validation to ensure accuracy and consistency in the visualizations.
7. Stay up to date with the latest trends in data visualization and implement best practices.

FieldAssist on the Web:

Website: https://www.fieldassist.com/people-philosophy-culture/

Culture Book: https://www.fieldassist.com/fa-culture-book

CEO's Message: https://www.youtube.com/watch?v=bl_tM5E5hcw

LinkedIn: https://www.linkedin.com/company/fieldassist/