Responsibilities : - Gather data from various sources (databases, spreadsheets, APIs, etc. - Identify, clean, and transform data to ensure accuracy, consistency, and integrity. - Develop and maintain data pipelines and processes for efficient data handling. - Conduct exploratory data analysis to identify trends, patterns, correlations, and anomalies. - Apply statistical techniques and data visualization tools to analyze datasets. - Interpret data and provide meaningful insights and recommendations. - Develop and maintain reports, dashboards, and other data visualizations to communicate findings effectively. - Work closely with stakeholders from different departments to understand their data needs and business questions. - Present data findings and insights in a clear and concise manner to both technical and non-technical audiences. - Participate in discussions and contribute to data-driven decision-making processes. - Document data sources, methodologies, and analysis processes. - Utilize data analysis tools and software such as Excel, SQL, and data visualization platforms (i.e. Tableau, Power BI). - Learn and adapt to new data analysis tools and technologies as needed. - May involve basic scripting or programming for data manipulation (i.e. Python). - Identify opportunities to improve data collection, analysis, and reporting processes. - Stay updated on the latest trends and best practices in data analysis. - Contribute to the development of data governance and quality standards. Qualifications - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. - 1-3 years of professional experience in a data analysis role. - Strong understanding of statistical concepts and data analysis techniques. - Proficiency in SQL for querying and manipulating data from databases. - Excellent skills in Microsoft Excel, including advanced formulas and data manipulation techniques. - Experience with at least one data visualization tool such as Tableau, Power BI, or similar. - Ability to interpret data, identify patterns, and draw meaningful conclusions. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills, with the ability to explain technical findings to non-technical audiences. - Strong attention to detail and a commitment to data accuracy. - Ability to work independently and as part of a team. Preferred Skills - Experience with programming languages such as Python (especially libraries like Pandas, NumPy, Matplotlib, Seaborn). - Familiarity with cloud-based data platforms (i.e., AWS, Azure, GCP). - Experience with data warehousing concepts. - Knowledge of statistical software packages (i.e., R, SPSS). - Experience with different data modeling techniques. - Exposure to machine learning concepts. - Experience working with specific industry data (i.e., marketing, sales, finance) Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

We are looking for a skilled and motivated Software QA Engineer to join our team. The role involves ensuring the quality and reliability of software products through comprehensive automated & manual testing. This position requires close collaboration with cross-functional teams to develop and execute test plans, identify and resolve issues, and contribute to improving our testing processes. Responsibilities : - Develop and maintain the roadmap and architecture of test automation and test suites for software products. - Collaborate with development, product, and operations teams to understand requirements and ensure comprehensive test coverage. - Identify, document, and track software defects, working with developers to resolve them. - Continuously improve testing processes and methodologies to enhance product quality and team efficiency. - Manual exploratory testing where automation is not feasible. Requirements : - 3-5 years of experience in software testing and automation. - Proficiency in programming languages such as Java, Python, or JavaScript. - Knowledge of SQL. - Experience with modern test automation tools and frameworks such as Playwright, Cypress, Appium, and BrowserStack. - Knowledge of different types of testing and their scope and characteristics, including smoke tests, API testing, UI testing, and penetration testing - Understanding of the software development life cycle (SDLC) and modern CI/CD practices. - Problem-solving skills and attention to detail. - Strong communication and collaboration skills.

Responsibilities : - Gather data from various sources (databases, spreadsheets, APIs, etc. - Identify, clean, and transform data to ensure accuracy, consistency, and integrity. - Develop and maintain data pipelines and processes for efficient data handling. - Conduct exploratory data analysis to identify trends, patterns, correlations, and anomalies. - Apply statistical techniques and data visualization tools to analyze datasets. - Interpret data and provide meaningful insights and recommendations. - Develop and maintain reports, dashboards, and other data visualizations to communicate findings effectively. - Work closely with stakeholders from different departments to understand their data needs and business questions. - Present data findings and insights in a clear and concise manner to both technical and non-technical audiences. - Participate in discussions and contribute to data-driven decision-making processes. - Document data sources, methodologies, and analysis processes. - Utilize data analysis tools and software such as Excel, SQL, and data visualization platforms (i.e. Tableau, Power BI). - Learn and adapt to new data analysis tools and technologies as needed. - May involve basic scripting or programming for data manipulation (i.e. Python). - Identify opportunities to improve data collection, analysis, and reporting processes. - Stay updated on the latest trends and best practices in data analysis. - Contribute to the development of data governance and quality standards. Qualifications : - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. - 1-3 years of professional experience in a data analysis role. - Strong understanding of statistical concepts and data analysis techniques. - Proficiency in SQL for querying and manipulating data from databases. - Excellent skills in Microsoft Excel, including advanced formulas and data manipulation techniques. - Experience with at least one data visualization tool such as Tableau, Power BI, or similar. - Ability to interpret data, identify patterns, and draw meaningful conclusions. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills, with the ability to explain technical findings to non-technical audiences. - Strong attention to detail and a commitment to data accuracy. - Ability to work independently and as part of a team. Preferred Skills : - Experience with programming languages such as Python (especially libraries like Pandas, NumPy, Matplotlib, Seaborn). - Familiarity with cloud-based data platforms (i.e., AWS, Azure, GCP). - Experience with data warehousing concepts. - Knowledge of statistical software packages (i.e., R, SPSS). - Experience with different data modeling techniques. - Exposure to machine learning concepts. - Experience working with specific industry data (i.e., marketing, sales, finance)

