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Monami Das

Talent Acquisition at Kabbage

Last Login: 13 January 2016

Job Views:  
3358
Applications:  55
Recruiter Actions:  33

Posted in

Consulting

Job Code

238128

Data Analyst - Big Data - Startup

4 - 7 Years.Bangalore
Posted 8 years ago
Posted 8 years ago

DATA ANALYST

COMPANY OVERVIEW

Travel Products International (TPInter LP) is an international holding company which offers a wide range of products and services providing technological infrastructure in the online travel industry through its subsidiaries in India (Skyrocket Software) and Poland (Traveltech). The Travel Products International headquarter is located in Scotland.

- Simplio is a US-based shared project of Travel Products International, Wigmore Ventures (and others) and is the prime asset for global market domination. It operates independently of other ventures of Travel Products International.

- Skyrocket Software is an India-based software development company which specializes in fulfilling development orders for Simplio and other companies in the structure

JOB DESCRIPTION

Technical Skills:

Able to perform A/B and multivariate testing based on different hypotheses to directly and indirectly impact different Key Performance Indicators

Experience in Google Analytics a big plus

Strong skills with data modelling using R/Python/Matlab.

Develop statistical models/machine learning algorithms to solve client specific business problems.

Data visualization experience with Tableau/D3 a plus

Possess strong data mining skills (including data auditing, aggregation, validation and reconciliation)

Architect Machine Learning framework for Data capture, Data aggregation, Data enrichment, Algorithm development and Algorithm implementation.

Customer segmentation and predictive modelling techniques like CART, CHAID, Regression, Clustering etc.

Experience on any of the hadoop distribution - Cloudera, Hortonworks, MapR etc. along with YARN, Pig, Hive/Tez, Sqoop, Oozie etc.

Experience in NoSQL databases - Hbase, Redis, Cassandra, Neo4j, MongoDB a big plus

Strong experience working with relational databases and SQL.

Extensive hands on UNIX/LINUX environment.

Extensive hands on experience working with very large data sets and unstructured data, including data cleansing/transformation.

Exposure in Machine learning techniques including Bayesian methods, Neural networks, Support vector machines, Hidden Markov Models.

Analyse complex data from various sources to build next-generation ML/NLP systems.

Should have a good knowledge on data pipelining in both structured and unstructured data environments.

Design optimal framework and architecture for capturing and analysing data.

Develop innovative solutions for parallelizing and optimizing analytical algorithms.

Ability to communicate complex findings and ideas in plain language

Basic understanding of underlying business problems/processes for Travel/e-commerce industry is a plus.

Project Management Skills:

Understand and meet the project delivery schedule for tasks assigned.

Strong organizational skills and be able to timeshare across multiple tasks.

Document and communicate task progress and status to the Senior Manager.

Ability to anticipate and recognize potential project schedule and delivery issues and take appropriate action to remedy the issues.

A self-starter, takes initiative, has the ability to deliver upon assigned tasks with limited guidance from senior team members.

Project Delivery Skills:

Key responsibilities will include capturing and assessing Skyrocket's strategic business issues, identify requirements, and propose/develop appropriate enterprise solutions.

Works closely with Senior Manager, other Consulting personnel, and the customer to ensure a smooth implementation and transition from start-up to integration/production mode.

Understand and follow the project governance and communication plan

Understand task completion criteria and obtain peer review when possible for each assigned task prior to delivery

Be able to effectively utilize delivery toolkits and project document templates

Can perform with minimal supervision

Interpersonal Skills, Teamwork, and General Requirements

Strong ability to communicate deep analytical results in forms that resonate with business collaborators, highlighting actionable insights.

Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business problems.

Collaborate with industry experts to define the data modeling goals for designated project areas.

Strong written and verbal communication skills, ability to produce high quality outputs.

Plan and schedule computing, research and reporting activities in order to meet established timetables and objectives.

Effectively communicate about assigned project tasks when called upon to do so at project meetings and presentations.

Team player, ability to effectively work in a team environment to complete project tasks.

Comply with all Skyrocket's guidelines for workplace conduct.

LOCATION- BANGALORE

REPORTING TO SENIOR MANAGER - DATA SCIENCES

YEARS OF EXPERIENCE 4 - 7 YEARS

CANDIDATE REQUIREMENTS:

BE / MS / MCA from a premier institute

Educated to Degree Level in a numerate discipline (e.g. Mathematics, Statistics, Engineering, Physics) preferable

4 - 9 years of technical solutions experience including 4+ years in Big Data/Analytics/customer data analytics

Enjoying discovering and solving problems

Supports the business and the big data scientist in delivering valuable insights

Being able to work in stressful situation when insights in (new) data sets are required quickly

Strong understanding of Technology in Big data Space

Understanding of underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)

Working with data formats, definitions, structures, warehouses, integration, SQL a must. Previous e-commerce/Online Travel data experience preferable

Maintain Commercial and Open Source awareness of solutions

Possesses strong design and architecture skills. Perform detailed analysis of technology problems and technical environments and use it in designing solutions

Excellent oral and written English communication skills.

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Posted By

user_img

Monami Das

Talent Acquisition at Kabbage

Last Login: 13 January 2016

Job Views:  
3358
Applications:  55
Recruiter Actions:  33

Posted in

Consulting

Job Code

238128

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