We are seeking a detail-oriented and analytical Functional Tester to join our QA team. The successful candidate will be responsible for testing software manually to identify bugs, usability issues, and ensure product quality before release. You will collaborate with developers, product managers, and other QA team members to ensure the final product meets customer expectations and business requirements. Understand and analyse business, functional, and technical requirements .Design, develop, and execute detailed test cases and test scenarios .Perform functional, integration, regression, and system testing manually .Identify, document, and track bugs using issue tracking tools like JIRA, Redmine, etc .Participate in requirement reviews, design reviews, and QA status meetings .Work closely with the development team to reproduce and resolve issues .Prepare and maintain test documentation such as test plans, test scripts, and test reports .Ensure testing is completed on time and meets the defined quality standards .Provide feedback and suggestions to improve software usability and performance . Knowledge of databases and ability to write basic SQL querie s.Experience testing mobile or web-based application s. Requireme nts1+ years of experience in Functional testi ng.Experience with bug tracking tools (e.g., JIRA, Redmin e).Excellent verbal and written communication skil ls.

Job Title: Junior Data Analyst Department: Analytics Experience Required: 2–3 Years Location: Hyderabad Work Mode: Work from Office Employment Type: Full-time About The Role We are seeking a motivated and intellectually curious Junior Analyst to join our growing Data & Analytics team. This role is ideal for professionals with a strong foundation in data analysis, business intelligence, and critical thinking. You will be responsible for interpreting data, generating insights, and supporting strategic initiatives across various business units. As a Junior Analyst, you will collaborate with internal stakeholders to understand business requirements, work with large datasets, build dashboards, and deliver actionable insights that inform business decisions. Key Responsibilities Data Extraction & Transformation: Design, write, and maintain efficient SQL queries to extract, clean, and prepare data from various sources for analysis and reporting purposes. Reporting & Dashboarding: Develop, automate, and maintain interactive reports and dashboards using Excel, Tableau, or other BI tools to monitor KPIs and performance metrics. Data Analysis: Apply statistical and analytical techniques to identify trends, detect anomalies, and provide recommendations based on data-driven evidence. Stakeholder Collaboration: Work closely with cross-functional teams (Product, Operations, Finance, Marketing, etc.) to gather business requirements, translate them into analytical deliverables, and present insights in a meaningful format. Data Quality & Governance: Support data validation, cleansing, and monitoring activities to ensure high data integrity and reliability. Communication & Documentation: Clearly document methodologies, assumptions, and results. Communicate findings to both technical and non-technical audiences through reports, visualizations, and presentations. Required Qualifications & Skills Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field. 2–3 years of hands-on experience in data analytics or business intelligence roles. Strong analytical thinking and logical reasoning with a proven ability to work with complex datasets. Proficiency in SQL and experience working with ETL processes. Solid working knowledge of Excel, and familiarity with data visualization tools such as Tableau, Power BI, or similar platforms. Excellent written and verbal communication skills – able to convey technical information to non-technical audiences. High attention to detail, and the ability to manage multiple priorities and deadlines. Preferred/Bonus Skills Exposure to scripting languages like Python or R for data analysis. Experience with cloud platforms and tools (e.g., AWS, Snowflake, Google BigQuery) is a plus. Prior experience in the financial services or fintech domain is advantageous. Understanding of data modeling and warehousing concepts. What We Offer A collaborative, inclusive, and intellectually stimulating work environment. Opportunities for learning and growth through hands-on projects and mentorship. A chance to work with data that drives real business impact.