executing all technical facets of data-driven research projects • Demonstrated aptitude for explaining analytical and statistical concepts to non-technical business people • Extreme attention to detail as well as an ability to understand and articulate strategic business and operational concepts • Appetite
demanding and ambiguous environment • Strong attention to detail and exceptional organizational skills • Strong analytical & numbers acumen and be comfortable generating and evaluating forecasts, metrics • Strong knowledge of SQL (valid certification), • Data management experience will be a huge plus
Primary Responsibilities: - Create leading edge data architecture solutions using Bigdata, Hadoop and Exadata for product lines working in partnership with Product Managers, other Product Architects and DBAs - Work closely with IT Product/Application teams in technology selection, evaluation ...
The roles and responsibilities of the Senior Data Analyst include the following: Analyzing and debugging/rectifying the bugs identified Synthesizing the data into information consumable by senior business decision makers Being responsible for developing programs within the timelines assigned
create dashboards and metrics from scratch help the team at large carrying out data modelling knowledge on Business Intelligence applications such as Tableau & QlikSense and their integration with statistical computing applications for advanced analytics. Practical Understanding of Data Warehouse
5 10+ years of work experience in relevant domains (BFSI, Retail, Supply Chain Health Care, Pharma, Retail etc) with hands on experience handling data driven decisions Minimum 3 years' of Data Science experience Must have strong combination of programming experience (Python, SAS, R ) Proficiency
and supporting analytical data solutions. Responsibilities include Work with technical and business partners on technical solutions based on data. Produce concise and clear technical specifications and other related technical documentation Preparing solid analytics design Building model. Support the Data Science
representation, processing, storage, communication of, and access to data and information. The ability to automate algorithmic processes that scale. Big Data Analysis: Strong ability to manage and analyze data in a Hadoop environment using a variety of scripts, including Scala/Spark, R, and others. Computer
Activities include understanding business objectives, facilitating visual design mockup sessions, innovating and identifying improvements to existing visualization techniques, mentoring team members, and supporting a company-wide How People See Data campaign to transform how individuals within
documentation, data management and data quality skills Ability to train and guide team members and help them improve the technical abilities Experienced in Excel/database based automation and tools development Experience range- 5-7 years Shift timing- Currently the team is working in 9:00am-6:00pm shift
Expertise with one of the following scripting languages; Python, R, Knime, Mat-lab, Java, Mat-lab/Octave OpenNLP, WordNet, NLTK Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support
Design solutions and lead execution of analytics engagements (including but not limited to Text mining) in various industry verticals by understanding client problems, and identifying most suitable approach. Design and develop new analytics solutions for go-to-market for clients. Provide technical (Analytics) leadership to project teams of various skill sets who are developing analytical solutions to ...
Please find below Job Description : Any Graduates/Under-graduates. Min 40+ WPM. Accuracy 95 %+. Deciphering Score: 75%+ CTC: 13,000 Working Hours: Full time Shift: Rotational Transportation Provided: Yes Interview Process: CX Screening + Typing Test + Deciphering Test + Ops
to work autonomously in a highly demanding and ambiguous environment Strong attention to detail and exceptional organizational skills Strong analytical & numbers acumen and be comfortable generating and evaluating forecasts, metrics Strong knowledge of SQL (valid certification), Data management