Business Analyst Job Description About Us DataWeave is a Data Platform which aggregates publicly available data from disparate sources and makes it available in the right format to enable companies take strategic decisions using trans-firewall Analytics. It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver Roles and Responsibilities: Own overall relationship with assigned clients, which include: Increasing adoption, ensuring retention, and satisfaction. Work with the internal delivery team to ensure delivery quality to exceed client's expectations. Establish a trusted/strategic advisor relationship with each assigned client and drive continued value of our products and services. Develop, prepare, and nurture customers for testimonials, references and case studies. Work with clients to establish critical goals, or other key performance indicators and aid the customer in achieving their goals. Work to identify and/or develop upsell opportunities. Ensure billing and collection of the assigned accounts is under control. Advocate customer needs/issues cross-departmentally. Manage account escalations. Skills and Requirements: Proven ability to drive continuous value of solutions/products. Familiarity working with clients of all sizes. Impeccable written and verbal communication skills. Detail oriented and analytical. Strong team player but still a self-starter. Thrives in a multi-tasking environment and can adjust priorities quickly. Growth at DataWeave Fast paced growth opportunities at dynamically evolving start-up. You have the opportunity to work in many different areas and explore wide variety of tools to figure out what really excites you. Competitive Salary Packages
3 or more years of experience in Python programming Good understanding of Object oriented programming concept. Should have working knowledge with flask and mongodb. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas,Numpy,Scikit learn,Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modelling or image recognition Data visualisation skills, e.g. in Tableau or qlikview would add advantage.
Simplilearn.com is the world’s largest professional certifications company and an Onalytica Top 20 influential brand. With a library of 400+ courses, we've helped 500,000+ professionals advance their careers, delivering $5 billion in pay raises. Simplilearn has over 6500 employees worldwide and our customers include Fortune 1000 companies, top universities, leading agencies and hundreds of thousands of working professionals. We are growing over 200% year on year and having fun doing it. Description We are looking for candidates with strong technical skills and proven track record in building predictive solutions for enterprises. This is a very challenging role and provides an opportunity to work on developing insights based Ed-Tech software products used by large set of customers across globe. It provides an exciting opportunity to work across various advanced analytics & data science problem statement using cutting-edge modern technologies collaborating with product, marketing & sales teams. Responsibilities • Work on enterprise level advanced reporting requirements & data analysis. • Solve various data science problems customer engagement, dynamic pricing, lead scoring, NPS improvement, optimization, chatbots etc. • Work on data engineering problems utilizing our tech stack - S3 Datalake, Spark, Redshift, Presto, Druid, Airflow etc. • Collect relevant data from source systems/Use crawling and parsing infrastructure to put together data sets. • Craft, conduct and analyse A/B experiments to evaluate machine learning models/algorithms. • Communicate findings and take algorithms/models to production with ownership. Desired Skills • BE/BTech/MSc/MS in Computer Science or related technical field. • 2-5 years of experience in advanced analytics discipline with solid data engineering & visualization skills. • Strong SQL skills and BI skills using Tableau & ability to perform various complex analytics in data. • Ability to propose hypothesis and design experiments in the context of specific problems using statistics & ML algorithms. • Good overlap with Modern Data processing framework such as AWS-lambda, Spark using Scala or Python. • Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting various A/B experiments. • Bachelor Degree in Statistics or, prior experience with Ed-Tech is a plus
Sr BI Analyst / Lead BI Analyst Must Have: At least 3 to 6 years of techno functional / technical experience in delivering projects for Large Enterprises Strong background in data analysis, data sources, data warehouse and business intelligence Progressive experience in areas of ETL, Data Modelling, Data Visualization, Reporting and Analytics Familiarity with database concepts, SQL queries, joins and programming Experience in system administration, problem debugging, and solution design Formal education in technology, engineering and programming Ability to demonstrate strong technical aptitude Experience in handling customer communication Ability to manage individual contribution and workload, setting expectations and self-learning Familiarity with self-service BI products such as Tableau, Qlikview, Spotfire, Power BI, MSBI Additional Requirements (Nice to have): Understanding of data challenges encountered by business users Domain expertise to any of the following domains highly desired - Finance, Banking, Insurance, Healthcare, Pharmaceuticals