1 - 5 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

You are a detail-oriented and skilled Junior Data Analyst who will be an integral part of our dynamic team. Your primary responsibility will be creating Management Information (MI) Dashboards to drive intelligence and insights throughout the organization. The ideal candidate for this role should have extensive experience in using Power BI and Microsoft Fabric, and excel in a demanding, data-led environment. Additionally, you should possess a strong understanding of Master Data Management & Data Science methodologies and know how to apply them effectively within the organization. Your key accountabilities will include supporting the development of Management Information Dashboards by designing, developing, and maintaining interactive MI Dashboards using Power BI with guidance. You will also assist in data analysis and reporting to identify trends and insights that contribute to business decisions, using basic statistical techniques and tools to generate reports and dashboards. Furthermore, you will provide Business Intelligence Support by leveraging data to aid business intelligence initiatives and data-driven decision-making. This includes implementing BI frameworks and improving data accessibility across teams. Collaboration is essential in this role, as you will work closely with team members and stakeholders to understand data requirements and support the delivery of data solutions. Your participation in training sessions will enhance data literacy within the organization. Data preparation and SQL tasks will be part of your responsibilities, including data cleaning, validation, and basic data engineering using SQL under supervision. You will assist in automating data extraction and transformation processes and maintaining API connections for integrating data sources into dashboards and data systems. Adherence to standards is crucial, so you must follow established procedures to maintain accuracy and consistency in all data-related tasks. This involves supporting data governance and compliance with best practices. Continuous learning and improvement are encouraged, as you should identify areas for personal and process improvement, stay updated on basic data analysis techniques, and BI tools to grow your skills and contribute to innovation. Moreover, you will support Data Quality Management by following and improving data quality assurance processes to maintain accuracy and reliability of data used in reporting and analysis. This includes assisting in routine data quality checks, audits, data cleansing, and validation tasks to ensure reliable datasets for analysis. You will also monitor data quality metrics and report on data quality indicators while communicating data issues to relevant teams for resolution. In addition, you will provide Master Data Management (MDM) Support by ensuring master data accuracy and consistency across the organization. You will assist in implementing and following MDM policies and procedures, monitoring master data quality, supporting data governance initiatives, and collaborating with IT and business teams for master data integration. Preparation of user guides, providing basic training/support on MDM tools, and processes will also be part of your responsibilities. Your focus on learning Data Science Methodologies will involve gaining exposure to machine learning concepts, basic statistical analysis, data visualization, and familiarity with big data tools. You will stay updated on data science trends and assist in applying new techniques as part of continuous learning and team projects. Essential skills and experience for this role include basic to intermediate proficiency in Power BI or similar BI tools, familiarity with SQL and APIs, willingness to learn and develop these skills further, exposure to data warehousing concepts or tools like Azure Data Factory (advantageous but not mandatory). You should have a foundational understanding of data cleaning, transformation, preparation, data modeling, database concepts, data quality concepts, Excel skills including Pivot Tables and Power Query, and the ability to perform basic data analysis and automate simple tasks within Excel.,

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