Senior Data Analyst Female 12th Pass Jobs in Bangalore

About KenverseKenverse is a leading technology company building transformative SaaS solutions for the enterprise and education sectors. We are seeking a versatile expert to drive data insights and seamless system connectivity.The RoleWe are hiring a Senior Analyst/Consultant to join our team in one of three locations. This role is a specialized blend of analytics and integration, critical to our data strategy.Detail SpecificationExperience: 3 to 7 YearsCompensation: Up to 35 Lakhs per annumLocation: Kolkata, Bangalore, CoimbatoreWork Mode: Work from Office (WFO)Education: BCA, BBA, BSc, B.Tech/BE (Any Field)Key Skills RequiredYou must have hands-on, proven expertise in all three areas:1. Tableau Development: Designing and optimizing high-impact data visualization dashboards and reports.2. CRM Analytics Expert: Analyzing customer data, performing segmentation, and driving insights for sales/marketing strategies.3. MuleSoft: Developing and deploying API-led integration solutions using the Anypoint Platform to ensure robust system connectivity.How to ApplyInterested candidates, please send your resume immediately.WhatsApp: 8013914799LinkedIn: Send your resume via my inbox.

Data AnalystJob Summary:We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to support business decision-making and strategy. You will work closely with cross-functional teams to turn data into critical information and insights that drive business results.---Key Responsibilities:Collect, clean, and interpret data from multiple sources.Analyze large datasets to identify trends, patterns, and insights.Create dashboards, visualizations, and reports to present data clearly and effectively.Collaborate with stakeholders to understand business goals and data needs.Develop and maintain databases and data systems reorganizing data as needed.Use statistical tools to identify, analyze, and interpret patterns and trends.Monitor key performance indicators (KPIs) and provide actionable insights.Assist in forecasting and predictive modeling using data analytics tools.Ensure data integrity and security.---Requirements:Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.Proven experience as a Data Analyst or similar role.Proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).Knowledge of statistical packages (e.g., R, Python, SAS) is a plus.Strong analytical and problem-solving skills.Excellent communication and presentation skills.Ability to work independently and collaboratively in a team environment.---Preferred Skills:Experience with big data platforms (e.g., Hadoop, Spark) is an advantage.Familiarity with data warehousing and ETL processes.Understanding of machine learning algorithms (optional but beneficial).

Job Description:Tertiary qualifications in a relevant discipline and industry accreditations, where necessary.Experience as a data analyst, ideally within a highly regulated related industryDemonstrated evidence of technical proficiency with IT :systems, software, databases, reporting, communication end analytical tools.Experience with writing &understanding SQL and related queries.Experience in Operational Improvement systems methodology and delivery.Knowldege of business reporting frameworksDemonstrated ability to partner and collaborate effectively with stakeholders to establish strong professional relationships and influence outcomes.Excellent verbal and written communication skills, capable of communicating with audiences at all levels with clarity, impact and influence.Ability to plan and prioritise effectively, organise tasks and manage competing resources and demands.

Senior Data AnalystThe Opportunity:We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools such as Power BI, Web Focus, and Tableau including databases As a Data Analyst in our team, you will have the opportunity to shape the future big data landscape at leading Fortune 500 organizations and cutting-edge start-ups. You will work on customer engagements to provide insights of data. You will deliver dashboards, reports and data insights to all stakeholders to enable customers to take right decision in right time.Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion.o Cleansing and preparing data Analyzing and exploring data Expertise in statistic so Analyzing and visualizing data Reports and dashboard so Communication and writing Expertise in the domain Solution-oriented Provide quality assurance of imported data, working with quality assurance analysts if necessary. Processing confidential data and information according to guidelines. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders to understand the data-analysis steps,enabling them to take important decisions based on various facts and trends. Troubleshooting the reporting database environment

QUALIFICATIONS: Knowledge of applied mathematics, statistical methods, machine learning and algorithms with a formal degree in Business/Economics/Statistics or Engineering. Hands-on experience with SQL. Experience working with R or similar open-source statistical software. Analytical coder adept in any scripting language (Python, C++, JavaScript etc.,) Experience in applied statistics, understanding of controlled experiments is an advantage. Deadline driven, ability to work independently. Detail oriented, with a strong passion for analytics and problem solving. Excellent written and orKEY ROLES & RESPONSIBILITIES Analyze and acquire a deep understanding of game features/user behaviour/metric trends through data and share actionable and valuable insights with the team to drive product decisions Understanding business requirements and implementing analytical solutions & techniques Designing and analyzing experiments to test new product ideas Developing algorithms and predictive models to solve critical business problems and test feasibility of solution approach Prototyping new ways to visualize and understand data relationships Own the design, development, and maintenance of ongoing reports, dashboards, etc. Developing tools and libraries that will help the team to improve efficiencyal communication skills