Skip to main content

Data Analyst Job at Acemoney · Kochi, Kerala, India

Data Analyst at Acemoney · Kochi, Kerala, India




Company Description


Acemoney is a trusted fintech brand developed and promoted by Aceware Fintech Services Pvt Ltd. We offer a wide range of fintech products that cover digital banking and payment needs. Our products aim to financially include the underbanked, with a specific focus on the rural population. Acemoney reaches out to 1.5 Million end users through various channels and provides solutions such as UPI/QR, POS devices, Micro ATMs, DMT, bill payments, and more. We are also pioneers in launching wearable payment devices in India, including luxury accessories like rings, key chains, and bands.


Role Description


This is a full-time on-site role for a Data Analyst at Acemoney. The Data Analyst will be responsible for analyzing and interpreting data, conducting statistical analysis, and creating data models. They will also be responsible for effective communication of findings and insights to stakeholders. The role involves working closely with the B2B, B2C, and B2G verticals of Acemoney to develop and deliver data-driven payment solutions.


Qualifications


  • Analytical Skills, Data Analytics, and Statistics.
  • Excellent communication skills.
  • Data modeling and visualization skills.
  • Experience in financial or payment industry.
  • Proficiency in data analysis tools and techniques.
  • Strong problem-solving abilities.
  • Bachelor's degree in data Analytics, Statistics, Computer Science, or related field.

Comments

Popular posts from this blog

Free Udemy Course for PowerBI

Free Udemy Course for PowerBI Get This Course for Free. Create beautiful dashboards instead of boring spreadsheets and slides. Make an involving presentation based on an interactive visual story. Create visualizations without programming skills. Learn some interesting tips for simply working with Power BI. Get this course for free. Basic Data Connection: Students will learn how to connect Power BI to simple data sources, gaining an understanding of basic data import techniques. Introductory Data Cleaning: Learners will be introduced to the Power Query Editor for basic data cleaning tasks, such as removing duplicates and filtering data. Fundamentals of Data Modeling: Participants will learn the basics of creating data models in Power BI, including simple relationships between tables. Basic DAX Formulas and Visualizations: Students will acquire foundational skills in writing simple DAX formulas and creating basic reports. Understanding the overall life cycle of building a Power BI Report

PowerBI Course Under $5.

PowerBI Course Under $5. PowerBI Course. What is PowerBI ? Power BI is a robust business analytics tool from Microsoft, crafted to convert raw data into compelling, interactive insights. It boasts an array of features such as data connectivity, preparation, modeling, visualization, and collaboration tools. Power BI empowers users to craft interactive dashboards, reports, and visualizations, enabling quick and effective business insights. Use of PowerBI - The value of Power BI stems from its capacity to make data analytics accessible, allowing individuals at every organizational level to base decisions on data. Its intuitive interface and accessible tools help organizations reveal patterns, trends, and connections in their data, fostering better decision-making, operational efficiency, and superior business results. Additionally, Power BI's compatibility with other Microsoft offerings and cloud services renders it an essential asset for businesses aiming to remain competitive in the

Importing Data into Power BI: Best Practices and Tips

Importing Data into Power BI: Best Practices and Tips Join My PowerBI Group. Importing data into Power BI is a crucial step in creating reports and dashboards. Here are some best practices and tips to enhance the process: Understand Your Data Sources: Get familiar with the structure, format, and quality of your data sources. Comprehend the relationships between different data tables and the business context of the data. Data Preparation: Clean and preprocess your data before importing it into Power BI. This includes removing duplicates, addressing missing values, standardizing formats, and converting data types. Use Direct Query When Appropriate: For large or frequently updated datasets that may surpass Power BI's data model size limits, consider using Direct Query mode. This mode enables real-time queries to the data source, ensuring reports are current. Optimize Query Performance: Improve data retrieval queries to reduce load times and enhance performance. Employ efficient SQ