[IN] Data Analytics Associate

Data Analytics Associate Full Time Bangalore, IN Innovate with Benchmark Gensuite as Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you’ll be helping customers throughout the business community empower informed decision making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world better for the planet and better for its employees. Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses’ sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve your skills to develop fresh ideas and initiatives. Benchmark Gensuite Benefits At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly give excellent performers their due. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers. About Benchmark Gensuite Benchmark Gensuite® enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform—locally, globally and across diverse operating profiles. With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite® platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite® with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation. Responsibilities • Working with Tableau tool to create customer-facing reports on Benchmark application data and scoping said reports • Working with customer services teams to finalize efforts for proposal creation. • Working with Application DEV teams to finalize data models to bring into the Tableau reports • Entail ongoing maintenance to these reports and investigate for data accuracy concerns Education and qualifications: Qualification & Experience: • Bachelor’s degree in information systems/computer science, with course work in database management, and computer-related training. • 1-2 years of relevant experience in data analysis field, highly desirable • Must be able to clearly understand and articulate a data science problem and work on it independently. • Experience in implementing and optimizing various algorithms of big data analytics, machine learning and statistical algorithms using computer languages such as SQL. • Experience with Python is an added advantage. • Extensive background in data mining and statistical analysis. • Able to understand various data structures and common methods in data transformation. • Excellent pattern recognition, natural language processing (NLP), predictive and machine learning modelling. • Advanced skills in Excel as well as any data visualization tools like Tableau, Power BI, or similar BI tools (familiarity with Tableau and/or Power BI preferred). • Advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required. • An ability and interest in working in a fast-paced and rapidly changing environment. • Good communication skills. • Strong commitment to results and responsive, who understands sense of urgency