requires a self-motivated, customer-focused professional working directly with the client's project team to ensure the customer's successful deployments of Workdays software. o Work directly with customers, functional consultants and integration consultants to establish conversion approach, complete
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
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
learnt classification models. - Experience with Search Relevancy and ranking Preferred Qualifications : - Comfortable in Unix environment (e.g., ssh and standard commands) - Experience with NoSQL data stores. - Experience with agile/scrum practices. - Experience of working with distributed teams
Preparing various reports Managing back-end operation as per given training. Must be aware of excel formulas Presentation skill email etiquette Location- Jayanagar 3rd stage Only female candidates MS OFFICE- 2007 OR ABOVE QUALIFICATION- GRADUATE (ECONOMICS HONS. & BCOM. WILL HAVE EXTRA ADVANTAGE) EXCELLENT COMMUNICATION SKILL TYPING SPEED- 35
and integration needs. Responsibilities Working with business subject matter experts and IT groups to document data attributes and requirements. Qualifications A minimum of 7 years experience Data Modeling. Knowledge of data governance, data linage, and reference and master data management processes. Oracle
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
Designation : Data analyst Location : Bangalore Experience : 2-3 year shift time : 2:00pm- 11:00pm Job Description Qualification: Candidate should be a Graduate (B.E, B.Com etc). 2 -3 years of direct participation in customer data quality projects for a large, data
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 Vector Machines, Decision Trees ...
processes and hands on with Talend, Informatica, integration of multiple data sources, creation of Enterprise data warehouse, forming data lake Understanding the fundamentals of BI and visualization 1. Good communication and interpersonal skills 2. Good educational background, MBA grads welcome for role
Mgmt and Data Quality management solutions and patterns - Primary skills: HADOOP platform exp. at minimum 4 yrs. Map reduce, PIG, Flume, SQOOP, HIVE, Impala, HBase, SPARK, KAFKA, Cassandra, HADOOP Connectors, Linux Education and Experience: - 15+ years of experience - BE
tools. Extensive knowledge of advanced excel. Ad-hoc Report Creation using advanced Excel. Cleaning and formatting large sets of collected data for analysis. Furnish insights, analytics and business intelligence needed to guide decisions. Procient knowledge in Mathematics, Statistics & Analytics
Excellent working knowledge of Microsoft Office tools, particularly MS EXcel Proficiency in generating Macros in MS Excel, Look ups, data analysis, data transformation, etc. Basic understanding of ITIL processes Passion for work and Willingness to stretch working hours to complete tasks on time
The roles and responsibilities of the Data Analyst include the following: Building SQL pivots and developing/manipulating data cubes Interacting with different stakeholders Performing requirement analysis to strategize further action points Analyzing information to determine, recommend ...