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.

Labels:

Comments

Post a Comment

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...
Post a Comment
Read more

Is Web Scraping Illegal and How Can We Do It?

Is Web Scraping Illegal and How Can We Do It? Web Scraping Course. Web scraping is not illegal by default, but its legality hinges on the method employed and adherence to applicable laws and website terms of service.  Below is a summary of legal considerations and guidelines for responsible web scraping: Legal Considerations: Terms of Service (ToS): Website ToS dictate the permissible use of their content. Some explicitly forbid web scraping, and violation of these terms could lead to legal repercussions. Copyright Law: Website content is often under copyright protection. While raw data and facts are not copyrightable, their creative presentation might be. Unauthorized scraping of significant amounts of such content could constitute copyright infringement. Computer Fraud and Abuse Act (CFAA): In the U.S., the CFAA outlaws unauthorized computer and system access. Scraping in contravention of website ToS may breach this act. Data Protection Laws: Web scraping may fall under data ...
Post a Comment
Read more

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics Azure Data Lake and Power BI provide a powerful combination for businesses to handle and analyze large datasets efficiently. Here’s a step-by-step breakdown of how connecting Power BI to Azure Data Lake helps streamline big data analytics. 1. What is Azure Data Lake? Azure Data Lake is a cloud-based storage solution designed to handle large volumes of structured and unstructured data. It provides highly scalable and cost-effective storage, making it an ideal choice for big data projects, data lakes, and large-scale analytics. 2. Benefits of Connecting Power BI to Azure Data Lake Handling Large Datasets : Power BI’s integration with Azure Data Lake allows users to work with large datasets without needing to import all the data into Power BI. Instead, users can connect and query data directly. Scalable Analytics : Azure Data Lake’s ability to scale horizontally ensures that it can handle growing volumes of data se...
Post a Comment
Read more