Join Beetexting - Revolutionizing Communication with Cutting-Edge Technology! About the Role: As a Business Analyst, you will play a critical role in ensuring our product meets customer needs and business goals. You will be responsible for gathering requirements, defining user stories, supporting user acceptance testing (UAT), and working closely with developers to ensure proper implementation. Additionally, you will maintain product documentation to ensure internal teams have clear and up-to-date information. Location: Hybrid (USA-based company with teams in the USA and India) Company: Beetexting Key Responsibilities: Requirements Gathering & Documentation Collaborate with Product Managers, Engineers, and Customer Success to define and document product requirements. Write detailed and clear user stories, acceptance criteria, and functional specifications. Maintain and update product documentation for internal and external stakeholders. User Acceptance Testing (UAT) & Quality Assurance Develop test cases based on business requirements and conduct UAT to validate product functionality. Work closely with QA and development teams to track and resolve issues. Ensure features meet business and technical requirements before release. Cross-Functional Collaboration Act as a liaison between Product, Development, and Customer Teams to align business objectives with technical solutions. Communicate and clarify requirements with developers to ensure proper implementation. Work with Product Managers to refine and prioritize product backlog. Process & Documentation Maintenance Continuously update documentation for new features, workflows, and processes. Identify areas for process improvements in how requirements and testing are handled. Required Qualifications: 2-4 years of experience as a Business Analyst, Product Analyst, or similar role in a SaaS or software development environment. Strong understanding of Agile methodologies and experience writing user stories and acceptance criteria. Experience with UAT and ensuring product features align with business requirements. Ability to translate complex business needs into clear, actionable development tasks. Experience in documenting workflows and processes in a clear, visual, and structured manner Excellent written and verbal communication skills, with the ability to collaborate across teams. Proficiency in tools like Jira, Confluence, and Figma (or similar). Why Join Beetexting? We are entrepreneurs. Were resourceful and positive We are innovators. We obsess on helping our customer win. We are visionaries. We think deeply about the industry and think way, way ahead. We are beelievers. We’re humble. We believe in each other and support one another. We are givers. We think of others first. We are intentional. We plan.We are diligent. We measure outcomes and stay focused on the profitable. We are gritty. We execute and we never give up.What We Offer: Competitive compensation and equity packages. The opportunity to shape the future of an innovative SaaS platform in a growing company. A remote-first, flexible work environment with teams in the USA and India. Ongoing professional growth and career advancement opportunities. How to Apply: If youre a highly motivated Business Analyst eager to leverage your skills in requirements gathering, user story development, and process optimization to drive impact in a fast-growing SaaS startup, wed love to hear from you. Please send your resume and a brief cover letter to join@beetexting.com

Role Details: Position: Data Analysis & Reporting Specialist Location: Hyderabad (Hybrid) Role Description: We are seeking a highly motivated and experienced Data Analysis & Reporting Specialist to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining comprehensive reporting solution that provide actionable insights from our diverse data sources. You will leverage your strong analytical skills and deep understanding of data modeling, ETL processes, and database querying to create a reporting solution to serve as a data source for impactful reports and dashboards. A key skill required will be the ability to directly query and analyze MongoDB databases, alongside other relational and non-relational databases. Key Responsibilities: Source Data Analysis: Conduct thorough analysis of source data to understand its structure, quality, and relationships. Identify data inconsistencies and propose solutions for data cleansing and normalization. Document source data models and data dictionaries. Write complex queries to extract and analyze data directly from MongoDB databases. Optimize MongoDB queries for performance. Understand and work with MongoDB data structures and aggregation pipelines.Database Modeling: Design and implement efficient data models for reporting databases, considering performance, scalability, and data integrity. Develop and maintain data warehouses and data marts to support reporting requirements. ETL and Data Pipelines: Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into reporting databases. Build and manage data pipelines to ensure data consistency and accuracy. Troubleshoot and optimize data pipeline performance. Reporting and Visualization: Develop and maintain interactive reports and dashboards using BI tools (e.g., Metabase, Tableau, Power BI). Create ad-hoc reports and analyses to answer business questions. Present findings and recommendations to stakeholders. Database Querying and Optimization: Write complex SQL queries to extract and manipulate data from relational databases. Optimize database queries for performance and efficiency. Understand and implement database indexing strategies. Collaboration and Communication: Collaborate with cross-functional teams to gather reporting requirements and understand business needs. Communicate effectively with technical and non-technical stakeholders. Document reporting processes and procedures. Qualifications: Minimum 3-5 years of experience in database reporting and data analysis. Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Demonstrated experience with MongoDB, including direct querying and data manipulation. Experience with ETL tools and data pipeline development. Solid understanding of data modeling principles and techniques. Experience with BI tools (e.g., Metabase, Tableau, Power BI). Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Familiarity with cloud-based data warehousing solutions (e.g., AWS Redshift, Google BigQuery) is a plus. Experience with scripting languages (e.g., Python, Bash) is a plus. Preferred Skills: Experience with data warehousing concepts and technologies. Knowledge of data governance and data quality best practices. Experience with cloud platforms (AWS, Azure, GCP). Experience with data visualization best practices.