Responsibilities Responsible for building the website of a fintech platform with financial transactions enabled on it. Translate designs and wireframes into high-quality code. Develop new user-facing features using Next.js . Optimize the performance of the website across a vast array of browsers and web-capable devices. Architect and design tech solutions for a delightful user experience. Requirements Strong command of TypeScript, JavaScript, DOM APIs, and modern CSS, including animations. Experience with any popular frontend framework like React, Vue, or Svelte. Good understanding of data fetching, authentication, authorization, validation, caching, and performance optimization in browsers and state machines. Experience with SSR frameworks like NextJS, Nuxt, and SvelteKit. This job was posted by Sumana B from Stable Money. Show more Show less

Responsibilities Architecting Marvels: Designing and implementing scalable, resilient distributed systems that make our platform sing. Coding Ninjutsu: Crafting elegant, efficient code in Go and/or Java that runs like clockwork. Keeping Watch: Hands-on with monitoring and troubleshooting using open-source Observability stackthink Loki, Grafana, and all things metrics. Cloud Whisperer: Leveraging core AWS services to build and maintain robust infrastructure that never sleeps. Pipeline Maestro: Setting up and optimizing CI/CD pipelines to keep our deployment game strong. Mentoring Mastery: Guiding and mentoring junior engineers, sharing your wisdom, and helping them grow into future stars. Requirements At least 6 years of experience. Startup Savvy: Thrived in the fast-paced, dynamic environment of a startup. Fintech Finesse: Familiarity with the unique challenges and regulations of the fintech industry. This job was posted by Sumana B from Stable Money. Show more Show less

Field acquisition manager – Financial opportunity at Stable Money (Kolkata location)! Urgent requirements for FAM (field acquisition manager) Company: Stable Money Location: Kolkata Experience : 1-5 yrs Salary: upto 5 LPA Location - Kolkata Total Vacancy- 6 Office Location - Saltlake Payroll- Netambit FAM Responsibilities : 1. Meet clients - It's a full fledged client interface role. 2. Explain Stable Money USPs and product features. 3. Sales of FDs , Bonds , Credit Cards to the target customers Requirements- 2+ years of experience in Financial Industry. Must have Only CASA & Insurance (field Sales) backgrounded candidate Can Apply Call me to Apply

Having good local market knowledge Should have experience of selling Financial Products to end customers Customer facing role Customer Service and cross selling experience to be there Customer Acquisition to be the key delivery Need the candidate to idenfy channel partners as well Show more Show less

Company: Stable Money Location: Kolkata Experience : 2-3 yrs( casa, insurance sales) Salary- upto 4 LPA FAM Responsibilities : 1. Meet clients - It's a full fledged client interface role. 2. Explain Stable Money USPs and product features. 3. Sales of FDs , Bonds , Credit Cards to the target customers 4. Relationship management with Customers & deepening of the relationship for more wallet share and in the process acquire NTB Customers. 5. Customer Service 6. Identify & Make Channel Partners to sell our Financial services. Requirements : 2+ years of experience in Financial Industry. Must have Stable Money- Interview location 9th Floor, cube 1 & 25, Victoria Park, Block GN, Plot No. 37/2, Sector V, Salt Lake, Kolkata - 700091 contact-9675841623 Hr-Tannu

Company name: Stable money. Designation & salary ( salary will decided on your previous package , only 10-15% will be given hike) Customer support \ Bonds(inbound) - Upto 4.2lpa. Inbound sales - Max Upto 4.2lpa. Mis data analyst - Upto 5lpa. Working hours - 9 hours shift Working days - 6 days and 1 rotational week off. Location - Kudlugate. Experience - No freshers, must be experienced in specific fields such as telesales, customer support, inbound and outbound sales and MIS. Note - Fluent English and Hindi is mandatory